Essentials of Data Science | Max S | Skillshare

Essentials of Data Science

Max S, Power through programming

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10 Lessons (1h 38m)
    • 1. Intro to Data Science

    • 2. Statistical Data Types

    • 3. Types of Averages

    • 4. Spread of Data

    • 5. Quantiles and Percentiles

    • 6. Importance of Data Visualization

    • 7. One Variable Graphs

    • 8. Two Variable Graphs

    • 9. Three and Higher Variables Graphs

    • 10. Programming in Data Science

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About This Class

Data Science is growing ever faster as Big Data become an increasingly important part of our lives.
Because data is universal, the applications of Data Science are pretty much endless, all you need is access to the data of the system that you want to study.

Since it's such a new field, there are a lot of questions about what is Data Science, what do Data Scientists do, and what do you need to succeed as a Data Scientist? 

This course is designed to give you an overview of the three essential areas of Data Science, the areas that every good data scientist should know, and being proficient in these areas can be the key to your success. After this course you will have a clear understanding of what Data Science is all about, and can make a clear decision of if it's the right field for you. You will also know what areas are important in Data Science, and hence can make informed decisions on what areas to focus on learning.

When you really get into Data Science there are other areas that start coming in too, but all of these can be traced back to one, or multiple, of these three basic foundations.