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Data Science: R Programming For Data Science Complete Bootcamp
SDE Arts | Octavo

R Data Science mastery for £29.95 (was £299.99)! 90% off + expert help. Limited time!

Summary

Price
£29.95 inc VAT
Study method
Online, On Demand
Duration
5.1 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free
Additional info
  • Tutor is available to students
599 students purchased this course

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AI Overview

AI generated content may contain mistakes

This comprehensive R programming course is designed to equip beginner R programmers, new developers, and data enthusiasts with the essential skills for data science and analysis. The course covers a wide range of R fundamentals, including the R working environment, syntax, data types, mathematical operations, string handling, logical operations, data structures, control flow, and functional programming.

Students will gain practical experience in applying R for statistical analysis, data visualization, and project development. The course emphasizes hands-on learning, with real-world examples and step-by-step explanations to reinforce the concepts.

This course is best suited for individuals new to R programming, including those with prior experience in other programming languages, as well as beginner data engineers, scientists, and analysts. No prior programming knowledge is required, as the course starts from the basics and progressively builds up the learner's skills.

Key features of the course include: - Comprehensive coverage of R programming fundamentals - Practical applications of R for data analysis and visualization - Instructor Q&A support for personalized guidance - Flexible, self-paced online delivery for maximum convenience

By the end of this course, learners will be equipped with a solid foundation in R programming, enabling them to embark on a career path in data science, analytics, or related fields.

Overview

Hello and Welcome to the exciting world of the R programming language.

# Data Science: The R Programming For Data Science Complete Bootcamp 2024

R is one of the most powerful programming languages, for statistical computing and graphical presentation to analyze and visualize data.

In this course, I’m going to show you 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.

The best part? Every single topic and tool in this course will be explained theoretically and practically with real examples step by step.

What you'll learn

  • The R working tools and environment for professionals

  • The R syntax and how to explain and describe the code using comments

  • Variables, Values and assignments

  • All the Data types available in R

  • Performing mathematical operations, type conversion built-in functions and many useful built-in functions for math operations

  • Working with collection of characters and strings in R, also essential character operations

  • Logical values and booleans

  • 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

  • Repeat block of code and iterate over collections with loops

  • Functional programming and code reusing

  • Statistics and data analysis concepts: datasets, many built-in functions, techniques and tools for statistical operations

  • Data visualizations and Graphics in R: drawing points, line plotting, pie charts, bar charts, histograms and more

  • Get the instructor QA Support

# Reviews about this course

★★★★★ "easy to understand, teaching good."

★★★★★ "It’s really good. I’m just pumped to learn as much as I can"

Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

16
sections
96
lectures
5h 8m
total

    • 1: Intro to course 04:03
    • 2: Downloading and Installing R 05:05
    • 3: Downloading and Installing the RStudio IDE 06:04
    • 4: Setup working directory 01:08

    • 5: Variables in detail 1 03:00
    • 6: Variables in detail 2 03:57
    • 7: Variables in detail 3 03:21
    • 8: Variables in detail 4 02:45
    • 9: Data Types 1 02:44
    • 10: Data Types 2 03:17
    • 11: Data Types 3 02:41
    • 12: Code hints 02:11

    • 13: Type of numbers 08:12
    • 14: Type Conversion 07:36
    • 15: Math operations 09:10

    • 16: Strings 1 03:30
    • 17: Strings 2 02:49
    • 18: Strings 3 03:06
    • 19: Strings 4 01:37
    • 20: Strings 5 01:52
    • 21: Strings 6 01:13
    • 22: Strings 7 02:34

    • 23: Logical values 1 01:19
    • 24: Logical values 2 04:11
    • 25: Operators 1 01:46
    • 26: Operators 2 03:34
    • 27: Operators 3 02:15
    • 28: Operators 4 02:23
    • 29: Operators 5 03:28

    • 30: Vectors 1 01:32
    • 31: Vectors 2 03:29
    • 32: Vectors 3 03:21
    • 33: Vectors 4 03:17
    • 34: Vectors 5 04:17
    • 35: Vectors 6 02:54
    • 36: Vectors 7 01:55

    • 37: Lists 1 02:44
    • 38: Lists 2 04:27
    • 39: Lists 3 04:54
    • 40: Lists 4 04:40

    • 41: DS - Matrices 1 01:19
    • 42: DS - Matrices 2 03:27
    • 43: DS - Matrices 3 04:54
    • 44: DS - Matrices 4 06:54
    • 45: DS - Matrices 5 02:03

