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immersive learning
350 Hours
NASSCOM DATA SCIENCE PROGRAM
Data Science blends tools and technologies to understand business dynamics, customer behavior, and patterns, solving complex problems hidden in vast datasets. Our program integrates statistical methods, programming, advanced machine learning, and deep learning techniques. This course provides a holistic view of data science, empowering you to analyze and visualize data for effective, data-driven decision-making in any industr
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Introduction
350 HOURS-NASSCOM DATA SCIENCE PROGRAM
Our 350-hour NASSCOM Certified Data Science program course encompasses a wide array of topics. This comprehensive curriculum ensures that participants gain in-depth knowledge and hands-on experience across various domains within the field of data science. The program covers Machine Learning (ML) algorithms, Deep Learning (DL) architectures, and essential statistical methods, equipping participants with skills in predictive modeling, neural networks, and data analysis. By offering a holistic understanding of data science, the course prepares participants to tackle complex challenges and excel in their careers.
Tools
Meet Your Mentors
Program Structure
- 40 hour Pre-Learning: Before you embark on the live academic session, get ready for the Program. You will get a series of online recorded tutorials to understand the structure of Data Science to know about the fundamentals which would enrich your future learning experience..
- 110 hours Program: Here, you will get execution-based learning experience on Advance Excel, SQL, R Programming, Python, Statistics, Machine Learning, Deep Learning, Tableau.
- 110 hours Post Program:Learning does not stop here. After completing the modular training, you will work on Domain-specific Project, Assignments. Doubt clearing is also provided. You will be working on different capstone projects from a huge repository of data sets.
- 80 Hours of Electives:Grab an opportunity to add the advanced knowledge on data science, non-relational data bases, business intelligence tool, natural language processing, object detection to the existing pool of knowledge by opting the electives. Here you will be working on advance concepts of statistics, machine learning algorithms, SQL and business intelligence tools like Tableau.
lEARN WITH A WORLD CLASS CURRICULUM
Module 1. Data Science with Advanced Excel, Python, Statistics, Machine Learning, Deep Learning and R-Programming
- Lecture 2: Microsoft Excel Overview, Formatting Excel, Shortcuts and Basic Formulas
- Lecture 3: Sorting Data, Filtering Data, Charts, Column Chart, Pie Chart .
- Lecture 4: Pivot Tables, Lookup Function, Vlookup, Hlookup, Match Function .
- Lecture 5: VBA, Macros, Dashboards, Interview Questions.
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hour
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📝Assessment: 1
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🌟Assignment: 1
- Lecture 6: Introduction to Python, Why Python, Variables, Operators, Strings, Indexing .
- Lecture 7: Block Structure, Data Structures, Functions, Creating Function, Calling a function, Function Parameter.
- Lecture 8: Lambda Function, *args, **kwargs, Conditional Statement, Loops and it’s Control Statement.
- Lecture 9: Class, Creation, __init__(), Inheritance, Polymorphism .
- Lecture 10: Libraries and Packages (Numpy, Pandas) .
- Lecture 11: Libraries and Packages (Matplotlib, Seaborn).
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📚No. of Lectures: 6
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⏳Duration of Lecture: 18 Hours
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📝Assessment: 1
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🌟Assignment: 1
- Lecture 12: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation, .
- Lecture 13: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability .
- Lecture 14: Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution, Normal Distribution.
- Lecture 15: Type I & Type II Error, T-test, Z-test, Hypothesis Testing Interview Questions
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Assessment: 1
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🌟Assignment: 1
- Lecture 16: Introduction to ML, Types of variables, Encoding, Normalization, Standardization, Types of ML, Linear Regression.
- Lecture 17:Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Decision Tree, Random Forest.
- Lecture 18: Mean Absolute Error, Mean and Root Mean Square Error, Confusion Matrix, R2 Score, Adjusted R2 Score,F1 Score.
- Lecture 19: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost.
- Lecture 20: Unsupervised Machine Learning, PCA, Clustering, k-Means Clustering and Hierarchical clustering.
- Lecture 21: Introduction to Neural Network, Foreward Propagation, Activation Function .
- Lecture 22: Activation Function(Linear, Sigmoid, Relu, Leaky Relu), Optimizers, Gradient Descent, Stochastics Gradient Descent.
- Lecture 23: Mini batch Gradient Descent, Adagrad, Padding, Pooling, Convolution .
- Lecture 24: Checkpoints and Neural Networks Implementation and Introduction to Time Series Analysis.
- Lecture 25: Various components of the TSA, Decomposition Method(Additive and Multiplicative) ARIMA,.
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📚No. of Lectures: 10
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⏳Duration of Lecture: 30 Hours
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📝Assessment: 1
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🌟Assignment: 1
- Lecture 26: What is R Programming, Variables and Data Type in R .
- Lecture 27: Logical Operators,Vectors,List,Matrix,Data Frame,Flow Control, Functions in R.
- Lecture 28: Data Manipulation in R- dplyr, Data Manipulation in R- tidyr .
- Lecture 29: Data Visualization In R .
