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Data Science: R Programming For Data Science Complete Bootcamp

Autumn Flash Sale | 30-in-1 Bundle| CPD Certified | 300 CPD Points| Gifts: Hardcopy + PDF Certificate + SID (Worth 300)


Academy for Health & Fitness

Summary

Price
£149 inc VAT
Or £49.67/mo. for 3 months...
Study method
Online
Course format What's this?
Video
Duration
145 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
300 CPD hours / points
Certificates
  • CPD Accredited Digital certificate - Free
  • CPD Accredited Hard copy certificate - Free
  • R Programming for Data Science - Free
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

Add to basket or enquire

Overview

Flash Sale! Don't Let this Deals Slip Away – Enrol Now!

★★ FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter ★★

Looking to break into data science but unsure where to start? With roles in the UK growing by 37% annually and average salaries starting around £35,000, now is the perfect time to master R Programming. This bundle is tailored to equip you with the expertise UK employers are seeking in data-driven decision-making, making you a competitive candidate in this high-demand field.

This comprehensive bundle covers every essential skill, from R Programming for Data Science and SQL for Data Analytics to Machine Learning and Big Data Analytics. With courses like Statistics & Probability and Data Visualization with Power BI and MongoDB, you’ll gain a strong foundation for roles across industries.

With data-driven roles in the UK projected to increase over 30% in the next five years, this bundle prepares you to step confidently into positions in finance, healthcare, and tech. Whether you’re just starting out or aiming to enhance your current skillset, this course opens doors to the versatile, high-paying world of data science.

Courses Are Included In This Bundle:

  • ➽ Course 01: R Programming for Data Science
  • ➽ Course 02: Data Science & Machine Learning with R Training
  • ➽ Course 03: Data Science & Machine Learning with Python
  • ➽ Course 04: Learn MySQL from Scratch for Data Science and Analytics
  • ➽ Course 05: Python Data Science
  • ➽ Course 06: Python Data Science with Numpy, Pandas and Matplotlib
  • ➽ Course 07: SQL for Data Science, Data Analytics and Data Visualization
  • ➽ Course 08: Quick Data Science Approach from Scratch
  • ➽ Course 09: Statistics & Probability for Data Science & Machine Learning
  • ➽ Course 10: Understanding Data Protection and Data Security
  • ➽ Course 11: Big Data Analytics with PySpark Power BI and MongoDB
  • ➽ Course 12: AWS Certified Solutions Architect Associate
  • ➽ Course 13: Clinical Data Management with SAS Programming
  • ➽ Course 14: SQL Masterclass: SQL For Data Analytics
  • ➽ Course 15: SQL NoSQL Big Data and Hadoop
  • ➽ Course 16: Spatial Data Visualization and Machine Learning in Python
  • ➽ Course 17: Ultimate Python Programming Masterclass
  • ➽ Course 18: C# Programming – Beginner to Advanced
  • ➽ Course 19: C++ Programming for Absolute Beginners
  • ➽ Course 20: Diploma in Computer Programming
  • ➽ Course 21: Embedded C Programming
  • ➽ Course 22: Kotlin Programming: Android Coding Bible
  • ➽ Course 23: Mastering SQL Programming
  • ➽ Course 24: Secure Programming of Web Applications – Developers and TPMs
  • ➽ Course 25: Three.js & WebGL 3D Programming
  • ➽ Course 26: JavaScript Foundations for Everyone
  • ➽ Course 27: JavaScript Functions
  • ➽ Course 28: jQuery: JavaScript and AJAX Coding Bible
  • ➽ Course 29: Basic HTML 5
  • ➽ Course 30: Ultimate PHP & MySQL Web Development & OOP Coding

Learning Outcomes:

  • Build foundational knowledge in R Programming for Data Science and data visualisation.
  • Gain expertise in SQL, Python, and MySQL for analytics and database management.
  • Develop an understanding of Statistics & Probability for precise data analysis.
  • Learn Machine Learning and Big Data Analytics to prepare for advanced data science roles.

Why Choose this bundle?

  • Get a Free CPD Accredited Certificate upon completion of this course
  • Get a free student ID card with this Training program (£10 postal charge will be applicable for international delivery)
  • This course is affordable and simple to understand
  • This course is entirely online, interactive lesson with voiceover audio
  • Get Lifetime access to the course materials
  • This course comes with 24/7 tutor support

Certificates

CPD Accredited Digital certificate

Digital certificate - Included

Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free.

CPD Accredited Hard copy certificate

Hard copy certificate - Included

Upon completing the course, you'll receive a CPD-accredited certificate at no additional cost. If you wish to order extra copies, they can be purchased separately for just £14.99 each.

