Data Analysis

Data Analysis with Python Programming

Course Overview

This intensive 2-day bootcamp introduces participants to Python programming with a focus on data analysis. Through interactive exercises and real-world datasets, participants will learn how to import, clean, manipulate, and visualize data. The course provides a strong foundation in Python and equips learners with the tools to extract meaningful insights from data.

Course Objectives

Understand Python fundamentals and basic syntax.
Use libraries like Pandas, NumPy, Matplotlib, and Seaborn for data analysis.
Load, explore, clean, and transform datasets.
Perform simple statistical analysis and aggregations.
Create visualizations to communicate data insights effectively.
Apply learned skills to a real-world data analysis project.

Learning Outcomes

By the end of this training, participants will be able to:

Gain confidence in using Python for data-related tasks.
Be able to write basic Python programs and functions.
Analyze tabular data using Pandas.
Create meaningful charts and plots using Matplotlib and Seaborn.
Solve practical problems using real datasets.
Be prepared to move on to intermediate Python or machine learning courses.

Who Should Join

Beginners with no prior programming experience.
Students and educators who want to explore data analysis.
Business professionals, analysts, and administrators working with data.
Anyone interested in learning how to analyze data with Python.

What You'll Get

Certificate of Completion
Meals Provided
Digital Notes

Course Outline

Day 1: Python Fundamentals & Data Handling

Introduction to Python
Variables, Data Types, Lists, Dictionaries
Loops, Conditional Statements, Functions
Intro to Pandas: Reading and exploring datasets
Data cleaning: Handling missing data, renaming, sorting
Mini Project: Titanic or Sales Data Analysis

Day 2: Data Analysis, Visualization, and Insights

Grouping and aggregating data using Pandas
Merging and joining datasets
Data visualization with Matplotlib & Seaborn
Real-world Project: Analyze and present data insights
Course recap, final Q&A, and learning resources

Public Training Slots

Date	Day	Mode	Venue	Time	Public Price	HRDC Price