AI-Driven Data Science Course

No prior experience needed! In just 12 months, master AI-powered Data Science skills with 100% practical training, real-world projects, and career support. Become industry-ready and unlock high-paying job opportunities.

Data analytics with BI

5 months Accelerator ** Package: 4-5.5 LACS Job Role: Data Analyst******

Data science and ML

8 months bootcamp ** Package: 5-7 LACS Job Role: ML Engineer******

AI driven data science

12 months mastery program ** Package: 8-10 LACS Job Role: Data Scientist******

• About Us

• Why it Matters

• Course Module

• What You Will Achieve

• Certification

• About Us

• Why it Matters

• Course Module

• What You Will Achieve

• Certification

About Course

Today’s data landscape demands more than just technical skills; it requires practical application, critical thinking, and constant adaptation. NDMIT directly addresses this industry skill gap by preparing you for the real data science world.

We offer job-ready expertise through hands-on projects, simulations, and training with next-generation technologies like generative AI, PySpark, Databricks, and Power BI. Learn from expert faculty in a comprehensive curriculum that builds both technical and essential professional skills, ensuring you’re equipped for immediate impact.

Key Learning Outcomes

******✅ Master essential data science concepts and tools in a data-driven world.

✅ Gain hands-on experience through real-world projects and simulations.

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✅ Develop critical thinking and problem-solving skills for data challenges.

******✅ Learn to deploy and monetize data models effectively.

✅ Become proficient in next-generation technologies like Generative AI.

✅ Cultivate professional and communication skills vital for data roles.

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Course Module

• ****** 18 Big Modules******

• ****** 12 Months******

• Data Storytelling and Visualization

• Business Acumen and Problem Solving

• Communication and Interpersonal Skills

• Career Preparation

• Introduction to Power BI

• Data Connectivity & Transformation

• Data Modeling & Relationships

• DAX (Data Analysis Expressions)

• Building Interactive Dashboards

• Power BI Deployment & Security

• Excel Fundamentals

• Excel Functions

• Data Cleaning & Transformation

• Data Analysis with Excel

• Project Templates

• Introduction to RDBMS

• Entity Relationship (ER) Diagram

• Normalization

• OLTP and OLAP

• Performance Optimization

• Introduction to SQL

• SQL Basics

• Data Aggregation and Grouping

• Joins and Relationships

• Window Functions

• Indexes and Materialized Views

• Project

• Python Fundamentals

• Python Flow Control

• Python Data Types

• Python Functions

• Python Files

• Python Exception Handling

• Python Object and Class

• Python Advanced Topics

• Python Date and Time

• Numpy

• Introduction to Pandas

• Data Handling with Pandas

• Data Transformation with Pandas

• Exploratory data analysis with Pandas

• Matplotlib

• Seaborn

• Project

• Descriptive statistics

• Measures of Central Tendency

• Inferential statistics

• Hypothesis testing

• Probability distributions

• Parametric and Non-parametric Algorithms

• Feature Selection

• Data Imputation

• Linear Regression

• Logistic Regression

• Decision Trees

• Random Forest

• K nearest neighbour (KNN)

• K-means Clustering (Kmeans)

• Model Evaluation Techniques

• Exponential Smoothing

• Holt Winter

• ARIMA and SARIMA

• Prophet

• Concept

• Bagging

• Boosting

• XGBoost

• AdaBoost

• Model Tuning

• GridSearch

• Cross Validation

• AUC ROC Curve

• Customer Segmentation

• Market Basket Analysis

• Demand Forecasting

• Recommendation Models

• Monetizing ML models

• MLOps

• Natural Language Processing (NLP)

• Sentiment Analysis

• RAG Applications

• AI AGents

• Project

• Clusters, Notebooks, Workflows

• Databricks SQL

• Lakehouse Architecture

• Data Governance

• MLflow

• Introduction to PySpark and Big Data

• Working with PySpark dataframes

• Data Processing and Transformation

• PySpark SQL and Query Optimization

• Project

• Need for cloud

• Cloud computing

• Major players

What you will achieve

• ****** Becoming a job-ready data science professional.******
• ****** Mastering data up-to-date and technologies.******
• ****** Gaining confidence in handling real-world data challenges.******
• ****** Developing strong analytical and problem-solving abilities.******
• ****** Acquiring essential professional skills for career growth.******
• ****** Being equipped to secure a successful job in data science.******
• ****** Building an impressive portfolio of practical projects.******

Certification/ Accreditation

Reach Out

• 1-on-1 Career Counseling. • Live Doubt-Clearing Session. • ₹499 Fully “Adjustable in Fees”. • Personalized Roadmap Provided.

