Dive into the fundamentals of data science with this comprehensive crash course for beginners. Explore essential components including statistics, data visualization, and programming. Learn about various statistical data types, averages, variance, standard deviation, and correlation. Discover the importance of data visualization and different graphing techniques for one, two, and three or more variables. Gain insights into how programming facilitates data science tasks, with recommendations for Python libraries to kickstart your journey. Perfect for those looking to quickly grasp the core concepts of data science and build a solid foundation for further learning.
Overview
Syllabus
) Introduction.
) Statistical Data Types .
) Types of Averages.
) Spread of Data.
) Quantiles and Percentiles.
) Importance of Data Visualization.
) One Variable Graphs.
) Two Variable Graphs.
) Three and Higher Variable Graphs.
) Programming.
Taught by
freeCodeCamp.org
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Reviews
5.0 rating, based on 1 Class Central review
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Have got the basics. Now need to go deeper in this course which I think is key in the new dispense nation. Am happy with him w the tutor has made it simple
