Enroll in India’s Leading Online
Data Science Master Program
in collaboration with
At Digived Tech Academy — the best data science training in India, offering a comprehensive journey from beginner levels.
- 100% Job Assistance
- 3 Months Live Internship with IIT
- 1200+ Hiring Partners
Book Your Seat Now!
Propel your Career with us
Engaging Hands-on Learning Experience
100% Placement
Assistance
Lifetime Faculty
Support
Soft Skills and Interview Preparation
Why Choose Us
Master Program in Data Science with IIT
Unlike short-term certifications, this Postgraduate Program offers a comprehensive, industry-aligned Curriculum developed by leading data scientists and practitioners. It blends academic foundations with practical, hands-on learning, ensuring you gain deep expertise in data analysis, machine learning, and data engineering.
This is not just another course—it’s a complete career transformation journey. Designed in collaboration with experts from top tech firms and aligned with global standards in analytics, the program equips you to solve real-world business problems, build deployable models, and lead data-driven decision-making in any industry.
Industry-Relevant Curriculum
Our Post Graduate Program in Data Science follows a practical-first approach, designed to meet the dynamic needs of modern industries. The curriculum is continuously updated and includes hands-on training in tools like SQL, Excel, Power BI, Python, Numpy, Pandas, Seaborn, and Machine Learning. Every module is structured with real-world datasets, exercises, and industry projects to ensure strong practical knowledge alongside theoretical understanding.
You’ll also work on a capstone project to showcase your ability to apply data science techniques to real business problems.
Key Focus Areas:
Data Analysis & Interpretation:
Gain expertise in data cleaning, exploration, and statistical analysis using tools such as Python (Pandas, NumPy) and R, helping you draw meaningful insights from raw data.
Data Visualization & Storytelling:
Learn to transform complex data into clear, compelling visuals using Power BI, Tableau, and Matplotlib—an essential skill for driving data-backed decisions.
Predictive Analytics & Statistical Modeling:
Master the core techniques of regression, classification, clustering, and time series forecasting to build models that solve real-world business challenges.
Overview
CAREER OPPORTUNITY
Mapped to Job Roles in Data Science and Analytics Industry
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Analyst
- Quantitative Analyst
- Business Intelligence Analyst
- NLP Engineer
- Predictive Model Engineer
ABOUT US
Why Choose Digived Tech Academy
DATA SCIENCE MASTER PROGRAM COURSE CURRICULUM
Curriculum
Understanding & Exploring Data
Unlike short-term certifications, this Postgraduate Program offers a comprehensive, industry-aligned Curriculum developed by leading data scientists and practitioners. It blends academic foundations with practical, hands-on learning, ensuring you gain deep expertise in data analysis, machine learning, and data engineering.
Excel
Microsoft Excel is a powerful and versatile spreadsheet program commonly utilized for data organization, analysis, and visualization across various industries. Equipped with tools such as formulas, charts, and tables, it allows users to manage and interpret data efficiently, making it an essential resource for businesses and professionals worldwide.
● Overview of Excel
● Core Excel Principles
● Data Analysis with Built-in Functions
● Essential Data Visualization Methods
● Designing Charts and Graphs
Advanced Excel
Advanced Excel builds on foundational skills by introducing complex formulas, pivot tables, macros & automation tools. These features enable data science professionals to efficiently analyze large datasets with greater accuracy, improving the extraction of actionable insights for informed decision-making.
● Essential Functions
● Lookup Techniques
● VLOOKUP, INDEX, HLOOKUP
● Date and Time Functions
● Data Tables and Validation Tools
● Pivot Table Analysis
● Financial Formulas
● Macros and Automation Scripting
● Custom Formatting and Advanced Filtering
Dashboard creation
Dashboard creation in a data science course emphasizes converting data into clear, impactful narratives. By incorporating critical insights into visually engaging
dashboards, students learn to communicate results effectively, support data-driven decision-making, and enhance presentations with compelling stories backed by data.
● Introduction to Data Storytelling with Excel
● Principles of Effective Dashboard Design
● Techniques for Developing Advanced Dashboards
Data Analytics
Build a strong foundation in data science by gaining proficiency in SQL for efficient data management and understanding fundamental concepts of probability and statistics. Enhance your skills in transforming complex datasets into valuable insights through Power BI by creating interactive dashboards and compelling visualizations. This module equips you with the vital tools and techniques to analyze, interpret, and present data effectively, supporting well-informed decision-making in practical applications.
