505 Course Overview
Data scientist is one of the best-suited professions to thrive this century. Make yourself capable enough of the required skills necessary to be hired as a data scientist with this Data Science: R Programming Online course.
It is digital, programming-based, and data-driven. You will learn about R and R studio, vector, matrics, factors, data frame, logical operation, plotting data in R, and many more exciting and unrevealed topics. After completing the course, you will act like a pro data scientist!
Enroll now and spike up your proficiency in data science!
- 130 Video Lessons
- 365 Days Access
Learning Outcomes
- Understand the Fundamentals of Data Science
- Know Data Science as a Process
- Familiarize Yourself With the Data Science Toolbox
- Learn About the Data Science Processes
- Acquire an Understanding of Engine and Coding Environments
- Be Able to Install R and Rstudio
- Know About Data Frames and Lists
- Gain an Understanding of Conditional Statements
Who is this course for?
This Course Will Open Up a Vast Career Opportunity for You. Namely:
- Data Scientist
- Data Analyst
- Data Enumerator
- Data Developer
- Accountant
- Finance Analyst
“Storytelling is the most powerful way to put ideas into the world today.”
— Robert McKee
Curriculum
| Unit 01: Data Science Overview | |||
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Introduction to Data Science 00:01:00 | ||
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Data Science: Career of the Future 00:04:00 | ||
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What is Data Science? 00:02:00 | ||
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Data Science as a Process 00:02:00 | ||
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Data Science Toolbox 00:03:00 | ||
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Data Science Process Explained 00:05:00 | ||
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Dog Walking 00:20:00 | ||
| Unit 02: R and RStudio | |||
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Engine and coding environment 00:03:00 | ||
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Installing R and RStudio 00:04:00 | ||
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RStudio: A quick tour 00:04:00 | ||
| Unit 03: Introduction to Basics | |||
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Arithmetic with matrices 00:07:00 | ||
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Variable assignment 00:04:00 | ||
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Basic data types in R 00:03:00 | ||
| Unit 04: Vectors | |||
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Creating a vector 00:05:00 | ||
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Naming a vector 00:04:00 | ||
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Arithmetic calculations on vectors 00:07:00 | ||
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Vector selection 00:06:00 | ||
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Selection by comparison 00:04:00 | ||
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What’s a Matrix? 00:02:00 | ||
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Analyzing Matrices 00:03:00 | ||
| Unit 05: Matrices | |||
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Naming a Matrix 00:05:00 | ||
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Adding columns and rows to a matrix 00:06:00 | ||
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Selection of matrix elements 00:03:00 | ||
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Arithmetic with matrices 00:07:00 | ||
| Unit 06: Factors | |||
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What’s a Factor? 00:02:00 | ||
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Categorical Variables and Factor Levels 00:04:00 | ||
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Summarizing a Factor 00:01:00 | ||
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Ordered Factors 00:05:00 | ||
| Unit 07: Data Frames | |||
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What’s a Data Frame? 00:03:00 | ||
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Creating Data Frames 00:20:00 | ||
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Selection of Data Frame elements 00:03:00 | ||
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Conditional selection 00:03:00 | ||
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