Welcome to the Data Analysis with Python Certification Projects repository. Here, you will find the solutions for the certification projects included in the Data Analysis with Python course offered by freeCodeCamp.
Data Analysis has been around for a long time. However, recent developments in Python, SQL, and other open libraries have transformed Data Analysis, making it more accessible and powerful than ever before.
In the Data Analysis with Python Certification, you will learn the fundamentals of data analysis with Python. By the end of this certification, you will be proficient in reading data from sources like CSVs and SQL, and adept at using libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn.
Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.
Learn the basics of the NumPy library in this video course created by Keith Galli. In this course, you'll learn how NumPy works and how it compares to Python's built-in lists. You'll also learn how to write code with NumPy, indexing, reshaping, applied statistics, and much more.
Demonstrate your solid foundational knowledge of data analysis with Python by completing the following projects:
- Mean-Variance-Standard Deviation Calculator
- Demographic Data Analyzer
- Medical Data Visualizer
- Page View Time Series Visualizer
- Sea Level Predictor
Finish all the projects to claim your Data Analysis with Python Certification.
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Let's dive into the world of Data Analysis with Python! Happy coding!