Make smarter decisions with our Data Analysis Training Course — your gateway to turning raw data into meaningful insights. This hands-on program covers essential tools and techniques across Excel, SQL, Python, and visualization platforms like Power BI and Tableau. Whether you're analyzing trends, forecasting outcomes, or making data-driven business strategies, you'll gain the confidence to explore, interpret, and communicate data like a pro. It's not just numbers — it's storytelling with evidence
Python is a versatile and widely used programming language in data analysis due to its simplicity, flexibility, and the vast ecosystem of libraries tailored for data manipulation, analysis, and visualization.
Installation: Install Python IDLE and an IDE PyCharm Community Edition.
Chapter 1: Introduction to Python - What is Python, Variables, Data Types, Operators, Input/Output, Comments
Chapter 2: Control Structures - if, else, elif, for, while, break, continue
Chapter 3: Python Data Structures Part 1 - Lists, Tuples
Chapter 4: Python Data Structures Part 2 - Sets, Dictionaries
Chapter 5: Strings in Python - String Manipulation
Chapter 6: Python Function - Functions: Defining, Calling, Arguments, Return Values
Chapter 7: Modules and Packages - User Defined Modules and Packages - Standard Libraries: math, random, datetime, etc.
Chapter 8: Exception Handling - try, except, finally
Chapter 9: File Handling - open(), reading/writing files
Chapter 10: OOP - Classes, Objects, __init__(), Methods, Inheritance, Polymorphism
Final Assesment
Award / Certification
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