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R (programming language)

R Programming A-Z™: R For Data Science With Real Exercises!

R Programming A-Z™: R For Data Science With Real Exercises!

Loại khoá học: Other IT & Software

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

50.000 VND

140 VND

Đầy Đủ Bài Giảng

Học Online Tiện Lợi

Kích Hoạt Nhanh 2-5 Phút

Thanh toán tự động

Được phép tải xuống

Mô tả

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can't wait to see you in class,

What you will learn:

Learn how to use R Studio
Learn the core principles of programming
Learn how to create vectors in R
Learn how to create variables
Learn about integer, double, logical, character, and other types in R
Learn how to create a while() loop and a for() loop in R
Learn how to build and use matrices in R
Learn the matrix() function, learn rbind() and cbind()
Learn how to install packages in R

Sincerely,

Kirill Eremenko

Bạn sẽ học được gì

Learn to program in R at a good level

Learn how to use R Studio

Learn the core principles of programming

Learn how to create vectors in R

Learn how to create variables

Learn about integer, double, logical, character and other types in R

Learn how to create a while() loop and a for() loop in R

Learn how to build and use matrices in R

Learn the matrix() function, learn rbind() and cbind()

Learn how to install packages in R

Learn how to customize R studio to suit your preferences

Understand the Law of Large Numbers

Understand the Normal distribution

Practice working with statistical data in R

Practice working with financial data in R

Practice working with sports data in R

Yêu cầu

No prior knowledge or experience needed. Only a passion to be successful!

Nội dung khoá học

9 sections

Hit The Ground Running

6 lectures

Welcome Challenge!

02:07

Welcome to the R Programming Course!

05:46

Installing R and R Studio (MAC & Windows)

07:02

Exercise - Get Excited!

07:58

Get the Datasets here

00:05

Extra Resources

00:13

Core Programming Principles

11 lectures

Welcome to this section. This is what you will learn!

01:11

Types of variables

10:10

Using Variables

10:23

Logical Variables and Operators

07:42

The "While" Loop

07:33

Using the console

04:04

The "For" Loop

05:29

The "If" statement

12:15

Section Recap

05:22

HOMEWORK: Law of Large Numbers

15:13

Core Programming Principles

5 questions

Fundamentals Of R

11 lectures

Welcome to this section. This is what you will learn!

01:04

What is a Vector?

04:17

Let's create some vectors

13:12

Using the [] brackets

10:31

Vectorized operations

05:49

The power of vectorized operations

16:22

Functions in R

17:58

Packages in R

09:19

Section Recap

06:19

HOMEWORK: Financial Statement Analysis

07:42

Fundamentals of R

5 questions

Matrices

15 lectures

Welcome to this section. This is what you will learn!

00:52

Project Brief: Basketball Trends

09:22

Matrices

06:30

Building Your First Matrix

13:41

Naming Dimensions

03:34

Colnames() and Rownames()

10:02

Matrix Operations

06:12

Visualizing With Matplot()

11:42

Subsetting

09:20

Visualizing Subsets

04:13

Creating Your First Function

08:47

Basketball Insights

12:38

Section Recap

06:04

HOMEWORK: Basketball Free Throws

07:13

Matrices

5 questions

Data Frames

15 lectures

Welcome to this section. This is what you will learn!

01:47

Project Brief: Demographic Analysis

04:16

Importing data into R

05:52

Exploring your dataset

10:18

Using the $ sign

06:23

Basic operations with a Data Frame

09:47

Filtering a Data Frame

09:04

Introduction to qplot

09:09

Visualizing With Qplot: Part I

06:22

Building Dataframes

10:02

Merging Data Frames

07:38

Visualizing With Qplot: Part II

06:50

Section Recap

07:19

HOMEWORK: World Trends

06:16

Data Frames

5 questions

Advanced Visualization With GGPlot2

17 lectures

Welcome to this section. This is what you will learn!

01:23

Project Brief: Movie Ratings

04:02

Grammar Of Graphics - GGPlot2

11:26

What is a Factor?

07:13

Aesthetics

06:54

Plotting With Layers

05:18

Overriding Aesthetics

07:49

Mapping vs Setting

08:09

Histograms and Density Charts

07:08

Starting Layer Tips

08:41

Statistical Transformations

10:38

Using Facets

09:30

Coordinates

10:28

Perfecting By Adding Themes

11:04

Section Recap

09:50

HOMEWORK: Movie Domestic % Gross

07:05

Advanced Visualization With GGPlot2

5 questions

Homework Solutions

7 lectures

Homework Solution Section 2: Law Of Large Numbers

12:01

Homework Solution Section 3: Financial Statement Analysis

18:35

Homework Solution Section 4: Basketball Free Throws

16:11

Homework Solution Section 5: World Trends

16:30

Homework Solution Section 6: Movie Domestic % Gross (Part 1)

11:41

Homework Solution Section 6: Movie Domestic % Gross (Part 2)

11:09

THANK YOU Video

02:40

Special Offer

1 lectures

BoxPlots

13:32

Congratulations!! Don't forget your Prize :)

2 lectures

Huge Congrats for completing the challenge!

01:23

Bonus: How To UNLOCK Top Salaries (Live Training)

00:44

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