POPULAR
immersive learning
Post Graduate Program
in Artificial Intelligence & Data Science
The IT industry is undergoing a seismic shift, and the demand for skilled data science and artificial intelligence (AI) professionals is skyrocketing. A post-graduate program in artificial intelligence artificial and data science positions you at the forefront of this transformation. Emerging India Analytics’ program equips you with the expertise to unlock a thriving career in this dynamic field, empowering you to solve complex challenges and drive innovation through the power of data and intelligent systems.
Introduction
Data Science and Artificial Intelligence
The IT industry is undergoing a seismic shift, and the demand for skilled data science and artificial intelligence (AI) professionals is skyrocketing. A post-graduate program in data science and artificial intelligence positions you at the forefront of this transformation. Emerging India Analytics’ program equips you with the expertise to unlock a thriving career in this dynamic field, empowering you to solve complex challenges and drive innovation through the power of data and intelligent systems.
Meet Your Mentors
Dr Santosh Srivastava
Lead Consultant & Master Trainer
Dr Santosh Srivastava
Lead Consultant & Master Trainer
Dr Santosh Srivastava is a PhD holder and have more than 12 years of experience in Training, Research and Consultancy as Data Scientist in prestigious organizations including Metagrit Technologies, NIIT Technologies, IIT Roorkee and ISB Mohali.
- Phone: +91 88605 99698, 0120 457 5657
- Email: care@emergingindiagroup.com
S Suresh Kumar
Data Scientist & Data Science/Analytics Trainer
S Suresh Kumar
Data Scientist & Data Science/Analytics Trainer
<i>Mr S Suresh Kumar is an experienced and innovative Data Scientist with over 26 years of expertise in executing data-driven analytical solutions. With a strong research orientation and a focus on quality, he continuously seeks to increase the efficiency, accuracy, and utility of internal data processing.Having a proven track record, Mr S Suresh Kumar excels in creating predictive data models and developing custom ML/DL algorithms to drive efficient AI solutions. Mr S Suresh Kumar’s proficiency in analyzing data mining algorithms enables the delivery of valuable insights and the implementation of action-oriented strategies to address complex business problems effectively. Furthermore, he has demonstrated his proficiency in designing and developing Business Intelligence (BI) and Business Analytics (BA) solutions, utilizing tools like TABLEAU and PowerBI to empower businesses with data-informed decision-making capabilities. To ensure successful project outcomes, S Suresh Kumar has been using agile methodologies such as KANBAN and SCRUM in the workplace, fostering efficiency and collaboration in project management.In summary, S Suresh Kumar’s extensive experience, research-driven approach, and result-oriented mindset position him as a valuable asset capable of delivering innovative and disruptive data solutions across various domains.</i>
- Phone: +91 88605 99698, 0120 457 5657
- Email: care@emergingindiagroup.com
Saurabh Tripathi
Data Scientist & Data Science/Analytics Trainer
Saurabh Tripathi
Data Scientist & Data Science/Analytics Trainer
<i>Mr. Saurabh Tripathi achieved academic excellence as the batch topper in M.Tech (Software Engineering) with an impressive 82% in 2013, following his B.E. (Computer Science and Engineering) degree in 2010. With a career spanning over 5 years, he has made significant contributions to the fields of Artificial Intelligence and Data Science. Presently, Saurabh holds the position of Senior Data Science Consultant at SynergisticIT Pvt Ltd in the USA, where he collaborates with prestigious end clients. His professional journey showcases a remarkable track record in startups, coupled with substantial technical proficiency in Deep Learning, AI, and Data Science domains. He has amassed over 6 years of experience in the Edutech industry, providing training and consultation in Python and Data Science AI projects. Additionally, he boasts more than 5 years of hands-on involvement in AI and Data Science development, as well as analytics expertise. He has served as a consultant for more than 7 startups, including companies like Digicrome, Careerera, Sevenmentor, mastertechgurus, NexgenAI, mindmagix, and Saraswati Edutech. In these roles, he has played a pivotal part in constructing products from the ground up, resulting in substantial financial gains. His repertoire encompasses project creation and analytics work in the Artificial Intelligence and Data Science realm. Notable project examples include sentiment analysis, chatbot implementation, and text summarization. Beyond project contributions, Saurabh’s prowess extends to securing numerous business deals for his company. He is well-versed in assembling AI and Data Science teams in accordance with project requirements and formulating intricate technical strategies to steer projects to success. His comprehensive proficiency in startup dynamics is complemented by his specialization in the EduTech sector. Notably, he excels in fostering project development, team cultivation, and skill enhancement Saurabh is also a valuable asset to Research and Development initiatives, showcasing expertise in this department. His career trajectory underscores his ability to drive startups, leverage technological acumen, and enhance AI and Data Science landscapes through meticulous research and strategic implementation.</i>
- Phone: +91 88605 99698, 0120 457 5657
- Email: care@emergingindiagroup.com
lEARN WITH A WORLD CLASS CURRICULUM
Module 1. Data Science with Advanced Excel, Python, Statistics, Machine Learning, Deep Learning and R-Programming
Orientation (Introduction to Data Science, Scope of Data Science)
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📚No. of Lectures:1
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⏳Duration of Lecture:1.5 hours
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📝Assesment:0
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🌟Assignment: 0
- Microsoft Excel Overview, Formatting excel and shortcuts.
