Data Science & Machine Learning with R Complete Training

This Data Science & Machine Learning with R Complete Training Course is designed to provide you with knowledge to ensure a high standard of learning about Data Science. The course is crafted specially for distance learning. We divided our courses into smaller easily digestible modules, so that you can maintain attention throughout the course. SkillArts is duty bound to provide you with top level elearning, produced and maintained by industry experts.

Learning Outcome of this Data Science & Machine Learning with R Complete Training Course:

• Analyse Data Science processes: data cleaning, processing, wrangling.
• Apply R for data tasks: cleaning, analysis, and visualization.
• Create advanced R programs for real industry scenarios.
• Craft an effective data scientist resume.
• Examine Machine Learning applications in Data Science.
• Evaluate Tidyverse, Operators, Vectors, Lists in Data Science.
• Employ data extraction and scraping techniques.

Reed Courses Certificate of Completion

Digital certificate - Included

• Data Science & Machine Learning with R: Promo 03:43

  • 1: Data Science: Promo VIdeo 03:43

• Introduction to Data Science +ML with R from A-Z 31:58

  • 2: Data Science: Intro 02:30
  • 3: Data Science: What is data science 09:47
  • 4: Data Science: Machine Learning Overview1 05:26
  • 5: Data Science: Whos this course is for1 02:57
  • 6: Data Science: DL and ML Marketplace 04:38
  • 7: Data Science: Job opps 02:36
  • 8: Data Science: Job Roles 04:04

• Getting Started with R 45:49

  • 9: Data Science: Getting Started 10:58
  • 10: Data Science: Basics 06:24
  • 11: Data Science: Files 11:08
  • 12: Data Science: R Studio 06:58
  • 13: Data Science: Tidy verse 05:19
  • 14: Data Science: Resources 04:02
  • 15: Care for a feedback? 01:00

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

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

• Intermediate R 4:14:03

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

• Data Manipulation in R 5:39:51

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

• Data Visualization in R 2:24:25

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

• Creating Reports with R Markdown 28:54

  • 61: Data Science: Creating-Reports-with-R-Markdown 28:54

• Building Webapps with R Shiny 1:31:28

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

• Introduction to Machine Learning 1:08:33

  • 65: Data Science: Intro to Machine Learning - Part 1 21:48
  • 66: Data Science: Intro to Machine Learning - Part 2 46:45

• Data Preprocessing 1:04:50

  • 67: Data Science: Data Preprocessing 37:47
  • 68: Data Science: Introduction to Data Preprocessing 27:03

• Linear Regression: A Simple Model 1:18:13

  • 69: Data Science: Linear Regression A Simple Model 53:04
  • 70: Data Science: LR Section Introduction 25:09

• Exploratory Data Analysis 1:28:00

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

• Linear Regression: A Real Model 1:24:52

  • 73: Data Science: Linear Regression - Real Model Section Intro 32:04
  • 74: Data Science: Linear Regression in R - real model 52:48

• Logistic Regression 1:17:25

  • 75: Data Science: Introduction to Logistic Regression 37:48
  • 76: Data Science: Logistic Regression in R 39:37

• Starting a Career in Data Science 30:37

  • 77: Data Science: Starting a Career in Data Science1 02:54
  • 78: Data Science: Data Science Resume1 03:42
  • 79: Data Science: Getting Started with Freelancing1 04:44
  • 80: Data Science: Top Freelancing Websites1 05:18
  • 81: Data Science: Personal Branding 05:27
  • 82: Data Science: Importance of Website and Blog1 03:42
  • 83: Data Science: Networking dos and donts1 03:50
  • 84: Thank You ! 01:00

• Data Science and Machine Learning with R: Final Exam 02:00

  • 85: Data Science and Machine Learning with R: Final Exam 02:00

Embark on a transformative journey into the realm of data science with our comprehensive course, "Data Science & Machine Learning with R Complete Training." Unlock the power of data through expert training, covering fundamental data types and structures in R. Master the art of data manipulation and visualization in R, essential skills for insightful analysis. Delve into the creation of dynamic web applications with R Shiny, enhancing your data representation. Explore data preprocessing techniques that refine your datasets for accurate analysis. Dive into real-world applications with linear regression, gaining hands-on experience. Our expert-led program equips you with essential techniques to excel in data science.

The Data Science Online Course is an industrial standard e-learning course. We've separated the course into multiple easily digestible modules, covering all essential elements of Data Science. Is there anything else included in this Data Science course package?

• We're a UK-based Training Provider accredited by CPD Group and registered with UKRLP.

• Study at your own pace from any device in our modern learning environment.

• Our exams test your knowledge and help you refine your skills on Data Science.

• You can get the PDF certificates from this Data Science for free!

• Most importantly, we will aid you in adapting to the updated industry compliance and practices regarding Data Science.

• Support is available for any questions you might have regarding any course content, not just Data Science.

Enrol now to immerse yourself in the world of impactful "Data Science." Don't miss this opportunity to become a data science expert through our comprehensive course. Join us to unlock your potential for profound insights, predictive analytics, and transformative decision-making through the power of data.

There are no hidden fees, no sudden exam charges, and no other kind of unexpected payments.

The purpose of this Data Science is to assist learners in moving forward in their personal and professional lives.

This Data Science Training does not have any prerequisites or formal requirements.

This Data Science Masterclass can help you excel in your career in various ways.

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