    • 46: DS - Arrays 1 00:50
    • 47: DS - Arrays 2 02:00
    • 48: DS - Arrays 3 01:56
    • 49: DS - Arrays 4 03:35
    • 50: DS - Arrays 5 03:52

    • 51: DS - Data Frame 1 01:36
    • 52: DS - Data Frame 2 03:05
    • 53: DS - Data Frame 3 02:36
    • 54: DS - Data Frame 4 05:06
    • 55: DS - Data Frame 5 02:55
    • 56: DS - Data Frame 6 03:02

    • 57: DS - Factors 1 01:16
    • 58: DS - Factors 2 05:33
    • 59: DS - Factors 3 02:24
    • 60: DS - Factors 4 03:41

    • 61: Conditional statements 1 02:18
    • 62: Conditional statements 2 03:29
    • 63: Conditional statements 3 02:28
    • 64: Conditional statements 4 03:47

    • 65: While loop 1 01:47
    • 66: While loop 2 03:47
    • 67: While loop 3 02:54
    • 68: For loop 1 01:22
    • 69: For loop 2 02:31
    • 70: For loop 3 05:37
    • 71: For loop 4 02:19

    • 72: Functions 1 01:11
    • 73: Functions 2 03:08
    • 74: Functions 3 05:21
    • 75: Functions 4 02:58
    • 76: Functions 5 05:47

    • 77: Statistics and data analysis 1 01:53
    • 78: Statistics and data analysis 2 08:27
    • 79: Statistics and data analysis 3 03:42
    • 80: Statistics and data analysis 4 03:42
    • 81: Statistics and data analysis 5 02:37

    • 82: Plotting in R 1 00:37
    • 83: Plotting in R 2 04:52
    • 84: Plotting in R 3 03:25
    • 85: Plotting in R 4 01:57
    • 86: Lines 1 00:44
    • 87: Lines 2 03:21
    • 88: Lines 3 03:15
    • 89: Pie Charts 1 00:32
    • 90: Pie Charts 2 02:57
    • 91: Pie Charts 3 05:03
    • 92: bars and histograms 1 01:11
    • 93: bars and histograms 2 02:05
    • 94: bars and histograms 3 01:34
    • 95: bars and histograms 4 02:00
    • 96: bars and histograms 5 02:22

Course media

Description

This course will cover all the R fundamentals needed such as:

  • The R working tools and environment for professionals

  • The R syntax and how to explain and describe the code using comments

  • Variables, Values and assignments

  • All the Data types available in R.

  • Performing mathematical operations, type conversion built-in functions and many useful built-in functions for math operations.

  • Working with collection of characters and strings in R, also essential character operations

  • Logical values and Booleans.

  • 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.

  • Repeat block of code and iterate over collections with loops.

  • Functional programming and code reusing.

  • Statistics and data analysis concepts: datasets, many built-in functions, techniques and tools for statistical operations.

  • Graphics and data visualizations in R: drawing points, line plotting, pie charts, bar charts, histograms and more.

You will learn and understand all these concepts and more.

R is free open source, and very widely used by professional statisticians and data scientists.

It is also very popular in certain application areas, including bioinformatics. R is a dynamically typed interpreted language, and is typically used interactively. It has many built-in functions and libraries, and is extensible, allowing users to define their own functions and procedures using R, C or Fortran. It also has a simple object system. So, it's really powerful!

So, what are you waiting for, enroll now to go through a complete bootcamp of one of the most popular and powerful programming languages on the market for , R.

Become A Professional R Programmer and Data Scientist in no time!

Let's get started

Who is this course for?

  • Beginner R Programmers
  • New developers and Engineers
  • Programming and software development engineering newbies
  • Developers and Engineers who know other programming language but are new to R
  • Developers curious about Learning R for data science
  • Beginner Data Engineers/Scientists

Requirements

  • No programming experience needed. You'll learn everything you need to know.

  • Desire to learn R programming.

Career path

  1. Data Science Foundations
  2. Math and Statistics
  3. R Programming for Data Analysis and Data Visualization
  4. Building Projects with R
  • The average annual pay for a R Programmer is $90,940 a year.
  • The average annual pay for a R Developer is $130,327 a year.
  • The average annual pay for a Remote R Programmer is $90,665 a year.
  • The average annual pay for a Data Analyst Programmer is $79,345 a year.

Questions and answers

No questions or answers found containing ''.

Wesley asked:

When I buy this course, how long duration have I until it expires, will it expire after 6 months?

Answer:

It is available to you for life. Once you buy this course, it becomes yours for life(Life time access) and you can follow it and learn anytime you want.

This was helpful. Thank you for your feedback.
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Reviews

4.8
Course rating
97%
Service
97%
Content
97%
Value

Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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