- Basic Formulas, Sorting data, Filtering data, Column chart.
- Pie chart, Pivot tables, Vlookup, Match Function, Lookup Function.
- VBA, Interview Questions.
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Assessment: 3
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🌟Assignment: 2
- Why Python, PEP-8, Variables,Data Types, Operators,Strings, Indexing
- Block Structure, Data Structures.
- Functions, Lamda Function ,Modules, Class.
- Intro to Numpy, Pandas,
- Pandas, Matplotlib.
- Seaborn.
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📚No. of Lectures: 6
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⏳Duration of Lecture: 18 Hours
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📝Assessment: 3
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🌟Assignment: 2
- Descriptive stats [Sample, Population, Mean, Median, Mode, Std Deviation, Variance, Range, IQR, Outliers]
- skewness, kurtosis,Probability
- Probability Distributions- Discrete Probability Distribution [Probability Mass Function, Binomial Distribution, Poisson Distribution, Discrete Uniform Distribution
- Probability Distributions- Continuous Probability Distribution [Probability Density Function, Normal Distribution, Continuous Uniform, Exponential Distribution, Central Limit Theorem, Confidence Interval
- Hypothesis testing [Z test: One Sample , Student T distribution: One Sample T-test, Two Sample T-test]
- Hypothesis testing : [Chi Square- Chi-Square goodness of fit, Chi square test of independence]
- Annova [one Way Annova]
- Covariance, Correlation [ Pearson, Spearman, Linear]
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Assessment: 4
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🌟Assignment: 2
- Introduction to ML, Encoding, Feature Scaling[Normalization, Standardization], Linear regression
- AUC ROC Curve, Confusion Matrix, MSE, MAE,RMSE, R2 Score, Adj R2 Score, F1 Score, Accuracy
- Logistic Regression,Decision Trees
- Cross Validation [K-fold cross-validation, Hold-out cross-validation, Stratified k-fold cross-validation]
- Naive Bayes,KNN
- SVM,Random Forest
- Type 1 and Type 2 error, Lasso Regression, Ridge Regression
- Ada Boost, Adagrad
- XgBoost
- PCA,K-Means
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📚No. of Lectures: 10
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⏳Duration of Lecture: 30 Hours
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📝Assessment: 4
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🌟Assignment: 4
- Introduction to Neural Network, Foreward Propagation, Activation Function
- Activation Function[ Linear, Sigmoid, Tanh, ReLu, Leaky ReLu, ELU, Softmax, Swish]
- Optimizers[ SGD, RMSProp, Adam, Adadelta, Adamax, Adagrad,Nadam]
- Loss [Classification- BinaryCrossentropy class/ CategoricalCrossentropy class/ SparseCategoricalCrossentropy class/ Poisson class/ binary_crossentropy function/ categorical_crossentropy function/ sparse_categorical_crossentropy function]
- Loss[Regression- MeanSquaredError class, MeanAbsoluteError class, MeanAbsolutePercentageError class MeanSquaredLogarithmicError class, CosineSimilarity class]
- Weight Initialization [ Xavier Weight Initialization, Normalized Xavier Weight Initialization, He weight Initialization]
- Padding, Pooling, Convolution
- NN Implemention
- Callbacks [ ReduceLROnPlateau, ModelCheckpoint]
- Callbacks [Earlystopping, TensorBoard], Keras Tuner
- Neural Network Implementation
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📚No. of Lectures: 11
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⏳Duration of Lecture: 33 Hours
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📝Assesment: 3
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🌟Assignment: 2
- Introduction to TSA, Component of TSA
- Methods to check stationarity [ADF (Augmented Dickey-Fuller), KPSS (Kwiatkowski–Phillips–Schmidt–Shin)]
- Time Series Analysis – AR
- Time Series Analysis [Moving Average, Simple Moving Average (SMA), Cumulative Moving Average (CMA) Exponential Moving Average (EMA)]
- ACF, PACF, ARMA, ARIMA
- LSTM, GRU
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📚No. of Lectures: 6
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⏳Duration of Lecture: 33 Hours
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📝Assesment: 3
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🌟Assignment: 2
- What is R Programming, Variables and Data Type in R.
- Logical Operators,Vectors,List,Matrix,Data Frame,Flow Control, Functions in R.
- Data Manipulation in R- dplyr, Data Manipulation in R- tidyr.
- Data Visualization In R,
- 📚No. of Lectures: 4
- ⏳Duration of Lecture: 12 Hours
- 📝Assessment: 2
- 🌟Assignment: 0
Project Discussion and Doubts Class.
