Data Science Certification Program
Launch your professional career as a data scientist/analyst with our comprehensive Data Scientist Training Program. Benefit from our cutting-edge NASSCOM-certified curriculum, expert instructors, real-world projects, and personalized career support.
Our Association & Knowledge Partners
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7,500+Students Empowered
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ClassroomFormat
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08 monthsRecommended 12-15 hrs/week
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09 Dec 2023Start Date
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440+Course Duration
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EMI OptionsStarts at INR. 5777/month
Course Created & Designed By
DATA SCIENCE CERTIFICATION PROGRAM OVERVIEW
We offer the best Data Science certification program with NASSCOM certification (based on assessment). This gives an end-to-end understanding of data science covering data analytics, Machine Learning, Visualization, Data Preprocessing, Deep Learning, Big Data Analytics, and much more.
The Official NASSCOM program, an advanced certificate program in data science, will help you master skills and tools like Clustering, Regression techniques, Decision Trees, R Studio, R Programming, Python, Ensemble Learning, SQL, Data Visualization Tools like Tableau, Data Modeling, Statistical Functions, Hypothesis Testing, Machine Learning, Deep Learning Algorithms, Natural Language Processing, Computer Vision, and Reinforcement Learning. These tools utilize predictive analytics to solve real-time decision-making problems. The program provides access to high-quality content and other resources, putting you on the right path to becoming a Data Analyst and eventually a successful Data Scientist.
440+ Hours Program:
- Pre-Learning Material (50 Hours of Self-paced video-based Learning)
- Classroom (137 Hours of training over 6 months)
- Post-Training (Doubt Clearing Session & Capstone Project discussion-16 Hours + 137 Hours of Video Recorded Class, 100 Hours of Capstone Project provided to Candidates)
Pre-Learning Material:
- Introduction to Advanced Excel
- Introduction to Statistics
- Data exploration using Python
- Introduction to Machine Learning
- Data Visualization
- Introduction to Tableau
- Introduction to SQL
- Introduction to Computer Vision
- Introduction to Natural Language Processing
- Introduction to Reinforcement Learning
Programming Languages and Tools Covered
DATA SCIENCE CLASSROOM CURRICULUM
Advanced Excel
Excel formatting
Formulas
Data Sorting
Filtering
Charts
Vlookup
VBA
Assessments:- Assignment of Excel
Python
Python Basic
Variable
Set
Array
Tuple
Dictionary
List
Integer
String
Boolean
Conditional Statement
Control
Statement
Class
Library
Modules
Numpy
Pandas
Matplotlib
Seaborn
Assessments:- Assignment of Python
R Programming
Variables
Logical Operator
Vector, Matrix, Array, List, DataFrame, Flow control
Data manipulation
File Handling (upload, download),
connecting with database
Functions (Custom/user defined)
Visualization with ggplot2
Apply Family, Graphs with R
Assessments:- Assignment of R
Statistics
SciPy
Mean, Median, Mode,
AM, GM, HM,
Quartile, Percentile, Decile, Box plot, range, MD, SD, Variance
Covariance, Correlation, skewness, kurtosis
Hypothesis Testing
T-test, Z-test, F-test
Probability distribution
Assessments:- Assessment of Statistics
Machine Learning
Introduction
Scikit Learn
Types of machine learning
Linear Regression
Logistic Regression
Support Vector Machine
Kernels
Decision Tree
Entropy
Gini index
Naïve Bayes
Random Forest
Ensemble Learning
Bias- Variance
Hyperparameter Tuning
Cross Validation
PCA
K-means clustering
Assessments:- Assessment of Machine Learning
Deep Learning
Introduction to neural network
Forward propagation
Backpropagation
Fully connected neural network
Perceptron
Weight
Bias
Activation Functions
Gradient
Global Minima
Optimizers
Checkpoints
Time Series Analysis
Assessments:- Assessment of Deep Learning
SQL
basic of database, types of data base, data types,
sql operators, expression
(boolean, date, numeric),
create, insert
drop, truncate, delete
alter, update, select, range operater,
in, wildcard, like clause
sql constraint, aggregation function,
group by, order by
having
sql joins, case,
complex queries
Assessments:-Assessment of SQL
Tableau
Tableau drill down,
Hierarchies,
Measures,
Dimensions,
Sorting,
Grouping,
Parameter
Sets,
Combine
Tableau data blending
Filter, marks card
Dual axis,
Calculated field
Tableau visualization
Canvas formatting
Dashboard creation
Assessments:-Assessment of Tableau
Natural Language Processing
Introduction to Natural Language Processing
Components of Natural language processing
Introduction to text mining
Introduction to NLTK, Gensim
Tokenization,
Stemming,
Bag of words
Dictionary
Sentiment Analysis
Name- Entity ecognition
Tfidf
Assessments:- Assessment of NLP
Computer Vision
Introduction to Image Processing,
OpenCV
Feature Detection,
Convolution
Padding, Pooling & its Mechanisms
Forward Propagation & backward Propagation for CNN
Activation Function
Optimizers
CNN Architectures like AlexNet, VGGNet, InseptionNet, ResNet,
Transfer Learning
Assessments:- Reinforced Learning
Reinforced Learning
RL Framework,
Component of RL Framework,
Examples of Systems
Types of RL Systems,
Q-Learning
Assessments:- Assessment of Reinforced Learning
PROJECT & TRAINING FOR DATA SCIENCE CERTIFICATION PROGRAM
Enroll in our comprehensive program, recognized as the best data science certificate course, where real-life industry-standard live projects are meticulously designed to prepare you for a diverse array of analytics challenges within the dynamic field of data science. Throughout this data science certification program, you will have the opportunity to engage with a curated list of projects spanning various sectors. These hands-on projects ensure that you not only grasp theoretical concepts but also gain practical experience, enhancing your skills and making you well-equipped for the demands of the ever-evolving data science landscape.
