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freeCodeCamp - Data Analysis with Python

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.

Course related:

AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra

Subjects:

Computing, Data Science and Artificial Intelligence and Mathematics and Statistics

Keywords:

Computer programming Computer science Python (Computer program language)

Resource Type:

Others
e-book

The Crystal Ball Instruction Manual Volume One: Introduction to Data Science

A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

Subjects:

Computing, Data Science and Artificial Intelligence

Keywords:

Textbooks Computer science Artificial intelligence Data mining

Resource Type:

e-book

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