Data Science Training Programs

Industry-aligned NASSCOM certified Data Science training to accelerate your career in the rapidly evolving field of analytics and AI.

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Our Data Science Training Programs

Our NASSCOM certified Data Science training programs are designed to equip you with the skills needed to excel in the data-driven world. From statistical analysis to machine learning, deep learning and artificial intelligence, learn industry best practices with hands-on projects and real-world scenarios.

NASSCOM Certified

Comprehensive Data Analytics Program

Fundamentals of Statistics and Data Analysis

Python Programming for Data Science

Machine Learning Algorithms

6 Industry-relevant Projects with Certification

Career Accelerator

Nasscom Ad DS Program with AI & ML

Advanced Statistical Modeling Techniques

Deep Learning Fundamentals

Natural Language Processing (NLP)

8 Industry-relevant Projects with Certification

AI Integration

Nasscom Program of Mastering DS with AI, & Gen AI

Computer Vision and Image Recognition

Time Series Analysis and Forecasting

Reinforcement Learning

10 Industry-relevant Projects with Certification

Advanced Level

Nasscom Ad DA Program with Big Data

Advanced Deep Learning Architectures

AI Models and Applications

Big Data Analytics with Hadoop and Spark

12 Industry-relevant Projects with Certification

Expert Level

Nasscom Ad DA Program with Gen AI

MLOps and AI Model Deployment

Data Engineering Pipelines

Cloud-based Machine Learning Services

14 Industry-relevant Projects with Certification

Comprehensive

Nasscom Advanced DS and Gen AI Program

End-to-end Data Science and AI Solutions

Data Visualization and Storytelling

Industry-specific AI applications

16 Industry-relevant Projects with Certification

Comprehensive

Nasscom Program for AI-Busines Intelligence Analyst

End-to-end Data Science and AI Solutions

Data Visualization and Storytelling

Industry-Specific AI Applications

16 Industry-relevant Projects with Certification

Tools & Technologies You'll Master

Python

SQL

R

TensorFlow

PyTorch

Tableau

Power BI

Pandas

NumPy

Scikit-learn

Hadoop

Spark

What You'll Learn

Data Analysis

Master the art of extracting meaningful insights from complex datasets using Statistical methods and Visualization Techniques.

Programming for DS

Develop strong programming skills in Python and R to manipulate data, create models, and build Data Science Applications.

Machine Learning

Implement Supervised and Unsupervised Learning Algorithms to solve Classification, Regression, and Clustering Problems.

Deep Learning

Build and deploy Neural Networks for complex tasks such as Image Recognition, Natural Language Processing, and Time Series Forecasting.

Big Data Analytics

Process and analyze large datasets using distributed computing frameworks like Hadoop and Spark.

Data Visualization

Create compelling Data Visualizations using tools like Tableau, Power BI, and Programming libraries to communicate insights effectively.

Career Prospects in Data Science

Data Scientist

Develop Algorithms and models to solve complex business problems and provide actionable insights from data.

Avg. Salary: ₹8-20 LPA

Data Analyst

Collect, Process, and perform Statistical Analyses on large datasets to help organizations make better decisions.

Avg. Salary: ₹5-12 LPA

Data Engineer

Design, build, and maintain data pipelines, storage systems, and infrastructure to support Data Science activities.

Avg. Salary: ₹7-18 LPA

ML Engineer

Develop and deploy Machine Learning models at scale, focusing on Model optimization and production readiness.

Avg. Salary: ₹10-25 LPA

AI Specialist

Research and implement Artificial Intelligence Techniques to solve specific Business challenges and create innovative Applications.

Avg. Salary: ₹12-30 LPA

Business Intelligence Analyst

Transform data into actionable business insights and create dashboards to help executives make data-driven decisions.

