Intro to Data Science - Crash Course for Beginners
- 2019-03-05 10:54 AM
Learn the basic components of Data Science in this crash 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
☞ Machine Learning In Node.js With TensorFlow.js
☞ A Complete Machine Learning Project Walk-Through in Python
☞ Top 10 Algorithms for Machine Learning Newbies
☞ Introduction to PyTorch and Machine Learning
☞ Python Tutorial for Beginners (2019) - Learn Python for Machine Learning and Web Development
☞ Machine Learning A-Z™: Hands-On Python & R In Data Science
☞ Data Science A-Z™: Real-Life Data Science Exercises Included
☞ R Programming A-Z™: R For Data Science With Real Exercises!
☞ Python for Data Science and Machine Learning Bootcamp
☞ Tableau 10 A-Z: Hands-On Tableau Training For Data Science!
☞ Deep Learning A-Z™: Hands-On Artificial Neural Networks
Original video source: https://www.youtube.com/watch?v=N6BghzuFLIg