R Programming for Data Science

Hard copy certificate - Included

After successfully completing the R Programming for Data Science, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme.

CPD

300 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

Perfect for anyone eager to build a career in data science, this bootcamp provides a solid foundation in R Programming for Data Science and covers essential data science skills for a variety of industries.

★★★ Course Curriculum of Data Science: R Programming For Data Science Complete Bootcamp Bundle ★★★

➽ Course 01: R Programming for Data Science

  • Module 01: Data Science Overview
  • Module 02: R and RStudio
  • Module 03: Introduction to Basics
  • Module 04: Vectors
  • Module 05: Matrices
  • Module 06: Factors
  • Module 07: Data Frames
  • Module 08: Lists
  • Module 09: Relational Operators
  • Module 10: Logical Operators
  • Module 11: Conditional Statements
  • Module 12: Loops
  • Module 13: Functions
  • Module 14: R Packages
  • Module 15: The Apply Family - lapply
  • Module 16: The Apply Family – sapply & vapply
  • Module 17: Useful Functions
  • Module 18: Regular Expressions
  • Module 19: Dates and Times
  • Module 20: Getting and Cleaning Data
  • Module 21: Plotting Data in R
  • Module 22: Data Manipulation with dplyr

➽ Course 02: Data Science & Machine Learning with R Training

  • Module 01: Data Science and Machine Learning Course Intro
  • Module 02: Getting Started with R
  • Module 03: Data Types and Structures in R
  • Module 04: Intermediate R
  • Module 05: Data Manipulation in R
  • Module 06: Data Visualization in R
  • Module 07: Creating Reports with R Markdown
  • Module 08: Building Webapps with R Shiny
  • Module 09: Introduction to Machine Learning
  • Module 10: Starting a Career in Data Science

➽ Course 03: Data Science & Machine Learning with Python

  • Module 01: Course Overview & Table of Contents
  • Module 02: Introduction to Machine Learning - Part 1 - Concepts, Definitions, and Types
  • Module 03: Introduction to Machine Learning - Part 2 - Classifications and Applications
  • Module 04: System and Environment Preparation - Part 1
  • Module 05: System and Environment Preparation - Part 2
  • Module 06: Learn Basics of Python - Assignment
  • Module 07: Learn Basics of Python - Functions
  • Module 08: Learn Basics of Python - Data Structures
  • Module 09: Learn Basics of NumPy - NumPy Array
  • Module 10: Learn Basics of NumPy - NumPy Data
  • Module 11: Learn Basics of NumPy - NumPy Arithmetic
  • Module 12: Learn Basics of Matplotlib
  • Module 13: Learn Basics of Pandas - Part 1
  • Module 14: Learn Basics of Pandas - Part 2
  • Module 15: Understanding the CSV Data File
  • Module 16: Load and Read CSV Data File Using Python Standard Library
  • Module 17: Load and Read CSV Data File Using NumPy
  • Module 18: Load and Read CSV Data File Using Pandas
  • Module 19: Dataset Summary - Peek, Dimensions, and Data Types
  • Module 20: Dataset Summary - Class Distribution and Data Summary
  • Module 21: Dataset Summary - Explaining Correlation
  • Module 22: Dataset Summary - Explaining Skewness - Gaussian and Normal Curve
  • Module 23: Dataset Visualization - Using Histograms
  • Module 24: Dataset Visualization - Using Density Plots
  • Module 25: Dataset Visualization - Box and Whisker Plots
  • Module 26: Multivariate Dataset Visualization - Correlation Plots
  • Module 27: Multivariate Dataset Visualization - Scatter Plots
  • Module 28: Data Preparation (Pre-Processing) - Introduction
  • Module 29: Data Preparation - Re-scaling Data - Part 1
  • Module 30: Data Preparation - Re-scaling Data - Part 2

=========>>>>> And 27 More Courses <<<<<=========

How will I get my Certificate?

After successfully completing the course, you will be able to order your Certificates as proof of your achievement.

PDF Certificate: Free (Previously it was £12.99*11 = £143)

CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99)

Who is this course for?

This bundle is ideal for:

  • Students seeking mastery in this field
  • Professionals seeking to enhance their skills
  • Anyone who is passionate about this topic

Requirements

Our courses is compatible with PCs, Macs, laptops, tablets, and smartphones. Basic computer literacy and internet access are required to start your journey.

Career path

  • Data Scientist – £35,000 to £65,000 annually
  • Data Analyst specialising in R Programming for Data Science – £30,000 to £50,000 annually
  • Machine Learning Engineer – £40,000 to £75,000 annually
  • Big Data Specialist – £45,000 to £80,000 annually
  • Business Intelligence Analyst – £40,000 to £60,000 annually

Questions and answers

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FAQs

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