Data Science Course in Pune

Our Data Science course in Pune is designed to equip students and professionals with industry-relevant skills, covering key concepts in data analysis, machine learning, and business intelligence. Whether you’re a fresh graduate, an IT professional transitioning into data science, or a business analyst seeking data-driven insights, this course provides a structured learning path to build expertise in data science.

Comprehensive Data Science Syllabus

The syllabus covers fundamental and advanced topics, including Python for data analysis, SQL and Excel for data management, data visualization with Power BI and Tableau, and machine learning concepts.

Who Should Join This Course?

Fresh graduates looking to enter the data science field
IT professionals aiming to switch careers to data science & analytics
Business analysts & managers looking to leverage data for decision-making

Module 1: Fundamentals of Analytics

Understanding the fundamentals of analytics is crucial for building a strong foundation in Data Science. This module introduces the core concepts of Data Science and Analytics, emphasizing its applications in various industries. Students will learn descriptive and inferential statistics, data structures, and feature engineering techniques essential for real-world data handling.

Introduction to Data Science and its applications
Importance of data-driven decision-making
Descriptive & inferential statistics
Data wrangling and feature engineering

Module 2: Excel for Data Analytics

Excel is a powerful tool for data analytics, widely used in business intelligence and decision-making. This module covers advanced Excel functions, data cleaning, and visualization techniques, helping students master Pivot Tables, Power Query, and dashboards for analytical reporting.

Advanced formulas & functions
Data cleaning & visualization
Pivot Tables, Power Query & Dashboard creation

Module 3: SQL for Data Science

SQL is a fundamental skill for data analysts and data scientists. This module teaches students how to interact with relational databases, perform complex queries, joins, and optimizations, and retrieve meaningful insights from large datasets.

SQL queries, joins & database management
Data retrieval & optimization
Hands-on project using SQL for Data Analysis

Module 4: Python for Data Science

Python is one of the most widely used programming languages in Data Science. This module focuses on Python fundamentals, data manipulation, and visualization techniques using popular libraries like NumPy, Pandas, and Matplotlib.

Python fundamentals & libraries (NumPy, Pandas, Matplotlib)
Data manipulation & visualization
Exploratory Data Analysis (EDA)

Module 5: Machine Learning & AI

Machine Learning is at the core of Data Science, enabling predictive analytics and AI applications. This module covers Supervised and Unsupervised Learning, regression, classification, and model evaluation, helping students build real-world machine learning models.