01-Mastering Data Science: From R Basics to GitHub Integration

In this course, we covered What is data science and why to study it? why to use R language for this specialization, few data scientists, data science use in Netflix and Spotify, what is data? what is big data? benefits and use of big data? data forms? data science question types, data science experimental design, data science process with real life example, how to get help as a data scientist? how to ask right question, then installing R and R Studio, quick tour of R Studio’s functionality, R packages, introduction to R markdown, projects in R, version control, GitHub tour and git installation and configuration and finally linking git and GitHub with R Studio. In this course, we also explored different data forms, from structured to unstructured, and learned how to use experimental design to answer important questions. Link to Blog where you can find respective blogs for each course. https://datscihub.blogspot.com/search/label/Data%20scientist%20toolbox Timecodes 0:00 - intro 0:05 - Data Science 1:34 - Why do we need Data Science? 4:31 - What is Data Scientist? 6:38 - Why study Data Science? 9:21 - Data science in action 11:09 - What is Data? 15:25 - Common types of Messy Data 16:02 - Sequencing Data 16:49 - Censual Data 17:45 - Electronic Medical Record 18:21 - Messy Image Analysis/ Extrapolation 19:03 - Types of Data Science Questions 19:30 - Descriptive Analysis 20:48 - Exploratory Analysis 22:35 - Inferential Analysis 24:13 - Predictive Analysis 26:04 - Censual Analysis 28:03 - Mechanistic Analysis 29:15 - Big Data 30:39 - Structured & Unstructured Data 32:13 - Challenges and Benefits of working with Big Data 35:51 - How to get help? 50:41 - Data Science Experimental Design 01:00:14 - Data Science Process 01:02:43 - Predicting House Prices each step 01:16:21 - Installing R 01:23:23 - Installing R Studio 01:26:49 - Tour into R Studio 01:34:53 - R Packages 01:48:36 - Introduction to R Markdown 01:58:12 - Projects in R 02:04:29 - Version Control 02:08:19 - Git & GitHub 02:17:48 - Creating GitHub account 02:23:14 - Installing & Configuring Git 02:26:50 - Linking R Studio with Git/GitHub 02:30:56 - Getting Existing Projects Under Version Control 02:33:32 - Cloning Project into R Studio