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Data Science & Machine Learning with R
( 6 Reviews )
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Data Science and Machine Learning Introduction 00:03:00 -
What is Data Science 00:10:00
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Machine Learning Overview 00:05:00
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Who is This Course for 00:03:00
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Data Science and Machine Learning Marketplace 00:05:00
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Data Science and Machine Learning Job Opportunities 00:03:00
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Getting Started 00:11:00
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Basics 00:06:00
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Files 00:11:00
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RStudio 00:07:00
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Tidyverse 00:05:00
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Resources 00:04:00
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Unit Introduction 00:30:00
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Basic Type 00:09:00
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Vector Part One 00:20:00
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Vectors Part Two 00:25:00
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Vectors – Missing Values 00:16:00
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Vectors – Coercion 00:14:00
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Vectors – Naming 00:10:00
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Vectors – Misc 00:06:00
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Creating Matrics 00:31:00
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List 00:32:00
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Introduction to Data Frames 00:19:00
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Creating Data Frames 00:20:00
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Data Frames: Helper Functions 00:31:00
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Data Frames Tibbles 00:39:00
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Intermediate Introduction 00:47:00
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Relational Operations 00:11:00
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Conditional Statements 00:11:00
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Loops 00:08:00
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Functions 00:14:00
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Packages 00:11:00
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Factors 00:28:00
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Dates and Times 00:30:00
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Functional Programming 00:37:00
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Data Import or Export 00:22:00
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Database 00:27:00
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Data Manipulation in R Introduction 00:36:00
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Tidy Data 00:11:00
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The Pipe Operator 00:15:00
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The Filter Verb 00:22:00
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The Select Verb 00:46:00
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The Mutate Verb 00:32:00
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The Arrange Verb 00:10:00
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The Summarize Verb 00:23:00
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Data Pivoting 00:43:00
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JSON Parsing 00:11:00
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String Manipulation 00:33:00
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Web Scraping 00:59:00
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Data Visualization in R Section Intro 00:17:00
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Getting Started 00:16:00
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Aesthetics Mappings 00:25:00
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Single Variable Plots 00:37:00
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Two Variable Plots 00:21:00
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Facets, Layering, and Coordinate Systems 00:18:00
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Styling and Saving 00:12:00
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Creating with R Markdown 00:29:00
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Introduction to R Shiny 00:26:00
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A Basic R Shiny App 00:31:00
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Other Examples with R Shiny 00:34:00
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Machine Learning Part 1 00:22:00
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Machine Learning Part 2 00:47:00
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Starting a Data Science Career Section Overview 00:03:00
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Data Science Resume 00:04:00
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Getting Started with Freelancing 00:05:00
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Top Freelance Websites 00:05:00
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Personal Branding 00:05:00
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Importance of Website and Blo 00:04:00
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Networking Do’s and Don’ts 00:04:00
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Resources – Data Science & Machine Learning with R
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Assignment – Data Science & Machine Learning with R 10:00:00
Course Overview
Information is power in the information age, and achieving that power is the key to the world of possibilities. The QLS-accredited Advanced Diploma in Data Science & Machine Learning with R (Level 7) programme will educate and equip anyone who desires to be successful in the field. This course is built with the right programme, which offers a comprehensive understanding of R, from the raw data types to the complicated visualisation and data munging. You will also discover how to make beautiful reports through R Markdown as well as how to develop great web applications with R Shiny.
Receiving QLS accreditation ensures that this diploma meets these qualities, hence becoming one of the best learners’ achievements.Besides, to provide students with broad knowledge about working with data, the course also covers theoretical basics of machine learning.Extremely appropriate to those economics graduates who now strive to become masters of this data-dominant world today.
So what are you waiting for? Sign up immediately for the bundle and be on your way towards becoming a data science professional today!
Key features
- E-learning and E-assessment system with flexibility.
- Learners get interactive resources.
- Expert advice from qualified professionals
- Globally recognised certificate.
- 14 days refund guarantee.
- 24/7 Tutor Support
Learning Outcome
- Have a thorough grasp of the Data Science & Machine Learning with R in just a few hours, rather than years.
- Acquainted yourself with the most recent industry developments and changes.
- Adjust and adapt in any working setting by combining your academic and practical expertise.
- Seek assistance from our qualified teachers at any moment.
- Get your hands on professionally developed and prepared course materials.
- Study whenever and from anywhere you wish.
Course Details
This course is perfect for anyone eager to explore the power of data:
- Those who are considering a career in machine learning and data science.
- Professionals looking to enhance their data manipulation and analysis skills using R.
- Graduates seeking to gain a competitive edge in the job market with specialised knowledge in Data Science.
- Those who want to explore the applications of machine learning and its impact on various industries.
- Data Science and Machine Learning Course Intro
- Getting Started with R
- Data Types and Structures in R
- Intermediate R
- Data Manipulation in R
- Data Visualization in R
- Creating Reports with R Markdown
- Building Webapps with R Shiny
- Introduction to Machine Learning
- Starting A Career in Data Science
Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Data Science & Machine Learning with R certificate.
An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.
QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education. It is a non-accredited course.
There are no formal requirements needed for this Data Science & Machine Learning with R course. So learners do not require any prior qualifications to enrol in this course.
Ready to pursue rewarding roles in the data science industry?
- Data Scientist – £55,000 per year
- Data Analyst – £40,000 per year
- Machine Learning Engineer – £65,000 per year
- R Developer – £50,000 per year
- Business Intelligence Analyst – £45,000 per year
- Data Visualisation Specialist – £42,000 per year
Course Reviews
No Reviews found for this course.
Course Info
Enrol now, pay later in easy instalments(Interest free) with Clearpay.
