Learn Data Analysis: FreeCodeCamp has launched a free certified course


In the world of data analysis, where information is crucial for decision-making, Python stands out as the fundamental tool, thanks to its robust libraries and specialized tools.

Data analysis involves exploring and gathering information through statistical measures and visualizations, aiming to uncover trends, relationships, and patterns in datasets.

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The Python programming language shines as a powerful choice, with libraries such as NumPy, Pandas, Matplotlib, and Seaborn, facilitating efficient data manipulation, processing, and visualization.

FreeCodeCamp.org, a recognized online educational platform, has launched a specialized certification in Data Analysis with Python.

This comprehensive course covers everything from the fundamentals of data analysis to exploring various sources and types of data. Throughout the certification, you will learn the following:


  1. Introduction to Data Analysis:
    • Use of Jupyter Notebooks.
    • Import and export of data.
    • Basics of NumPy.
  2. Pandas and Data Cleaning:
    • Indexing and conditional selection in Pandas.
    • Working with DataFrames.
    • Data cleaning processes and handling duplicates.
  3. Data Reading:
    • Data extraction from sources such as CSV, TXT, and databases.
    • Analysis of HTML and data storage.
  4. Introduction to Python:
    • Review of functions and collections in Python.
    • Exploration of iteration concepts and modules.

The course integrates practical data analysis projects with Python, including the creation of a mean-variance-standard deviation calculator, a demographic data analyzer, a medical data visualizer, and a sea level predictor.

These projects not only reinforce acquired knowledge but also provide tangible evidence of the skills developed during the course.

Upon completion of this course, you will not only gain technical skills in using key Python tools for data analysis but also receive a free certification from the platform.

If you are interested in learning, you can access the course using this button:


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