Data Science and Machine Learning with R Programming

Take your abilities to the next level with our industry-standard and profession-aligned Data Science and Machine Learning with R Programming courses. This Data Science and Machine Learning with R Programming course was created using sophisticated resources by our expert mentors. Enroll in this Data Science and Machine Learning with R Programming course if you want to learn everything there is to know about Data Science and Machine Learning with R Programming and improve your dream profession abilities.

Our instructor presents the techniques and frameworks that assist learners to accomplish the necessary subject matters in this Data Science and Machine Learning with R Programming course. The complete Data Science and Machine Learning with R Programming course is jam-packed with all of the required insights and examples from both the theoretical and practical elements of the linked subject; also, this Data Science and Machine Learning with R Programming course is made for any creative learner who requires it.

You'll have access to well-known academics and industry figures, as well as a varied and professional cohort and all of the premium features, such as interactive classes, qualified and moderated examinations, podcasts, PDF books, and other high-engagement distance learning activities.

Furthermore, you can work with a diverse group of students from all around the world to tackle real-world challenges. This Data Science and Machine Learning with R Programming course can help you improve your skills and put what you've learned to the test.

Why Pykinile?

• We provide a large selection of courses, including multi-language courses, diploma programmes, crash courses, professional development programmes, and non-credit-based academic courses, in addition to this Data Science and Machine Learning with R Programming course.
• With a customisable and self-paced study schedule, this Data Science and Machine Learning with R Programming course offers a whole unique learning experience.
• This Data Science and Machine Learning with R Programming is a cost-effective and high-quality course with a flexible refund policy.
• Pykinile ensures that both former and current experts provide expert instruction. On our platform, you will receive the best education, tips, and tricks from industry experts.
• This Data Science and Machine Learning with R Programming course provides an outstanding learning experience with access from any device at any time.
• You can learn Data Science and Machine Learning with R Programming at your own pace; you determine how quickly you want to learn. We ensure comprehensive care and quality guidelines when it comes to professional courses.
• The Data Science and Machine Learning with R Programming course was developed to meet UK and EU standards.

Reed courses certificate of completion

Digital certificate - Included

• DS and ML from A-Z Course Intro 35:41

  • 1: Data Science ML Course Intro Preview 02:30
  • 2: What is data science 09:47
  • 3: Machine Learning Overview 05:26
  • 4: Whos this course is for 1 02:57
  • 5: DL and ML Marketplace 1 04:38
  • 6: Data Science and ML Job opps 02:36
  • 7: Data Science Job Roles 04:04
  • 8: DS+ML course Sales VIdeo 03:43

• Getting Started with R 44:49

  • 9: Getting Started 10:58
  • 10: Basics 06:24
  • 11: Files 11:08
  • 12: RStudio 06:58
  • 13: Tidyverse 05:19
  • 14: Resources 04:02

• Data Types and Structures in R 5:01:48

  • 15: Section Introduction 30:03
  • 16: Basic Types 08:46
  • 17: Vectors Part One 19:40
  • 18: Vectors Part Two 24:51
  • 19: Vectors - Missing Values 15:35
  • 20: Vectors - Coercion 14:06
  • 21: Vectors - Naming 10:15
  • 22: Vectors - Misc 05:59
  • 23: Creating Matrices 31:27
  • 24: Lists 31:41
  • 25: Introduction to Data Frames 19:20
  • 26: Creating Data Frames 19:50
  • 27: Data Frames_Helper Functions 31:12
  • 28: Data Frames - Tibbles 39:03

• Intermediate R 4:14:03

  • 29: Section Introduction Intermediate R 46:31
  • 30: Relational Operations 11:06
  • 31: Logical Operators 07:04
  • 32: Conditoinal Statements 11:19
  • 33: Loops 07:56
  • 34: Functions 14:19
  • 35: Packages 11:29
  • 36: Factors 28:14
  • 37: Dates and Times 30:10
  • 38: Functional Programming 36:41
  • 39: Data Import or Export 22:06
  • 40: Database 27:08

• Data Manipulation in R 5:39:51

  • 41: Data Manipulation in R Section Introduction 36:29
  • 42: Tidy Data 10:53
  • 43: The Pipe Operator 14:50
  • 44: The Filter Verb 21:34
  • 45: The Select Verb 46:03
  • 46: The Mutate Verb 31:56
  • 47: The Arrange Verb 10:03
  • 48: The Summarize Verb 23:05
  • 49: Data Pivoting 42:41
  • 50: JSON Parsing 10:46
  • 51: String Manipulation 32:38
  • 52: Web Scraping 58:53