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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🌟Projects: 5
Module 2. Business Intelligence Using SQL,Tableau and Power Bl
Orientation Session(Introduction to Business Intelligence)
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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📝Assessment: 0
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🌟Assignment: 0
- BASIC OF DATABASE,TYPES OF DATA BASE,DATA TYPES,SQLOPERATORS,EXPRESSION (BOOLEAN,DATE,NUMERIC), CREATE,INSERT
- DROP,TRUNCATE,DELETE,ALTER, UPDATE,SELECT, RANGE OPERATER,IN,WILDCARD, LIKE CLAUSE
- CONSTRAINT,AGGREGATION FUNCTION,GROUP BY,ORDER BY , HAVING,
- JOINS,CASE,COMPLEX QUERIES,DOUBT CLEARING
- Trigger, Stored Procedures, Common Table Expression, Index, Except, Exists, Grouping set
- Pivot, Rollup, Cube, Constraints, Partition
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📚No. of Lectures: 6
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⏳Duration of Lecture: 18 Hours
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📝Assessment: 3
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🌟Assignment: 2
- Tableau Desktop, Tableau products
- Data import, Measures, Filters
- Data transformation, Marks, Dual Axis
- Pareto Analysis, Table calculation, Multiple data source blending
- Advanced charting techniques, Tableau prep tool
- Manage worksheets, Data visualization, Dashboarding,Project
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📚No. of Lectures: 6
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⏳Duration of Lecture: 18 Hours
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📝Assessment: 3
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🌟Assignment: 2
- POWER BI PLATFORM, PROCESS FLOW
- FEATURES, DATASET,BINS
- PIVOTING, QUERY GROUP,DAX FUNCTION
- Multiple data source blending
- Basic of SSIS for ETL
- FORMULA, CHARTS, REPORTS, DASHBOARDS
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📚No. of Lectures: 6
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⏳Duration of Lecture: 18 Hours
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📝Assessment: 3
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🌟Assignment: 1
Project Discussion and Doubts Class.
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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🌟Projects: 3 – 5
Module 3. BIG DATA
Orientation- Introduction to Big Data Analytics
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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📝Assessment: 0
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🌟Assignment: 0
- Introduction, Installation, Data Modelling , Database operation- create and drop, Collection- create and drop Data types, Insert, Query
- Update, Delete, Find, Limit , Skip, Create Index, ObjectID
- Aggregate, Replication, Shrading, Dumping and Restore, Mongostat and Mongotop,
- MongoDB client setup using Java, Reference and Embedded Relationship, DbRefs, Cover Query, $explain, $hint
- findAndModify, Indexing Array and subfield, ObjectId, Mapreduce, Text Search, Index, RegeX
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📚No. of Lectures: 5
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⏳Duration of Lecture: 15 Hours
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📝Assessment: 2
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🌟Assignment: 1
- Installation, Syntax [main()/printIn()/print()], Variable [String, Int, Boolean, float, char]
- Datatypes, Type casting, Operators, conditions, loop [ for, while], switch, break, continue
- array, methods [ parameters, overloading, recursion]
- Class [attributes, constructors, modifiers, oops, encapsulation, polymorphism, enums, abstraction, interface, exceptions, iterator, hashmap, hashset,threads], file handling
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📚No. of Lectures: 5
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⏳Duration of Lecture: 15 Hours
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📝Assessment: 2
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🌟Assignment: 1
- Types of Data,Introduction to Bigdata(History,V’s of Bigdata, Advantages & Disadvantages of BigData ), Use of Bigdata in different sectors, Introduction to Hadoop, Scaling (Horizontal and Vertical), Challenges in Scaling, Concept and challenges in parallel computing, Distributed Computing and use in Hadoop,Intro to Tools in Hadoop, Life cycle of Bigdata Analytics
- On Premises Installation Oracle Virtual Box and setup of VM & Ubuntu, Basic Linux command,Download and Installation of Hadoop,Introduction to Hadoop, Core components of Hadoop, Hadoop working Principle,HDFS Architecture
- VM creation on Cloud (AZURE), Configuration & Insight to Single Node Hadoop Deployment(bsshrc, hadoop-env, core-site, hdfs-site,mapred-site,yarn-site) , Format HDFS Namenode.
- Hadoop Commands and implementation
- Mapreduce, Mapreduce Implementation
- Mapreduce Implementation, Introduction to Hive, Hive Installation,Hive Implementaion,
- Hive Query Language, SQL Opeartions
- HIVE_SQL Opeartions
- Introduction to Sqoop, Hbase, Installation of Sqoop, Installation of Hbase, Installation of Spark, Hbase Query
- Hbase Query, PySpark Query
- PIG Installation and Query
- Oozie
- Flume [Introduction , Architecture, Environment, Implementation]
- Scala [ introduction, Architecture, Environment, Variable, Functionsclass objects]
- Scala [ Operators, Traits, Implementation]
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📚No. of Lectures: 16
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⏳Duration of Lecture: 48 Hours
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📝Assessment: 6
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🌟Assignment: 3
Project Discussion and Doubts Class.
