Data Science: R Programming Complete Diploma
Data Science: R Programming Complete Diploma
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Beginner
5( 76 Reviews )
4 hrs 42 mins
Data Science
Beginner5(76 Reviews)4 hrs 42 mins HrsLearn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp.
Learn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp.
81 Premium Lessons 
9 Quizzes & Assessments
Certificate of CompletionUpgrade to Pro +
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Overview
R is one of the most powerful programming languages, for statistical computing and graphical presentation to analyze and visualize data.
In this course, you'll learn how to code with R from the R basics to the R advanced concepts. Also, you will explore how the R programming language can be used today for data analysis and the production of beautiful data visualizations and graphics. Moreover, every single topic and tool in this course will be explained theoretically and practically with real examples step by step.
By the end of the course, you'll be a certified R Programming professional.
The necessary resources for this course are in the "Resources" section of Video 1.1. You can also access them through this direct link - https://github.com/ec-council-learning/Data-Science-R-Programming-Complete-Diploma
What You Will Learn
Learn about R working tools and environment for professionals- Practice the R syntax and how to explain and describe the code using comments
- Learn Variables, Values and assignments
- Hands on performing mathematical operations, type conversion built-in functions and many useful built-in functions for math operations
- How to work with collection of characters and strings in R, also essential character operations
- Learn Handling different operations on variables and values by using different types of operators
- All the Data Structures in R such as vectors, lists, matrices, data frames and factors. And also all the essential operations for these data structures
- Decision making by using conditional statements in R
- Hands on Data visualizations and Graphics in R: drawing points, line plotting, pie charts, bar charts, histograms and more
- Get to know about Statistics and data analysis concepts: datasets, many built-in functions, techniques and tools for statistical operations
Prerequisites
- No programming experience needed. You'll learn everything you need to know
Course Content
Chapter 1 : Introduction
4 Videos | 0 hrs 13 mins
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Chapter 2 : Variables, Data Types, and Hints
8 Videos | 0 hrs 25 mins
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Chapter 3 : Numbers and Math
3 Videos | 0 hrs 25 mins
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Chapter 4 : Characters
7 Videos | 0 hrs 17 mins
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Chapter 5 : Logical and Operators
7 Videos | 0 hrs 20 mins
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Chapter 6 : DS - Vectors
7 Videos | 0 hrs 22 mins
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Chapter 7 : DS - Lists
4 Videos | 0 hrs 17 mins
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Chapter 8 : DS - Matrices
5 Videos | 0 hrs 19 mins
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Chapter 9 : DS - Arrays
5 Videos | 0 hrs 13 mins
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Chapter 10 : DS - Data Frame
6 Videos | 0 hrs 19 mins
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Chapter 11 : DS - Factors
4 Videos | 0 hrs 13 mins
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Chapter 12 : Decision Making
4 Videos | 0 hrs 12 mins
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Chapter 13 : Repetition
7 Videos | 0 hrs 21 mins
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Chapter 14 : Functional Programming
5 Videos | 0 hrs 19 mins
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Chapter 15 : Statistics and Data Analysis
5 Videos | 0 hrs 21 mins
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Instructor
Ahmed Ibrahim
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Learn moreReviews
5
76 reviews
Average Course Rating
5 stars
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