• Data Visualization in R 2:24:25

  • 53: Data Visualization in R Section Introduction 17:12
  • 54: Getting Started 15:37
  • 55: Aesthetics Mappings 24:44
  • 56: Single Variables Plot 36:50
  • 57: Two Varible Plots 20:33
  • 58: Facets Layering and Coordinate System 17:56
  • 59: Styling and Saving 11:33

• Creating Reports with R Markdown 28:54

  • 60: Creating Reports with R Markdown 28:54

• Building Webapps with R Shiny 1:31:28

  • 61: Section-Introduction-With-R-Shiny 26:05
  • 62: A Basic App 31:18
  • 63: Other Examples 34:05

• Introduction to Machine Learning 1:08:33

  • 64: Intro to Machine Learning - Part 1 21:48
  • 65: Intro to Machine Learning - Part 2 46:45

• Data Preprocessing 1:04:50

  • 66: Data Preprocessing 37:47
  • 67: Introduction to Data Preprocessing 27:03

• Linear Regression_ A Simple Model 1:18:13

  • 68: Linear Regression A Simple Model 53:04
  • 69: LR Section Introduction 25:09

• Exploratory Data Analysis 1:28:00

  • 70: Hands-on Exploratory Data Analysis 1:02:57
  • 71: Section Introduction EDA 25:03

• Linear Regression A Real Model 1:24:52

  • 72: Linear Regression Real Model Section Intro 32:04
  • 73: Linear Regression in R real model 52:48

• Logistic Regression 1:17:25

  • 74: Introduction to Logistic Regression 37:48
  • 75: Logistic Regression in R 39:37

• Starting A Career in Data Science 29:37

  • 76: Starting a Career in Data Science 02:54
  • 77: Data Science Resume 03:42
  • 78: Getting Started with Freelancing 04:44
  • 79: Top Freelancing Websites 05:18
  • 80: Personal Branding 05:27
  • 81: Importance of Website and Blog 03:42
  • 82: Networking dos and donts 03:50

With the help and knowledge of industry leaders, the innovative Data Science and Machine Learning with R Programming was created. This Data Science and Machine Learning with R Programming course has been meticulously designed to meet all of the learning criteria for making a significant contribution to the associated sector and beyond. Enrolling in this Data Science and Machine Learning with R Programming course will give the student with vital knowledge and abilities for achieving their desired job and building a strong personal and professional reputation.

This online course was created to help motivated students become the best in their personal and professional sectors. Many students have completed and enjoyed this Data Science and Machine Learning with R Programming course. This Data Science and Machine Learning with R Programming course gave them the confidence they needed to pursue occupations that were both meaningful and rewarding. This one-of-a-kind Data Science and Machine Learning with R Programming course is excellent for devoted and ambitious learners who want to excel at their career or profession.

The Data Science and Machine Learning with R Programming is planned and developed in accordance with international standards, ensuring that all materials are authentic and respectable, hence enhancing valuable skills. Furthermore, this Data Science and Machine Learning with R Programming course will enhance your CV and help you stand out from other possible applicants or business competitors. The Data Science and Machine Learning with R Programming was created in such a way that learners can do it at any time and in any location. Most significantly, our final assessment, the certificate of completion, will certify your newly gained skills and knowledge, allowing you to enter a competitive job market.

We understand that a student's lifestyle and work pressure may prevent them from dedicating time to study, thus the Data Science and Machine Learning with R Programming has been designed to be completed at a pace and in the hours that are most convenient for each learner. After enrolling, you will have immediate access to the Data Science and Machine Learning with R Programming course. This Data Science and Machine Learning with R Programming course can be accessed from any internet-connected device and from anywhere in the world where you are sighted.

After enrolling in this Data Science and Machine Learning with R Programming course, you can use our tutor assistance to help you with any questions you may have, which you can send to our learner support staff via email. This top online course in Data Science and Machine Learning with R Programming was created by specialists for the future-focused professional and will offer learners with the tools and frameworks they need to lead effectively in a fast changing environment. Take the Data Science and Machine Learning with R Programming course right now to advance your skills.