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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🌟Projects: 3-5
MODULE 4: Generative AI
- Introduction to AI, Hype vs. Reality, Business Applications, Ethical Considerations, Introduction to Generative AI, From Text Generation to Multimodal Models, Potential and Challenges
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Aassessment: 0
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🌟Assignment: 0
- Introduction to open source Huggingface transformers platform, Review of NLP Basics & Text Pre-processing, Introduction to NLP Concepts: Language Representations, Tokenization, Part-of-Speech Tagging, Text Preprocessing
- Feature Engineering: Normalization, Stemming, Lemmatization, Stop Word Removal, Understanding key NLP Applications using Huggingface platform
- Sentiment analysis, Sentence classification, Generating text, Extracting an answer from text
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📚No. of Lectures: 3
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⏳Duration of Lecture: 9 Hours
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📝Aassessment: 2
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🌟Assignment: 1
- Sorting, Conditional Execution, Assignment Statement, Modifying Variable attribute,
- Functions, Coercion, Loops, Data Validation, DataWrangling
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📚No. of Lectures
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⏳Duration of Lecture
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📝Worksheets
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🌟Test/Projects
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Introduction to Large Language Models (LLMs)
– Structure of popular models
– Types of Models: text to text, text to image, text to video, multimodal - Other types of Generative AI algorithms
– GANs ( Generative Adverserial Networks),
– Variational Autoencoders (VAEs), Diffusion Models, Mixture of Experts,
– Diffferent models available currently for image ( DALLE-2, Midjourney) - Hands on practice of NLP tasks using Huggingface library and opensource language models such as Bloom for finetuning a LLM, zero and few shot classification,
-Applications of Generative AI in business - – Customer Insights & Sentiment Analysis
– Personalized Marketing & Content Creation
– Chatbots: Automating Customer Service and Support
– Document Processing Automation
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Aassessment: 2
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🌟Assignment: 1
- AI Application Stack: Infrastructure & foundation layer
– Overview of AI infrastructure: cloud platforms, GPU, and distributed computing,
– Setting up an AI environment for generative models
– Infrastructure considerations for scalable AI applications
– Retrieval augmentation generation or RAG
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assesment: 1
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🌟Assignment: 0
- Langchain, Applied use case for Gen AI
– hands on exercise
– Designing a custom chatbot
– Data analytics using Gen AI model such as OpenAI API
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assesment: 0
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🌟Assignment: 1
- Hallucination, Data Privacy, Ethics, and Environmental Impact of AI & future of Work
– Importance of data privacy in AI applications
– Ethical considerations in AI development and Deployment
– Environmental Impact and Sustainability in AI
– The Future of Work: How AI Will Reshape Roles and Responsibilities
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assesment: 1
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🌟Assignment: 1
Project Discussion and Doubts Class.
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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🌟Projects: 3-5
MODULE 5: ARTIFICIAL INTELLIGENCE
Introduction to text mining, text processing using python.
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 0
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🌟Assignment: 0
- Introduction to text mining, text processing using python
- Introduction to NLTK, Tokennization, Stemming, Bag of words
- Sentiment Analysis, Name- Entity Recognition
- Text Segmentation, Text Mining, Text Classification
- LDA
- Automatic speech recognition (Librosa/gardio/transformers)
- Automatic speech recognition (Librosa/gardio/transformers)
- 📚No. of Lectures: 7
- ⏳Duration of Lecture: 21 Hours
- 📝Assessment: 4
- 🌟Test/Projects
- Introduction to Image Processing, Feature Detection, OpenCV
- Convolution, Padding, Pooling & its Mechanisms
- Forward Propagation & Backward Propagation for CNN
- CNN Architectures like AlexNet, VGGNet, InseptionNet, ResNet, Transfer Learning
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Aassessment: 2
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🌟Assignment: 1
- Introduction, YOLO Architecture, Working Methods
- Application, Pre trained object detection
- Custom trained object detection, Darknet preparation, Data collection, Image labelling, Sync Compilation and testing
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📚No. of Lectures: 3
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⏳Duration of Lecture: 9 Hours
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📝Aassessment: 1
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🌟Assignment: 1
- RL Framework, Component of RL Framework, Exampes of Systems
- Types of RL Systems, Q-Learning
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Aassessment: 1
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🌟Assignment: 1
Project Discussion and Doubts Class.
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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🌟Projects: 3-5
MODULE 6: DSA
- Orientation
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📚No. of Lectures: 1
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⏳Duration of Lecture: 1.5 Hours
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📝Assessment: 0
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🌟Assignment: 0
- Introduction to Data Structure [What are Data Structures?, Types of Data Structures, Types of Algorithms]
- Recursion[ What is Recursion?, How Recursion works?, Recursive vs Iterative Solutions, When to use/avoid Recursion?, How to find Fibonacci numbers using Recursion?]
- Big O [Analogy and Time Complexity, Big O, Big Theta and Big Omega, Space Complexity, Drop the Constants and the non-dominant terms, Add vs Multiply, measure the codes using Big O?,time complexity for Recursive calls?]
