Python For Data Analysis 7pm

Master Python from scratch and learn how Data Analysts use it in real companies. This live batch is designed for beginners as well as working professionals who want to build strong programming and data analysis skills.

The course starts with Python fundamentals and gradually moves to advanced concepts like NumPy, Pandas, Data Visualization, Exploratory Data Analysis (EDA), File Handling, Object-Oriented Programming, SQL Integration, and Excel Automation. Every topic is taught using real-world business datasets and practical examples.

Students will work on industry-level projects from domains such as E-commerce, Banking, Finance, Healthcare, Retail, HR, and Supply Chain to gain hands-on experience. Along with live coding sessions, the course includes assignments, case studies, interview preparation, and portfolio-building projects to help students become job-ready.

What You Will Learn
Python Programming from Scratch
Variables, Data Types, Operators
Conditional Statements and Loops
Functions and Recursion
Lists, Tuples, Dictionaries, and Sets
File Handling and Exception Handling
Object-Oriented Programming (OOP)
NumPy for Numerical Computing
Pandas for Data Analysis
Data Cleaning and Data Transformation
Data Visualization using Matplotlib and Seaborn
Exploratory Data Analysis (EDA)
Working with CSV, Excel, JSON, and SQL Databases
Python with MySQL Integration
Excel Automation using Python
Real Industry Projects
Interview Preparation and Coding Practice
Projects Included
Blinkit Sales Analysis
Amazon Sales Analysis
Netflix Data Analysis
HR Analytics
Banking Analytics
Healthcare Analytics
Retail Sales Analysis
Supply Chain Analytics
E-commerce Customer Analysis
IPL Data Analysis
Who Can Join
Students
Freshers
Working Professionals
Data Analyst Aspirants
Data Science Beginners
Business Analysts
Anyone interested in learning Python for Data Analysis
Course Features
Live Interactive Classes
Daily Hands-on Coding Practice
Real Industry Datasets
Notes and Source Code
Assignments After Every Module
Case Studies
Mini Projects and Capstone Projects
Resume Building Support
GitHub Portfolio Guidance
Mock Interviews
Certificate of Completion
Placement Assistance
Batch Details

Batch: Python for Data Analysis

Mode: Live Online

Time: 7:00 PM

Duration: 2 Months

Language: Hindi

Prerequisite: No Programming Knowledge Required

By the end of this course, you will be able to analyze real-world datasets, automate repetitive tasks, build professional data analysis projects, and confidently apply for Data Analyst roles using Python.