SQL
Develop proficiency in both basic and advanced SQL (Structured Query Language) concepts, essential for data science practitioners. This comprehensive module emphasizes effective querying, filtering, and managing large datasets in relational databases to uncover meaningful insights. Participants will also learn methods to enhance query efficiency, handle complex data architectures, and smoothly incorporate SQL into data science processes to tackle practical, real-world problems and challenges.
Topics Covered:
● Database and Query Fundamentals
● Data Extraction With SQL
● Leveraging BigQuery for Large Data
● Functions, Filtering, and Subqueries
● Joins and Nested Queries for Complex Data Relationships
● Aggregation and Grouping Method
● Date and Time Functions for Analytical Tasks
● Indexing and Partitioning
Probability & Statistics
Mathematics serves as a crucial foundation for Data Science, equipping professionals with essential tools to analyze data rigorously and extract meaningful, actionable insights. Fundamental mathematical disciplines such as statistics, probability theory, and linear algebra enable data scientists to identify complex patterns, validate predictive models, and design sophisticated algorithms that effectively solve challenging problems. Mastery of these concepts is vital for transforming raw, unstructured data into valuable knowledge that drives innovation, optimizes processes, and supports strategic, data-driven decision-making across various industries.
● Probability Concepts and Bayes’ Theorem
● Understanding Probability Distributions
● Descriptive Statistics and Detection of Outliers
● Hypothesis Testing and A/B Experimentation
● Analysis of Variance (ANOVA) Techniques
● Correlation and Regression Methods
● Basics of Linear Algebra and Matrix Calculations
Power BI
Power BI, a powerful business intelligence tool developed by Microsoft, is integral to contemporary data science processes. This module prepares learners to collect, clean, transform, and model data from various sources effectively. Through the use of Power Query and DAX (Data Analysis Expressions), students will create interactive dashboards and meaningful visualizations that support strategic business decision-making. The practical, hands-on training focuses on real-time analytics, identifying trends, and monitoring performance—essential competencies for future data experts.
● Introduction to Power BI and User Interface
● Data Connectivity and Transformation Using Power Query
● Advance Data Modeling
● Designing Effective and Interactive Visualizations
● Utilizing DAX for Custom Metrics and Advanced Calculations
● Crafting Clear and Interactive Dashboards
● Producing Comprehensive Business Reports
● Implementing Power BI in Practical Case Studies & Industry Scenarios
Python for Data Science
Begin your data science journey with Python, a versatile and widely used programming language in the industry. This module covers fundamental skills such as data cleaning, transformation, and visualization. Through practical exercises and real-world projects, you will learn how to manipulate datasets, identify significant patterns, and communicate your results clearly, building a solid technical foundation for more advanced analytics and machine learning topics.
Python Programming
Python is a popular programming language known for its simple syntax and user-friendly design, making it suitable for both beginners and experienced users. In the Digived Academy Data Science course, Python is a fundamental tool used for data manipulation, analysis, and building machine learning models. Its versatility supports various programming paradigms, including object-oriented and functional programming, enabling flexible approaches to solving a wide range of data problems. Equipped with powerful libraries and frameworks dedicated to analytics, Python enables learners to develop effective, real-world data solutions with ease.
● Pandas
● NumPy
● Matplotlib
● Seaborn
● Scikit-learn
● TensorFlow
Data wrangling
Data wrangling involves cleaning, transforming, and structuring raw data into an organized format suitable for analysis. This critical process ensures the quality and reliability of data by addressing challenges such as missing values, duplicate entries, and inconsistent formatting. At Digived Academy, participants receive practical training in key tools and methodologies designed to optimize the data preparation workflow, enabling precise and efficient outcomes for subsequent processes like data visualization and modeling.
