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Complete Python Masterclass: Core Python to Data Analysis
New
3 students

Complete Python Masterclass: Core Python to Data Analysis

Learn Python programming, NumPy, Pandas, and Data visualization through practical, scenario-based learning and projects
Created byGRASSP Acad
Last updated 9/2026
English

What you'll learn

  • Build a strong foundation in Core Python programming, including variables, data types, conditions, loops, and functions.
  • Work confidently with Python data structures such as lists, tuples, dictionaries, and sets to solve practical data-related problems.
  • Develop practical skills in error handling, List and Dictionary Comprehension, Object-Oriented Programming (OOPs).
  • Develop practical skills in file handling, API integration, and database handling using Python.
  • Use NumPy and Pandas to clean, transform, filter, analyze, and summarize real-world datasets efficiently.
  • Create meaningful data visualizations using Matplotlib and Seaborn, and communicate business insights through charts and analysis.
  • Reinforce your learning through quizzes, coding exercises, and a practical capstone project that brings together Python programming and data analysis skills.

Course content

12 sections • 201 lectures • 14h 33m total length

  • Introduction to Programming Language1:32
  • Advantages of Python1:28
  • Applications of Python3:06
  • Business Story1:28
  • Install Python and Visual Studio0:58
  • Difference between .py and .ipynb2:49
  • VS Code workspace .py and .ipynb5:53
  • Python Print Statement3:46
  • Introduction to Variables and Datatypes1:43
  • Different types of Variables7:33
  • Datatypes and Typecasting6:13
  • Variables, Datatypes, Typecasting

Requirements

  • No prior Python or programming knowledge needed.
  • Just a laptop, internet connection and willingness to learn. All software and tools used in this course can be downloaded for free.

Description

Become confident in Python programming and learn one of the most valuable skills for modern data careers!

Whether you are completely new to programming, have some basic Python knowledge, or want to build practical data analysis skills, this course is designed to help you learn Python from the ground up.

Complete Python Masterclass: Core Python to Data Analysis takes you on a structured journey from programming fundamentals to working with real-world datasets using Python, NumPy, Pandas, and data visualization tools.

This course focuses on practical, scenario-based learning, helping you understand not just how to write Python code, but also why and when to use it to solve real-world problems.

You will begin with the foundations of Core Python, including variables, data types, conditions, loops, functions, error handling, file handling, and Object-Oriented Programming. You will then apply these concepts to data analysis using powerful Python libraries.

Throughout this course, you will learn how to:

  • Understand Python programming fundamentals

  • Work with strings, lists, tuples, dictionaries, and sets

  • Use conditions, loops, and functions to solve problems

  • Handle errors and debug Python programs

  • Read from and write to files (File Handling, API & DB handling)

  • Understand Object-Oriented Programming concepts

  • Work with NumPy arrays and numerical operations

  • Use Pandas to clean, transform, filter, and analyze data

  • Perform practical data analysis using real-world scenarios

  • Create meaningful charts and visualizations using Pandas for data processing, and Seaborn, Matplotlib for viz.

  • Communicate insights from data using Python

  • Strengthen your coding and problem-solving skills through practical examples, quiz, and projects.

  • Jupyter Notebook: Set up and use Jupyter Notebook to write, execute, organize, and document Python code interactively.

  • Running Python Code: Execute Python programs using scripts and Jupyter Notebooks.

The course is designed with a business-first and practical approach. Instead of learning syntax in isolation, you will work through examples that demonstrate how Python can be used to solve common programming and data analysis problems.

You will also strengthen your problem-solving skills through coding exercises, quizzes, practical demonstrations, and scenario-based questions.

Whether you are a student, fresher, working professional, aspiring data analyst, or someone from a non-technical background, this course will help you build a strong foundation and develop the confidence to use Python for data analysis.

By the end of this course, you will have a solid understanding of Core Python and the practical skills needed to work with NumPy, Pandas, and data visualization.

Start your Python journey today and build the skills needed to work confidently with data.

Who this course is for:

  • Beginners, students, freshers, and working professionals who want to learn Python for data analysis.
  • Learners from technical and non-technical backgrounds who want to build practical skills in Core Python, NumPy, Pandas, and data visualization.
  • Developers, data scientists, and machine learning professionals who want to strengthen their practical Core Python and data analysis skills and apply them to real-world scenarios.

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