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hours
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📝Assessment: 1
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🌟Assignment: 1
- Lecture 30: Doubts and Project Discussion.
- 📚No. of Lectures: 1
- ⏳Duration of Lecture: 1 Hour
- 📝Assessment: 1
- 🌟Assignment: 1
Module 2. Business Intelligence Using SQL, and Tableau
- Lecture 31: Basic of Database, Types of Database, Data Types, SQL Operators, Expression (Boolean, Date, Numeric), Create, Insert.
- Lecture 32: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like Clause.
- Lecture 33: Constraint, Aggregation Function,Group by, Order by , Having.
- Lecture 34: Joins, Case, Complex Queries, Doubt Clearing .
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📚No. of Lectures: 4
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⏳Duration of Lecture: 12 Hour
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📝Assessment: 1
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🌟Assignment: 1
- Lecture 35: Tableau Desktop, Tableau products.
- Lecture 36: Data import, Measures, Filters.
- Lecture 37: Data transformation, Marks, Dual Axis.
- Lecture 38: Manage worksheets, Data visualization, Dashboarding,Project.
- 📚No. of Lectures: 4
- ⏳Duration of Lecture: 12 Hour
- 📝Assessment: 1
- 🌟Assignment: 1
- Lecture 44: Doubts and Project Discussion.
- 📚No. of Lectures: 1
- ⏳Duration of Lecture: 1 Hour
- 📝Assessment: 1
- 🌟Assignment: 1
SKILLS YOU WILL POSSESS
✔️ Data Manipulation
✔️ Data Wrangling
✔️ Data Cleaning
✔️ Data Visualization
✔️ Data Analysis
✔️ Descriptive Analytics
✔️ Machine learning Modelling
✔️ Predictive Analytics
✔️ Text Processing
✔️ Image Processing
PROGRAM BENEFITS
✔️ Cutting Edge Curriculum: Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.
✔️ On the Go Learning: Online accessible E-learning Material, recorded lectures, case studies and Research Paper through our system.
✔️ Build Solid Foundation: 110 hours focused course on Data Science.
✔️ Industry Mentorship: Get 1 to 1 guidance from Industry experts and start your career in Data Science.
✔️ Earn a Government of India approved & globally recognized certificate by NASSCOM IT- ITes SSC by clearing NASSCOM assessment examination.
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 Our 350 Hours NASSCOM Certified Data Science Certification Program to solidify your learning. They ensure you have real-world experience in Development and Operations.
- Practice 25+ Essential Tools
- Designed by Industry Experts
- Get Real-world Experience
Our Alumni Works At
Learners thought about us
As a non-IT background student, I am very much satisfied with the live sessions/classes conducted by Emerging India Analytics. Special thanks to the instructor/trainer, the way he is teaching, from the basic fundamentals, that a student having zero knowledge in IT/CS & coding, can easily understand the subjects/topics. Also special thanks to the technical support team for their guidance & help.
Classes are progressing smoothly, doubts are consistently addressed, fostering a clear understanding. Positive atmosphere, engaged learning, and effective communication contribute to a successful academic experience.
Coming from non- IT background was initially worrisome but I took the bold step into this course.
The tutors have been fantastic as well as the personal support team. Looking back at the journey so far ,I will say it's worth the all-round commitment and I recommend this program without reservation.
It was a great experience with Emerging India Analytics. The course format and content was very good. The faculty, Ms Lakshmi is very knowledgeable. She know the subject very well and the way she conducted the sessions was very much satisfactory. Thank you so much for your services and wish you all the best. God Bless.
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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
Our Loan Partners
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
₹70,799*(Including GST)
USD $1030
faQS
The program spans 350 hours of immersive learning, covering a wide range of topics in data science.
The course includes Machine Learning, Deep Learning, Advanced Excel, Python, Statistics, Machine Learning, Deep Learning, R-Programming, SQL, Tableau.
No prior knowledge is required. The course is designed for both beginners and professionals, and it starts with foundational topics before moving on to more advanced subjects.
Classes are conducted through live sessions by experienced instructors. Recorded sessions are also available for later review.
Yes, the course includes real-world projects to ensure practical learning. These projects help solidify your understanding and give you hands-on experience.
Yes, upon successful completion of the course, you will receive a NASSCOM certification, which is highly recognized in the industry.
You will have access to doubt sessions, project classes, and a dedicated support team to help with any queries or issues you might encounter during the course.
We offer zero-cost EMI options from RBI-approved NBFCs starting from ₹5,999. Other options include internet banking, debit cards, and credit/debit cards.
Yes, you can request a demo class to get a feel of the course structure and teaching methodology before making a commitment.
Data Science and AI are rapidly growing fields with a high demand for skilled professionals. This course equips you with the knowledge and skills needed to excel in various roles such as data scientist, AI specialist, machine learning engineer, and more.
All live classes are recorded and made available to you, so you can catch up on any sessions you miss at your convenience.
Yes, the course includes interactive live sessions where you can ask questions and participate in discussions. There are also community forums and group projects for collaborative learning.