- Predictive Analysis: Use the skill of Machine Learning and Python to build a successful model to help predict the outcome of a problem statement.
- Text Analysis: Built model to parse the text and extract facts from text with the help of various Natural Language Processing libraries and Python.
- Image Data Analysis: Use various deep learning concepts to extract the hidden or visible pattern inside an image for analysis and model building.
- Dashboard Making: With the help of Tableau create an interactive dashboard and gain knowledge of storytelling and data visualization.
USP OF DATA SCIENCE CLASSROOM PROGRAM
Pre-Learning Material (50 Hours) |137 Hours of Classroom Training| 137 Hours of Recording of Live Class|16 Hours of Doubt clearing and Project Discussion Session| 100 Hours of Capstone Project Involvement| over 8 months
Learn 35+ in demand Skills and tools
Course Curriculum designed & Created by NASSCOM & 35+ top Notch companies
Earn a Government of India and globally recognized certificate by NASSCOM IT-ITeS SSC.
Get Hands-on experience on more than 25 industrial project Capstone Project (Choose at least 1)
Case Studies, Quizzes, Assignment & Assessment
NASSCOM SSC Official Study Materials, E learning materials, and dedicated LMS access. Get access to the recordings of the live classes for life time.
Assessment & Certification from NASSCOM IT-ITeS
Interview Preparation, Resume Building, 100% job placement assistance
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Top Skills You Will LearnIn our data science certification program, you will acquire essential skills such as Data Wrangling, Data Cleaning, Data Visualization, Predictive Analysis, Machine Learning, and Deep Learning. Additionally, the curriculum covers advanced topics like Text Analysis using Natural Language Processing, Image Processing using Computer Vision, and the preparation of Interactive Dashboards.
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Job OpportunitiesUpon successful completion of the NASSCOM certification program in data science, you'll be well-positioned to explore various job opportunities in the fields of Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist, AI Engineer, and Computer Vision Engineer.
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Who Is This Program For?This offline data science course is designed for a broad audience, including graduates from any field, as well as working professionals such as engineers, marketing and sales professionals, freshers, domain experts, and software and IT professionals.
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Minimum EligibilityThe NASSCOM data science certification program requires only a graduation qualification in any field, and there is no prior coding experience required.
SALARY REPORT
India's 1st Nasscom Data Science Certification Program
- India's 1st Data Scientist Training Program validated & recommended by NASSCOM aligned to government-approved standards
- Only Certification Program ensuring that makes you Job ready for the industry from Day 1
Skill is the most valued currency of the 21st century.
- Complete the program and grab the certificate of training to showcase your skillset, competency, commitment and expertise in the professional course. This will help you to get the dream job.
Testimonials
Students Placed In
Instructors
Learn from India’s leading Data Science faculty and industry leaders
Mr Arihant is a Senior Data Scientist with 11+ years of work experience with expertise in Machine Learning, Deep Learning, NLP ( AI) & Time Series using both Python & R Programming languages. He has served reputed Organizations like CITI Bank, Bank of America, NIIT Technologies & Many More. Moreover, Mr Arihant has spent 5+ years as a corporate trainer in the domain of Data science and has been a trainer with reputed MNCs like HCL Technologies, C-DAC, etc. He has also delivered *batches on AI & ML for the students of IITs and MIT(USA)*.
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.