Curriculum for the course: Data Science and Machine Learning with R Programming

Here is a curriculum breakdown of the Data Science and Machine Learning with R Programming course:

1 - DS and ML from A-Z Course Intro

1 - Data Science ML Course Intro

2 - What is data science

3 - Machine Learning Overview

4 - Whos this course is for

5 - DL and ML Marketplace

6 - Data Science and ML Job opps

7 - Data Science Job Roles

8 - DS+ML course Sales VIdeo

2 - Getting Started with R

9 - Getting Started

10 - Basics

11 - Files

12 - RStudio

13 - Tidyverse

14 - Resources

3 - Data Types and Structures in R

15 - Section Introduction

16 - Basic Types

17 - Vectors Part One

18 - Vectors Part Two

19 - Vectors - Missing Values

20 - Vectors - Coercion

21 - Vectors - Naming

22 - Vectors - Misc

23 - Creating Matrices

24 - Lists

25 - Introduction to Data Frames

26 - Creating Data Frames

27 - Data Frames_Helper Functions

28 - Data Frames - Tibbles

4 - Intermediate R

29 - Section Introduction Intermediate R

30 - Relational Operations

31 - Logical Operators

32 - Conditoinal Statements

33 - Loops

34 - Functions

35 - Packages

36 - Factors

37 - Dates and Times

38 - Functional Programming

39 - Data Import or Export

40 - Database

5 - Data Manipulation in R

41 - Data Manipulation in R Section Introduction

42 - Tidy Data

43 - The Pipe Operator

44 - The Filter Verb

45 - The Select Verb

46 - The Mutate Verb

47 - The Arrange Verb

48 - The Summarize Verb

49 - Data Pivoting

50 - JSON Parsing

51 - String Manipulation

52 - Web Scraping

6 - Data Visualization in R

53 - Data Visualization in R Section Introduction

54 - Getting Started

55 - Aesthetics Mappings

56 - Single Variables Plot

57 - Two Varible Plots

58 - Facets Layering and Coordinate System

59 - Styling and Saving

7 - Creating Reports with R Markdown

60 - Creating Reports with R Markdown

8 - Building Webapps with R Shiny

61 - Section-Introduction-With-R-Shiny

62 - A Basic App

63 - Other Examples

9 - Introduction to Machine Learning

64 - Intro to Machine Learning - Part 1

65 - Intro to Machine Learning - Part 2

10 - Data Preprocessing

66 - Data Preprocessing

67 - Introduction to Data Preprocessing

11 - Linear Regression_ A Simple Model

68 - Linear Regression A Simple Model

69 - LR Section Introduction

12 - Exploratory Data Analysis

70 - Hands-on Exploratory Data Analysis

71 - Section Introduction EDA

13 - Linear Regression A Real Model

72 - Linear Regression Real Model Section Intro

73 - Linear Regression in R real model

14 - Logistic Regression

74 - Introduction to Logistic Regression

75 - Logistic Regression in R

15 - Starting A Career in Data Science

76 - Starting a Career in Data Science

77 - Data Science Resume

78 - Getting Started with Freelancing

79 - Top Freelancing Websites

80 - Personal Branding

81 - Importance of Website and Blog

82 - Networking dos and donts

Certificate

You will receive a FREE instantly downloadable certificate for course completion once you have completed the Data Science and Machine Learning with R Programming course. You will also be able to request a certificate from Pykinile as well. All of our certificates are available in PDF and print formats, with FREE Shipping in the United Kingdom.

The Data Science and Machine Learning with R Programming training course is ideal for highly driven students who want to improve their personal and professional skills as well as prepare for the career of their dreams! This Data Science and Machine Learning with R Programming course is also suitable for people who want to learn more about this subject and appreciate staying up to date on the newest news and information.

Enroll today in the Data Science and Machine Learning with R Programming course and advance your professional abilities from the convenience of your own home!

To enrol in this course, there are no formal requirements. Any eager learner who meets the age requirements is welcome to join us.

• Anyone who is eager to study is eligible.
• Any smart device that has access to the internet, such as a smartphone, tablet, laptop, or desktop computer.

Studying the Data Science and Machine Learning with R Programming course is designed to help you get the skills, knowledge, and the job of your dreams, or even if it is about your

desired promotion! Learn the essential skills and knowledge you need to exceed in your professional life with the help & guidance from our Data Science and Machine Learning with R Programming course.

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