Avg. Salary: ₹6-15 LPA

Curriculum Highlights

Python Programming for Data Science

Python syntax and Data Structures

Control flow and Functions

NumPy for Numerical Computing

Pandas for Data Manipulation

Data Visualization with Matplotlib and Seaborn

Statistics for Data Science

Descriptive Statistics

Probability Distributions

Statistical Inference

Hypothesis Testing

Correlation and Regression Analysis

SQL for Data Analysis

SQL Fundamentals

Querying and Filtering Data

Joins and Relationship Modeling

Aggregation and Window Functions

Database Design Principles

Machine Learning Fundamentals

Supervised vs Unsupervised learning

Classification Algorithms

Regression Algorithms

Clustering and Dimensionality Reduction

Model Evaluation and Validation Techniques

Feature Engineering

Data Cleaning and Preprocessing

Feature Selection and Extraction

Feature Scaling and Normalization

Handling Missing Data

Categorical Variable Encoding

Data Visualization and Storytelling

Principles of Data Visualization

Creating Interactive Dashboards with Tableau

Business Intelligence with Power BI

Data Storytelling Techniques

Presenting Insights to Stakeholders

Deep Learning and Neural Networks

Neural Network Architectures

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Transformer Models

Implementing Models with TensorFlow and PyTorch

Natural Language Processing

Text Preprocessing Techniques

Word Embeddings and Language Models

Sentiment Analysis and Text Classification

Topic Modeling

Implementing NLP Applications

Big Data Analytics

Distributed Computing Concepts

Hadoop Ecosystem

Processing Big Data with Spark

NoSQL Databases

Scalable Machine Learning Pipelines

What Our Students Say

The NASSCOM certified Data Science program at Emerging India Analytics completely transformed my career. The curriculum was comprehensive and the hands-on projects gave me practical experience that employers value. Within a month of completing the program, I landed a job as a Data Scientist at a leading fintech company.

Rahul Sharma

Data Scientist, Paytm

As someone from a non-technical background, I was apprehensive about pursuing a career in Data Science. The 440-hour program at EIA was perfectly structured for beginners like me. The faculty provided excellent support, and the placement assistance helped me secure a role in analytics. Best investment I've ever made!

Priya Patel

Data Analyst, Accenture

The 700-hour Full Stack Data Science program was intense but incredibly rewarding. The curriculum covered everything from fundamentals to advanced topics like deep learning and MLOps. The industry projects were challenging and closely mirrored real-world scenarios. I now work as an ML Engineer at Amazon, all thanks to EIA.

Vikram Singh

ML Engineer, Amazon

The 520-hour program with AI focus was exactly what I needed to transition from a software developer to an AI engineer. The curriculum is cutting-edge and updated with the latest advancements in the field. The mentors are industry experts who provided invaluable guidance. Highly recommended for anyone serious about a career in AI!

Neha Gupta

AI Engineer, Microsoft

Frequently Asked Questions

What are the prerequisites for these Data Science programs?

Our Data Science programs are designed for individuals from diverse backgrounds. While a basic understanding of mathematics and statistics is helpful, there are no strict prerequisites for the 350-hour program. For advanced programs (500+ hours), familiarity with programming concepts and basic data analysis is recommended. We provide foundational modules to help complete beginners build the necessary skills.

How are the Data Science training programs delivered?

We offer flexible learning options. You can choose between online live interactive sessions, recorded lectures with mentor support, or in-person classes at our centers. All formats include hands-on labs, projects, and mentorship. The online mode provides access to cloud computing resources for practical experience, while offline classes offer face-to-face interaction with instructors.

What is the NASSCOM certification process?

The NASSCOM certification involves continuous assessment through quizzes, assignments, and practical projects. You'll need to maintain a minimum attendance and score to qualify. The final certification requires passing a comprehensive assessment covering theoretical knowledge and practical implementation. This industry-recognized certification validates your Data Science skills according to standards set by NASSCOM.

Will I get placement assistance after completing the program?

Yes, we provide comprehensive placement support including resume building, interview preparation, mock interviews, and connections with our industry partners. Our career services team works with you throughout the program to enhance your employability in the Data Science field. We have a strong track record of placing our graduates in leading companies across various sectors.

What is the difference between the various hour programs?

The primary differences lie in the depth of coverage, tools and technologies taught, and complexity of projects. The 350-hour program covers essentials, while the 700-hour program includes advanced topics like deep learning, MLOps, and enterprise-level AI solutions. The higher-hour programs also include more industry projects, specialized modules, and additional career support services.

Do you offer flexible payment options?

Yes, we offer flexible payment options including EMI plans through our partner financial institutions. We also provide scholarships for deserving candidates based on their academic background and performance in our entrance assessment. Additionally, we offer special discounts for early registrations and group enrollments.

Ready to Start Your Data Science Journey?

Take the first step towards a rewarding career in Data Science and AI. Our NASSCOM certified programs provide the skills, knowledge, and credentials you need to succeed in today's data-driven world.

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