R Programming | Free Certification Course

 Free premium Certificate Course:R Programming | Free Certification Course



Portrayal: 


1. Fundamentals of R Language 

Introduction to R 

History of R 

Why R programming Language 

Relationship among R and Python 

Utilization of R 

2. Course of action of R Language 

Close by Environment course of action 

Presenting R on Windows 

Presenting R on Linux 

RStudio 

What is RStudio? 

Foundation of RStudio 

First Program - Hello World 

3. Variables and Data Types 

Elements in R 

Attestation of variable 

Variable undertaking 

Finding variable 

Data types in R 

Data type change 

R programs for Variables and Data types in RStudio 

4. Data Output Features in R 

channel() work 

readline() work 

stick() work 

paste0() work 

cat() work 

R Programs for executing these limits in RStudio 

5. Overseers in R 

Number shuffling Operators 

Social Operators 

Reasonable Operators 

Undertaking Operators 

Different Operators 

R Programs to perform various assignments using overseers in RStudio 

6. Data Structure in R (part-I) 

What is data structure? 

Kinds of data structure 

Vector 

- What is a vector in R? 

- Creating a vector 

- Accessing part of vector 

- Some more technique on vectors 

- R Programs for vectors in RStudio 

Utilization of Vector in R 

Summary 

- What is a summary in R? 

- Creating a once-over 

- Accessing part of overview 

- Modifying part of overview 

- Some more technique on list 

R Programs for list in RStudio 

7. Data Structure in R (part-II) 

Grid or Matrices 

- What is grid in R? 

- Creating a grid 

- Accessing part of cross section 

- Modifying part of cross section 

- Matrix Operations 

R Programs for grids in RStudio 

Use of Matrices in R 

Groups 

- What are groups in R? 

- Creating a group 

- Naming lines and areas 

- Accessing part of a bunch 

- Some more technique on bunches 

R Programs for groups in RStudio 

8. Data Structure in R (part-III) 

Data diagram 

- What is a data diagram in R? 

- Creating a data diagram 

- Accessing part of data plot 

- Modifying part of data plot 

- Add the new part or fragment in data layout 

- Deleting part of data plot 

- Some more technique on data plot 

R Programs for data diagram in RStudio 

Parts 

- Factors in R 

- Creating a factor 

- Accessing segment of factor 

- Modifying segment of factor 

R Programs for Factors in RStudio 

Utilization of Factors in R 

9. Dynamic in R 

Preamble to Decision making 

Kinds of dynamic decrees 

Introduction, etymological structure, flowchart and tasks for 

- if clarification 

- if… else clarification 

- if… else if… else clarification 

- switch clarification 

10. Hover control in R 

Preamble to hovers in R 

Sorts of circles in R 

- for circle 

- while circle 

- reiterate circle 

- settled circle 

break and next verbalization in R 

Introduction, sentence structure, flowchart and tasks for 

- for circle 

- while circle 

- repeat circle 

- settled circle 

11. Limits in R 

Preface to work in R 

Worked in Function 

Customer described Function 

Making a Function 

Limit Components 

Calling a Function 

Recursive Function 

Various tasks for limits in RStudio 

12. Strings in R 

Preamble to string in R 

- Rules to create R Strings 

- Concatenate at any rate two strings in R 

- Find length of String in R 

- Extract Substring from a String in R 

- Changing the case for instance Upper to cut down case and lower to promoted 

Various ventures for String in RStudio 

13. Packs in R 

Preamble to Packages in R 

Get the summary of the significant number of groups presented in RStudio 

Foundation of the packs 

The best strategy to use the packs in R 

Accommodating R Packages for Data Science 

R program for pack in RStudio 

14. Data and File Management in R 

Getting and Setting the Working Directory 

Commitment as CSV File 

Exploring the CSV File 

Creating into a CSV File 

R undertakings to execute CSV record 

15. Plotting in R (Part-I) 

Line outline 

Scatterplots 

Pie Charts 

3D Pie Chart 

16. Plotting in R (Part-II) 

Bar/line outline 

Histogram 

Box plot 

Who this course is for: 

R Developers and Data Developers 

Data Scientists - R, Python 

Beginners and students longing for an occupation in programming and quantifiable examination 

Data Engineers and Statistical Analysts 

R and Python Programmers 

Particular and Analytics Consultants 

Anyone wishing to learn data science and AI 

Lead R Developers 

R Modeling Analysts 

Data Software Developers 

Budgetary and Marketing Analysts 

Programming Engineers 

Web Application Developers 

Business Analysts and Consultants 

Data Science and Machine Learning fans

HOW TO APPLY FOR FREE CERTIFICATE COURSE:
  1. Login on Udemy

  2. Reach the page TAP HERE FOR FREE COURSE

  3. Apply Coupon Code: R_PROG_UPLATZ

**Note: Free coupon/offer may expire soon.**


Comments

Popular posts from this blog

8 Best Blogging Tools for Beginners