Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Complete Python Basics to Data Analysis Masterclass
Rating: 4.0 out of 5(1 rating)
2 students

Complete Python Basics to Data Analysis Masterclass

Master Python basics, then clean, explore, and visualize datasets like a real data analyst
Created byPaul Carlo Tordecilla
Last updated 12/2025
English

What you'll learn

  • Students will learn Python from beginner level, including variables, conditions, loops, functions, and basic OOP.
  • They will use Pandas and NumPy to load, clean, transform, and analyze real datasets.
  • They will create clear charts and visual insights using Matplotlib and Seaborn for Exploratory Data Analysis (EDA).
  • they will complete hands-on exercises and projects they can use for a portfolio.

Course content

4 sections • 20 lectures • 2h 8m total length

  • Introduction2:42

Requirements

  • No prior programming experience is required
  • They should be able to install Python and a code editor like VS Code or use Jupyter Notebook
  • A willingness to practice and type code during lessons is the most important requirement.

Description

Want to learn Python and actually use it for real data analysis? This course starts with the essentials so even if you’re a complete beginner, you’ll build strong Python foundations then transitions into the tools and workflow used by data analysts to explore, clean, and visualize data.

You’ll learn by doing: short lessons, clear examples, and hands-on practice that leads to real exploratory data analysis (EDA). By the end, you’ll be able to load datasets, clean messy data, compute insights, and create charts that explain what’s happening in the data.


What you’ll learn

  • Write Python code confidently (variables, conditions, loops, functions, basics of OOP)

  • Work with data using NumPy and Pandas (filtering, grouping, merging, missing values)

  • Perform EDA: summary stats, trends, outliers, correlations

  • Create clean visualizations with Matplotlib and Seaborn

  • Build mini-projects and a complete EDA project you can show in your portfolio

  • Export results (tables/plots) for reports and presentations

Requirements

  • No prior programming needed

  • A computer (Windows/Mac) and willingness to practice

  • Recommended: install Python + VS Code or use Jupyter Notebook

Who this course is for

  • Absolute beginners who want to learn Python the right way

  • Students and career shifters aiming for Data Analyst / BI / Junior Data Science

  • Freelancers who want to add data analysis as a skill

  • Anyone who wants to turn raw data into insights using Python

Course style

  • Beginner-friendly explanations

  • Step-by-step coding

  • Practical exercises and projects

  • Real-world data analysis workflow (not just theory)

If you want a course that takes you from Python basics all the way to data analysis projects, this is for you.

Who this course is for:

  • This course is for complete beginners who want to learn Python in a simple, step-by-step way
  • It is for students and career shifters who want to start a path toward data analyst or junior data science roles
  • It is also for professionals who handle reports or spreadsheets and want to learn how to analyze data faster using Python
  • Anyone who wants to build real data analysis projects and understand data through visualization will benefit from this course.

Report abuse