Tools & Topics Covered:
● NumPy – Efficient handling of numerical data and arrays
● Pandas – Powerful data manipulation and analysis with DataFrames
● Data Acquisition – Techniques to gather data from various sources
● Web Scraping – Extracting structured data from websites
● BeautifulSoup – Parsing HTML and XML documents
● Selenium – Automating web browsing tasks for dynamic data extraction
Data visualization
Data visualization is the process of transforming raw data into clear, insightful visual formats like charts, graphs, and interactive plots. This module enables learners to convert complex datasets into intuitive visuals that uncover trends, emphasize patterns, and identify anomalies. Beyond aesthetics, effective data visualization enhances analytical thinking, supports compelling data storytelling, and facilitates informed decision-making across both business and technical fields
● Matplotlib
● Seaborn
● Plotly
● Charting Techniques
Applied Machine Learning
Delve into the fundamentals of machine learning by gaining comprehensive knowledge of algorithms, model training, and evaluation methods. Build a strong understanding of big data principles, learning how to derive valuable insights from extensive datasets. This module also covers ML Ops, emphasizing the deployment, monitoring, and fine-tuning of machine learning models in practical settings. Tailored for the Digived Academy Data Science curriculum, this content provides learners with hands-on skills to develop scalable, production-ready machine learning solutions.
Machine Learning
Machine Learning is a fundamental aspect of Data Science that enables systems to learn from data, recognize patterns, make accurate predictions, and automate complex decisions without explicit programming. Within the Digived Academy Data Science program, learners develop practical skills and hands-on experience to apply various ML techniques effectively to solve diverse real-world problems across industries.
● Regression and Classification Methods
● Decision Tree and Random Forest Algorithms
● Clustering Techniques, including DBSCAN
● Exploratory Data Analysis (EDA)
● Feature Engineering for Enhancing Model Performance
● Model Building and Hyperparameter Optimization
Generative AI
Generative AI stands at the cutting edge of artificial intelligence, redefining how machines interact with and create content. Unlike traditional AI, which is primarily designed to analyze or categorize data, generative AI focuses on creating—producing entirely new text, images, audio, and even video by learning from patterns in existing data.
Generative AI
This powerful technology is the driving force behind innovations like AI chatbots, AI-generated art, synthetic voice generation, and automated content tools. By leveraging advanced models such as GANs (Generative Adversarial Networks) and transformers, generative AI is transforming industries—enhancing creativity, accelerating productivity, and opening new avenues for automation.
● Understanding Generative AI
● Deep Learning Fundamentals
● Introduction to Generative Models
● Generative Adversarial Networks (GANs)
● Variational Autoencoders (VAEs)
● Transformers and Large Language Models
● Creating Synthetic Data
● Real-World Applications of Generative AI
● Ethics, Risks & Responsible AI
● Capstone Project
LEARNINING OBJECTIVES
Skills Covered
Tools Covered in Data Science
Learn AI by Solving Real-World Problems Build with AI. Supercharge your career.
Global Certification
Get Certified with IIT Palakkad and Digived
The Data Science Certification ensures industry credibility and global recognition, providing a solid foundation for accelerating your career in data-driven roles across diverse industries.
Success Stories
Digived's Learners
Course fees and Training
Options
Live online
Learn In Expert Live Sessions
What all includes in this?
- Tuition
- 3-month Internship
- Tools and Techniques
- Projects and Support
₹ 2,00,000
₹ 1,25,000/-
+ 18% taxes
*Flexible EMI Options Available
WHO CAN TAKE THIS COURSE
Prerequisites and Eligibility
- No Prerequisites required
- Only willingness to work hard and determination to achieve success is enough
Who can take this course
- Students
- Graduates
- Freshers
- Working Professionals
- Tech Background
- Non-Tech Background
- Career Gap
- Restarting Career
- Switching Career Domain
Frequently Asked Questions
What is the Post Graduate Program in Data Science
A 9 -month, industry-aligned program designed to equip learners with essential data science skills, tools, and project experience to become job-ready professionals.
Who should take this program?
Anyone looking to build or advance a career in data science—fresh graduates, working professionals, career switchers, or individuals with a background in math, IT, statistics, or business.
Is this a practical or theoretical program?
This is a hands-on, practical-first program. While you’ll learn core theoretical concepts, the focus is on real-world application through projects, case studies, and exercises.
Does this program offer placement support?
Yes, the program includes dedicated placement assistance with resume building, mock interviews, and access to hiring partners across multiple industries.
Can I pursue this while working?
Absolutely. The program is designed for flexibility, with weekend and evening sessions to accommodate working professionals.
What is the mode of examination?
Assessments include module-based quizzes, project evaluations, and a final capstone project. All exams and submissions are conducted online.