CertifiedThe Python for Data Analysis course is a thoughtfully curated, beginner-friendly program that takes you from zero to job-ready by teaching you how to use Python effectively in real-world data analysis scenarios.
This 15-hour course starts with the fundamentals of Python programming and progresses into specialized topics that are essential for data analysis roles. You'll learn how to write clean, efficient code and explore how Python is used in data cleaning, manipulation, automation, and visualization. Each module is hands-on and project-oriented, ensuring that what you learn is directly applicable in job interviews or your current work.
Whether you're a student, working professional, or aspiring data analyst, this course helps you build confidence in Python and equips you with the right tools to analyze, visualize, and present data meaningfully.
Key Learnings:
Introduction to Python: Setting up the environment, writing your first program, understanding syntax
Working with Data Types: Strings, numbers, booleans, type conversions, and typecasting
Control Structures: Conditional statements (if, elif, else) and looping with for and while
Data Structures in Python: Lists, Tuples, Dictionaries, and Sets – with real-time use cases
Functions & Lambda Expressions: Writing reusable code and applying logic to data operations
Exception Handling: Writing robust programs with try, except, and finally blocks
File Handling: Reading, writing, and processing external files like CSV and text
Basic Automation & Scripting: Performing repetitive tasks like data extraction and formatting
Introduction to Libraries: A sneak peek into NumPy and Pandas for structured data handling
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