- Arrays[Types of Arrays, Arrays in Memory, Operation on one dimensional and two-dimensional array,Time and Space complexity of one-dimensional Array and two-dimensional Array]
- Dictionaries ,Tuples, LIst [ What is a List, List Operations, Common List pitfalls and ways to avoid them, Time and Space Complexity of List]
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 1
- Circular Singly Linked List [Insertion in Circular Singly Linked List, Insertion Algorithm in Circular Singly Linked List, Insertion method in Circular Singly Linked List, Traversal of Circular Singly Linked List,Searching a node in Circular Singly Linked List, Deletion of a node from Circular Singly Linked List, Deletion Algorithm in Circular Singly Linked List, Method in Circular Singly Linked List, Deletion of entire Circular Singly Linked List, Time and Space Complexity of Circular Singly Linked List]
- Doubly Linked List [ Creation of Doubly Linked List, Insertion in Doubly Linked List, Insertion Algorithm in Doubly Linked List, Insertion Method in Doubly Linked List, Traversal of Doubly Linked List
- Reverse Traversal of Doubly Linked List, Searching for a node in Doubly Linked List, Deletion of a node in Doubly Linked List, Deletion Algorithm in Doubly Linked List, Deletion Method in Doubly Linked List, Deletion of entire Doubly Linked List, Time and Space Complexity of
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 3
- Doubly Linked List
- Linked List [ Insertion in Singly Linked List in Memory, Insertion in Singly Linked List Algorithm, Insertion Method in Singly Linked List, Traversal of Singly Linked List, Search for a value in Single Linked List, Deletion of node from Singly Linked List, Deletion Method in Singly Linked List, Deletion of entire Singly Linked List, Time and Space Complexity of Singly Linked List]
- Queue [ Queue using Python List – no size limit and operations (enqueue, dequeue, peek), Circular Queue and Operations (enqueue, dequeue, peek), Linked List and Operations (Create, Enqueue(), Dequeue(), isEmpty, Peek),, Time and Space complexity of Queue using Linked List]
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 2
- Binary Tree [Binary Tree, Types, Basic Operations, Searching for a node in Binary Tree, Insertion, Deletion, Traversals with LinkedList and List, PreOrder , InOrder , PostOrder LevelOrder]
- Binary Heap[ Binary Heap Property, Heap Operations Creation, Peek, Insertion, Extraction, Deletion ,Time and space complexity of Binary Heap]
- Sort Algorithms [What is Sorting?,Types of Sorting, Sorting Terminologies, Bubble Sort, Selection Sort, Insertion Sort, Bucket Sort, Merge Sort, Quick Sort, Heap Sort]
- Circular Doubly Linked List [ Creation of Circular Doubly Linked List, Insertion in Circular Doubly Linked List, Insertion Algorithm in Circular Doubly Linked List, Insertion Method in Circular Doubly Linked List
- Traversal of Circular Doubly Linked List, Reverse Traversal of Circular Doubly Linked List, Search for a node in Circular Doubly Linked List, Delete a node from Circular Doubly Linked List, Deletion Algorithm in Circular Doubly Linked List, Deletion Method in Circular Doubly Linked List, Entire Circular Doubly Linked List, Time and Space Complexity of Circular Doubly Linked List, Time Complexity of Linked List vs Arrays ]
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 2
- Stack [Stack Operations, Create Stack using List without size limit, Operations on Stack using List (push, pop, peek, isEmpty, ), Create Stack with limit (pop, push, peek, isFull, isEmpty, ), Create Stack using Linked List
- Operation on Stack using Linked List (pop, push, peek, isEmpty, ), Time and Space Complexity of Stack using Linked List]
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment 2
- Binary Search Tree [Binary Search Tree, Insert a node to BST, Traversal, Search , Delete , Delete entire BST]
- AVL Tree [Operations on AVL Trees- Insertion,Left Left Condition, Left Right Condition, Right Right Condition, Right Left Condition, Deletion , Left Left Condition, Left Right Condition, Right Right Condition, Right Left Condition, Time and Space complexity of AVL Tree]
- Trie [Introduction to Trie, Common Operations on Trie , Insert a string in Trie, Search for a string in Trie, Delete a string from Trie
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 2
- Hashing [What is Hashing? Why do we need it?, Hashing Terminology, Hash Functions, Collision Resolution Techniques, Hash Table ]
- Searching Algorithms [Introduction to Searching Algorithms, Linear Search, Binary Search, Time Complexity of Binary Search]
- Greedy Algorithms[ Introduction, Greedy Algorithm, Activity Selection Problem, Coin Change Problem, Fractional Knapsack Problem]
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 1
- Divide and Conquer Algorithms[ Divide and Conquer AlgorithM, Common Divide and Conquer algorithms, How to solve Fibonacci series using Divide and Conquer approach?, Number Factor House Robber, Convert One String to another, Zero One Knapsack problem , Longest Common Sequence Problem, Longest Palindromic Subsequence , Minimum cost to reach the Last cell , Minimum Cost to reach the Last Cell in 2D array , Number of Ways to reach the Last Cell with given Cost
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 2
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🌟Assignment: 1
- Graph Algorithms[ Graph Representation, Create a graph using Python, Graph traversal – BFS, BFS Traversal in Python, Graph Traversal – DFS,DFS Traversal in Python, BFS Traversal vs DFS Traversal, Topological Sort, Topological Sort Algorithm, Topological Sort in Python, Single Source Shortest Path Problem (SSSPP), BFS for Single Source Shortest Path Problem (SSSPP), BFS for Single Source Shortest Path Problem (SSSPP) in Python, Why does BFS not work with weighted Graphs?, Why does DFS not work for SSSP?, Dijkstra’s Algorithm for SSSP, Dijkstra’s Algorithm in Python, Dijkstra Algorithm with negative cycle, Bellman Ford Algorithm, Bellman Ford Algorithm with negative cycle, Why does Bellman Ford run V-1 times?, Bellman Ford in Python, BFS vs Dijkstra vs Bellman Ford, All pairs shortest path problem
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📚No. of Lectures: 1
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⏳Duration of Lecture: 3 Hours
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📝Assessment: 1
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🌟Assignment: 1
- Dry run for All pair shortest path, Floyd Warshall Algorithm, Why Floyd Warshall?, Floyd Warshall with negative cycle,, Floyd Warshall in Python,, BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,Minimum Spanning Tree, Disjoint Set, Disjoint Set in Python, Kruskal Algorithm, Kruskal Algorithm in Python, Prim’s Algorithm, Prim’s Algorithm in Python,Prim’s vs Kruskal
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📚No. of Lectures: 1
-
⏳Duration of Lecture: 3 Hours
-
📝Assessment: 1
-
🌟Assignment: 1
Project Discussion and Doubts Class.
