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This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

License: MIT License

PowerShell 0.02% Shell 0.01% Python 98.96% JavaScript 0.07% HTML 0.01% CSS 0.02% Jupyter Notebook 0.04% C++ 0.35% C 0.40% Fortran 0.03% Smarty 0.01% Makefile 0.01% MATLAB 0.01% TeX 0.08%
data-wrangling data-analysis model-development model-evaluation model-refinement

analyzing-data-with-python's Introduction

Welcome to Data science with python, in this course, you will go over everything from how to load data, to building basic machine learning models. Each level in the pyramid summarises concepts you will learn in each module. The outer labels give a general summary, as you can see this course will start you off with the basics, the libraries you need and how to work with data. You will learn how to analyze data using summary statistics; this section is useful if you would like to make an argument with data. Finally, you will learn how to build Machine Learning Models and see how these models work in the real world.

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