• ****** Book Session At:******

₹999.00 ₹499

What Does This Course Have to Offer

• ****** Job-ready data science expertise.******

• ****** Hands-on training with real-world projects.******

• ****** Learning next-gen tools like Generative AI, PySpark, Databricks.******

• ****** Expert faculty providing industry insights.******

• ****** Comprehensive curriculum from basics to advanced AI.******

• ****** Dedicated career counseling and placement support.******

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Need to know more

Ready to dive deeper into the world of Data Science? Our program is meticulously designed to equip you with the practical skills and industry knowledge needed to excel. Discover how our expert-led training, hands-on projects, and cutting-edge curriculum will transform you into a job-ready professional.

Download our brochure to get a comprehensive overview of modules, career opportunities, and how NDMIT prepares you for success in this high-demand field.

Which Program is Best in The Market

At NDMIT, we offer specialized Data Science programs tailored to various career aspirations. Our Data Science with Power BI course is ideal for aspiring Data Analysts and Business Intelligence professionals, focusing on powerful data visualization and reporting. For those aiming to be Machine Learning Engineers or Data Scientists, our Data Science with Machine Learning (ML) program delves into building robust predictive models. Lastly, our AI-Driven Data Science Course is perfect for future-focused professionals eager to specialize in cutting-edge AI applications, including Generative AI.

******Certified Data Analyst

(CDA)******

Fundamentals of Power BI and Business Intelligence.

Data connectivity, transformation, and cleansing workflows.

DAX (Data Analysis Expressions) for advanced calculations.

Creating dynamic and interactive Power BI dashboards.

Deployment, sharing, and security in Power BI.

SQL essentials for data retrieval and management.

Python basics for data handling and exploratory analysis.

Certified Data Scientist - ML Track (CDS-ML)

Professional skills development and SQL foundations.

Python programming with NumPy, Pandas, Matplotlib, and Seaborn.

Statistics for Data Science: descriptive, inferential, and probability.

Core machine learning algorithms: regression, trees, KNN, and clustering.

Time series forecasting and predictive modeling.

Ensemble methods and hyperparameter tuning.

Business Intelligence with Power BI dashboards and DAX.

Certified Data Scientist - AI Track (CDS-AI)

Professional skills, Excel, and database fundamentals.

Python programming with data analysis libraries (NumPy, Pandas, Seaborn).

Statistics for Data Science: descriptive, inferential, and hypothesis testing.

Core ML, ensemble methods, and time series forecasting techniques.

Advanced hyperparameter tuning and model optimization.

Generative AI, NLP techniques, and AI-powered agents.

Big Data processing, cloud integration, and model deployment.

Learn With a World-Class Curriculum

• ****** Course 1Certified Data Analyst (CDA) ******
• ****** Course 2Certified Data Scientist - ML Track (CDS-ML) ******
• ****** Course 3Certified Data Scientist - AI Track (CDS-AI) ******

Duration

5 Months

Description

Learn to analyze data using foundational tools. This program covers Excel, SQL, and Python to clean and transform data, build interactive dashboards with Power BI, and develop key professional skills for a successful career in data analysis.

Topics Covered

Excel & Database Fundamentals

Python & SQL for Data Analysis

Business Intelligence with Power BI

Duration

8 Months

Description

Master the core of machine learning with a focus on practical applications. This course covers everything from Python and SQL fundamentals to machine learning algorithms, time series forecasting, and model tuning for real-world projects.

Topics Covered

Python, Libraries, & SQL

Machine Learning Algorithms

Ensemble & Time Series Techniques

Duration

12 Months

Description

Become an AI expert by mastering Python, machine learning, and advanced generative AI concepts. Learn to deploy models using MLOps, work with big data in PySpark, and utilize Databricks for a comprehensive skill set.

Topics Covered

Python, Libraries, & SQL

Machine Learning & Generative AI

Big Data & Cloud Concepts

Student Testimonials

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Career Opportunities

Data Analyst:

Data insights specialist, Business Intelligence (BI) Analyst

Machine Learning (ML):

ML Engineer, AI Researcher, Deep Learning Scientist

Scientist:

Predictive Modeler, Statistical Analyst, Big Data Expert

Consulting:

Data Strategy Consultant, Analytics Advisor, AI Solutions

Frequently Asked Question

The program spans 3-12 months and adopts a hybrid format, combining both online and in-person sessions to provide flexibility and comprehensive learning experiences.

This course is designed for a diverse range of learners, from second-year engineering students to experienced professionals seeking to enhance their skills in data science and AI and students from any background can go for non-coding course in Data Science.

A foundational understanding of math and statistics is helpful, especially for Data Science and ML. However, many programs teach you the practical math you’ll need.

You will engage in more than 25 real-world projects, allowing you to apply theoretical knowledge to practical scenarios and build a robust portfolio. These projects span various industries and data science applications, providing a comprehensive hands-on experience.

Still Have Questions? We’re Just a Click Away.

Don’t hesitate to reach out! We’re here to help clarify any doubts you have. Whether you need more details about our courses, career paths, or anything else, our team is ready to provide the answers you need.

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Take Demo Online

Ready to explore your future? Take our free online demo, it’s just like a personalized career counseling session, designed to guide your path.

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