-
📚No. of Lectures: 1
-
⏳Duration of Lecture: 1.5 Hours
-
🌟Projects: 5-7
Course Certificates
Career Services By emergingindiagroup
Placement Assistance
Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)
Exclusive access
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Mock Interview Preparation
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
1 on 1 Career Mentoring Sessions
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Career Oriented Sessions
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Resume & LinkedIn Profile Building
Get assistance in creating a world-class resume & LinkedIn Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Real World Projects
Projects will be a part of your Advance Post Graduate Certification Data Science & Artificial Intelligence to solidify your learning. They ensure you have real-world experience in Data Science and AI.
- Practice 20+ Essential Tools
- Designed by Industry Experts
- Get Real-world Experience
Real State Analytics
Real Estate Analytics will involve supervised learning with an ensemble of various regression algorithms where we will optimize the predictions based on the error rate.
Solar Power Efficiency
The project will encompass three target variables that we will predict using the supervised machine learning algorithms for regression problems and minimize the error by tuning the hyperparameters.
Recommendation Engine
In the Recommendation Engine project, we will use singular value decomposition to draw out relevant recommendations for music and movie selections based on the historical data points.
Stock Price Prediction
Forecasting a stock price based on time series analysis and forecasting using ARIMA, Seasonal ARIMA and other deep learning techniques to forecast stock prices based on historical data points.
Weather Forecasting
Ensemble of supervised machine learning algorithms to predict and forecast the weather based on historical data points, and optimization of the model to reduce the error in predictions using hyperparameter tuning and other data modeling techniques.
Image Classification
The project involves processing image data that is fed to the convolutional neural networks which then efficiently predicts the species of the input that is provided during the predictions.
Gesture Recognition
In this computer vision project, we will extract frames in real time and feed it to an already trained neural network that will correctly classify the gesture that is most relevant to the specified frame in real time.
American Sign Language Recognition
In this project we will use computer vision and deep learning to feed real time frames that will correctly predict the ASL references to the signs made in the video and generate the audio for the same as well.
Sentiment Analysis
Classic NLP problem encompasses processing textual data and then feeding the information to the deep learning model which then processes and predicts the sentiment associated with the text in both supervised and unsupervised learning settings.
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Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1week.
Program Fees
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Zero Cost EMI options Available
from RBI Approved NBFCs
Starting from ₹2,999*
Others Payment Options
We provide the following options for one-time payment.
Internet Banking
Credit / Debit Card
Total Admission Fees
₹1,99,999*(Excluding GST)
Data Science and Artificial Intelligence Course Delivery Plan
Our Post Graduate Program in Data Science and Artificial Intelligence (AI) boasts a meticulously designed structure to ensure a comprehensive and immersive learning experience. Here’s a breakdown of the program:
Pre-Program Foundation (70 Hours): Hit the ground running with a solid foundation. Before the program commences, you’ll receive access to a series of online video tutorials. These modules cover data science fundamentals, AI concepts, data visualization tools, and data structures – providing you with a launchpad for success.
In-Depth Learning (360 Hours): This intensive phase is where the magic happens. Delve into hands-on experience with industry-standard tools and technologies. You’ll master advanced Excel, SQL, R and Python programming, statistics, machine learning, AI, big data, data visualization tools like Tableau and Power BI, databases like MongoDB, object detection with YOLOv5, natural language processing, and even reinforcement learning.
Project-Based Mastery (560 Hours): Learning extends beyond the classroom. This extended phase focuses on practical application of your acquired knowledge. Tackle real-world projects, hone your skills through assignments and tests, and participate in doubt-clearing sessions offered by our expert instructors. You’ll culminate your program by undertaking a capstone project, allowing you to showcase your expertise and build a strong portfolio to impress potential employers.
Emerging India Analytics’ Post Graduate Program in Artificial Intelligence and Data Science provides a structured learning journey designed to equip you with the skills and knowledge to thrive in this exciting field. Enroll today and embark on your path to a successful data science career!
Why Choose Us?
Emerging India Analytics, an official Nasscom training, staffing, and consulting partner, offers comprehensive online data science masters designed to equip you with the essential skills and knowledge to thrive in this dynamic field.Here’s what sets us apart:
Industry-aligned Curriculum: Our curriculum of advanced data science certificate program is meticulously crafted in collaboration with NASSCOM, the leading voice of the Indian IT industry. This ensures you learn the most relevant tools and techniques used by top companies today.
Expert Faculty: Gain insights from seasoned professionals with extensive industry experience. Our instructors are passionate about data science and dedicated to your success.
Hands-on Learning: We believe in practical learning. Our programs go beyond theory, offering real-world case studies and projects that allow you to apply your knowledge and build a strong portfolio.
Placement Assistance: We understand the importance of landing your dream job. We provide dedicated placement assistance to help you connect with leading companies in the data science and AI space.
By choosing Emerging India Analytics, you’ll gain the skills and knowledge to:
Uncover Hidden Insights: Master the art of extracting valuable knowledge from vast datasets, driving innovation across industries.
Build Intelligent Systems: Develop your expertise in AI techniques like machine learning and deep learning, enabling you to create intelligent solutions that automate tasks and solve complex problems.
