Intro To Data Science - Crash Course for Beginners By freeCodeCamp.
Learn The Basic Components Of Data Science In This Crash Course For Beginners. You Will Learn About:
1. Statistics: We talk about the Types of Data You'll Encounter, Types of Averages, Variance, Standard Deviation, Correlation, and And More.
2. 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.)
3. 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 :
- 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
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The crash course provides a useful introduction to the statistical foundations of data science, covering data types, averages, variance, standard deviation, correlation, quantiles, and percentiles. These concepts help learners understand how datasets can be examined and interpreted before moving into more advanced data science workflows. A Data Analysis Course in Chennai can complement these fundamentals by providing further practice with analyzing and interpreting data.
ReplyDeleteData visualization is another major component highlighted in the course, including one-variable, two-variable, and three-variable graphs. Choosing an appropriate visual representation can make relationships, distributions, and patterns easier to identify and communicate. A Data Visualization Course in Chennai can help learners develop a stronger understanding of these techniques and apply them when presenting analytical findings. Data Science Projects for Final Year
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