Learn the basic components of Data Science in this crash course for beginners. You will learn: Statistics; Data visualization; Programming

Learn the basic components of Data Science in this crash course for beginners.

In this course for beginners, you will learn about:

Statistics: we talk about the types of data you'll encounter, types of averages, variance, standard deviation, correlation, and more.

Data visualization: we talk about why we need to visualize our data, and the different ways of doing it (1 variable graphs, 2 variable graphs and 3 variable graphs.)

Programming: we talk about why programming helps us with data science including the ease of automation and recommended Python libraries for you to get started with data science.

⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:10:52) Statistical Data Types ⌨️ (0:25:10) Types of Averages ⌨️ (0:38:55) Spread of Data ⌨️ (0:50:54) Quantiles and Percentiles ⌨️ (0:55:52) Importance of Data Visualization ⌨️ (1:05:14) One Variable Graphs ⌨️ (1:12:04) Two Variable Graphs ⌨️ (1:25:08) Three and Higher Variable Graphs ⌨️ (1:31:20) Programming

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