Become a Data-driven Leader: Gain the ability to translate data into actionable insights, empowering businesses to make informed decisions.
Join the data science revolution and unlock exciting career opportunities. Choose Emerging India Analytics – your path to a successful future in AI and Data Science.
By choosing Emerging India Analytics, you’ll gain the skills and knowledge to:
Program Objectives
Our advanced certificate in data science with Ai is designed to be the best master’s program available, meticulously crafted to propel you towards a successful career in this booming field. Our program focuses on these key objectives:
Master the Fundamentals: Gain a solid foundation in core data science concepts like statistics, probability, and machine learning algorithms. Learn the essential tools you’ll need to wrangle, clean, and analyze massive datasets.
Become an AI Expert: Dive deep into Artificial Intelligence (AI) techniques like deep learning and natural language processing. Build your expertise in creating intelligent systems that automate tasks, solve complex problems, and generate valuable insights.
Bridge the Business Gap: Learn to translate data into actionable insights that can inform business decisions and drive strategic growth. Develop your communication skills to effectively present findings to non-technical stakeholders.
Industry-Ready Skills: Our curriculum is constantly evolving, aligned with the latest trends and technologies used by leading companies in the data science space. You’ll graduate with the in-demand skills needed to hit the ground running in your dream job.
Real-World Experience: We believe in practical learning. Our program goes beyond theory, offering you opportunities to tackle real-world case studies and projects. Build a strong portfolio showcasing your abilities to potential employers.
Emerging India Analytics’ best data science masters programs equips you with the comprehensive knowledge and practical skills to become a data science leader. Join us and unlock your full potential in this exciting and transformative field.
Who Should Apply?
Are you passionate about using data to solve complex problems and drive innovation? Do you have a strong analytical mind and a desire to learn cutting-edge technologies? If so, then our Data Science Masters Programs with Artificial Intelligence might be the perfect fit for you!
This program is ideal for:
If you’re ready to unlock the power of data and become a leader in the field of artificial intelligence, we encourage you to apply!
Why the NASSCOM-led Data Science and Artificial Intelligence Course Stands Out?
Not all postgraduate programs in data science and artificial intelligence are created equal. Here’s what sets our NASSCOM-aligned program apart:
Industry-Driven Curriculum: Developed in collaboration with NASSCOM, a leading voice of the Indian IT industry, our curriculum ensures you learn the most relevant tools and techniques used by top companies today.
Expert NASSCOM Trainers: Gain insights from seasoned professionals with extensive industry experience and strong ties to NASSCOM. Our instructors are passionate about data science and AI, and dedicated to your success.
Unparalleled Recognition: A NASSCOM affiliation signifies a program that meets rigorous quality standards. This recognition grants your postgraduate program in data science and artificial intelligence a mark of excellence, valued by employers across the globe.
Join our NASSCOM-aligned program and gain the knowledge, skills, and industry recognition to become a sought-after data science and AI professional.
Salary Package of Data Scientist and Artificial Intelligence Professionals
The booming demand for data science expertise translates to impressive salary packages. Studies show the average annual salary for data scientists in India falls between ₹7 lakhs and ₹14 lakhs. However, this figure soars with experience and specialization. Top data scientists with advanced skills and proven success can command salaries exceeding ₹20 lakhs annually.
This earning potential makes a well-designed data science masters program a strategic investment. Programs like those offered by Emerging India Analytics equip you with the knowledge and skills to not only kickstart your data science career but also thrive in this lucrative field.
Our NASSCOM-aligned curriculum ensures you master the latest tools and techniques used by top companies. Our expert instructors, passionate about data science and your success, guide you through practical applications. You’ll graduate with the confidence and skills to secure high-paying data science positions.
Don’t miss out! Invest in your future with a top-tier data science masters program. Embrace the exciting world of data science and its rewarding career path.
What are the Career Growth Opportunities Post-Course Completion?
Wondering what exciting career paths await you after completing our Post-Graduate Program in Data Science and Artificial Intelligence (AI)? The data science field is experiencing explosive growth, leading to a surge in demand for skilled professionals. Our program equips you to capitalize on this opportunity and launch a rewarding career.
Here’s a glimpse into the potential career paths you can unlock:
Data Scientist: Analyze vast amounts of data to uncover hidden insights, solve complex problems, and drive informed decision-making across industries.
Machine Learning Engineer: Design and build intelligent systems that automate tasks, learn from data, and make predictions using machine learning algorithms.
Data Analyst: Translate data into clear and actionable insights, fostering communication between technical and non-technical stakeholders.
AI Engineer: Develop and implement cutting-edge AI solutions across various domains, from healthcare and finance to robotics and self-driving cars.
Beyond these core roles, the possibilities are vast. Graduates might also pursue careers in Business Intelligence, Data Visualization, Research & Development, and more.
Our program equips you with the skills and knowledge to not only secure your first data science role but also to position yourself for ongoing career growth. Through a robust curriculum, industry-aligned instruction, and a focus on practical application, you’ll graduate prepared to make a significant impact in the ever-evolving field of data science and AI.
Leading Companies Recruit Data Science Specialists
The booming field of data science offers a multitude of exciting career opportunities, with leading companies across industries actively seeking skilled professionals. A well-designed data science masters program with artificial intelligence equips you with the expertise to not only launch your data science career but also become a highly sought-after talent by top recruiters.
Here’s a glimpse into some of the leading companies actively seeking data science expertise:
Tech Giants: Google, Microsoft, Amazon, Facebook, Apple, and Netflix leverage data science to power their innovative products and services. These companies rely heavily on data scientists to extract valuable insights, develop intelligent systems, and drive data-driven decision-making.
Financial Services: Banks like JP Morgan Chase, Goldman Sachs, and Citigroup are increasingly utilizing data science to optimize risk management, fraud detection, and personalized financial products. They actively recruit data scientists to build sophisticated data-driven models.
Healthcare: Leading healthcare institutions leverage data science for medical research, drug discovery, and personalized patient care. The demand for data scientists in healthcare is rapidly growing, offering exciting opportunities to contribute to advancements in this critical field.
Retail and E-commerce: Companies like Amazon, Alibaba, and Walmart rely on data science to personalize customer experiences, optimize product recommendations, and streamline supply chains. Data scientists play a crucial role in driving revenue growth and customer satisfaction in this dynamic sector.
This list is just a starting point. Data science expertise is increasingly valued across a wide range of industries, including manufacturing, media and entertainment, and government agencies. With a strong foundation in data science gained through a program like ours, you’ll be well-positioned to land your dream job and contribute to innovation at a leading company.
Roles and Responsibilities in the Data Science Field
The data science field offers a multitude of exciting roles, each with unique responsibilities. A well-designed Post Graduate Program in Data Science and Artificial Intelligence (AI) equips you with the skills and knowledge to not only excel in these roles but also tailor your career path based on your interests.
Here’s an overview of some core data science responsibilities:
Data Collection and Wrangling: Gather data from various sources, clean and organize it for analysis, ensuring its accuracy and completeness.
Data Analysis and Visualization: Analyze large datasets using statistical methods and machine learning algorithms, uncovering hidden patterns and trends. Present these insights through compelling visualizations for clear communication.
Model Building and Evaluation: Develop and implement machine learning models to solve specific business problems. Evaluate the performance of these models and refine them for optimal results.
Communication and Collaboration: Effectively translate complex data insights into actionable recommendations for non-technical stakeholders. Collaborate with various teams like engineers and product managers to integrate data-driven solutions.
Beyond these core responsibilities, data science roles can specialize in different areas:
Data Scientist: A generalist who tackles a wide range of data science projects, applying their expertise across various tasks.
Machine Learning Engineer: Focuses on designing, building, and deploying machine learning models to solve specific problems.
Data Analyst: Explores and analyzes data to answer specific questions and provide insights, often focusing on business intelligence and reporting.
Business Intelligence Analyst: Bridges the gap between data and business decisions, translating insights into actionable recommendations.
Our Post Graduate Program in Data Science and Artificial Intelligence provides a comprehensive curriculum that prepares you for these diverse roles and responsibilities. You’ll gain the necessary skills and knowledge to not only launch your data science career but also thrive in this dynamic and ever-evolving field.
Top FAQ
While a strong foundation in math, statistics, and computer science is beneficial, our program is designed to be accessible to individuals with a bachelor’s degree in any quantitative field. We recommend reviewing our program brochure for a detailed list of prerequisites.
This program is suitable for both beginners and those with some experience in data science. We offer a comprehensive curriculum that starts with fundamental concepts and progresses to advanced topics in data science and artificial intelligence. No matter your experience level, you’ll gain the necessary skills and knowledge to excel in this field.
Our advanced certificate program in data science covers a wide range of data science and AI concepts, including:
- Statistics and Probability
- Machine Learning Algorithms (Supervised & Unsupervised Learning)
- Data Wrangling and Cleaning
- Data Visualization Techniques
- Deep Learning and Neural Networks
- Natural Language Processing
- Big Data Processing with tools like Hadoop and Spark
We believe in a learning-by-doing approach. Our program incorporates a significant amount of hands-on experience through real-world case studies, projects, and assignments. You’ll work with industry-standard tools and technologies, allowing you to apply your learnings to practical scenarios.
Throughout the program, you’ll undertake a variety of projects designed to challenge your skills and develop your problem-solving abilities. These projects may involve tasks like building a machine learning model to predict customer churn, analyzing social media data to understand customer sentiment, or developing a data visualization dashboard to communicate insights to stakeholders.
Graduates of our advanced certificate program in data science are well-positioned to pursue a variety of exciting career paths in the data science field. Some potential job titles include:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- AI Engineer
- Data Visualization Specialist
Yes, we are committed to your success beyond graduation. We offer dedicated career placement assistance to help you connect with leading companies in the data science and AI space. Our team will provide guidance on resume writing, interview preparation, and job search strategies.
Yes, we understand that some students may have scheduling constraints. We offer a flexible enrollment option that allows you to complete the program at your own pace.
We encourage you to visit our program website or contact our admissions office for the latest information on tuition fees. We also offer various scholarship opportunities to help make our program more accessible.
While our advanced certificate program in data science is comprehensive and rigorous, it is not a substitute for a full master’s degree. However, it provides a strong foundation and practical skills to launch a successful data science career.
Absolutely! Our advanced certificate program in data science is designed for individuals with diverse academic backgrounds who are looking to transition into the data science field. The program equips you with the necessary skills and knowledge to bridge the gap between your existing knowledge and the demands of the data science industry.