Data Science & Machine Learning Bootcamp with R
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1 Year
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Intermediate
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Course Certificate
Certificate -
82
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0
Quizzes -
1 day, 3 hours
Duration
Data Science and Machine Learning Bootcamp with R Overviews
Data Science and Machine Learning are usually linked with the Python programming language. However, another programming language, R, is also quite popular in these two fields. Master the techniques for the two fields with our Data Science and Machine Learning Bootcamp with R course. This course is designed to skill up future data scientists and machine learning enthusiasts in mind.
In the beginning, you will be introduced to the core topic including the definition of Machine Learning and Data Science. Then, you will start your R learning journey. After that, you will have 12 more interconnected modules of the core topic. Finally, you will be taught how to start a career in Data Science.
At the end of the course, you will receive a certificate of achievement. This certificate will enhance your employability in the IT industry. Join now!
Course Preview
Learning Outcomes
- Get a solid grasp of data science and the data science field.
- Understand the essentials of R programming, such as data types, structures, and packages.
- Learn to manipulate data using tools.
- Improve your data visualisation skills with R for both single and multivariable plots.
- Explore R Markdown for creating reports and R Shiny for web application development.
- Understand and implement data preprocessing techniques for machine learning.
- Discover and utilise machine learning models.
- Create resumes, network, and develop a portfolio to help you prepare for a data science profession.
Why Take This Course From John Academy?
- Affordable, well-structured and high-quality e-learning study materials
- Meticulously crafted, engaging and informative tutorial videos and materials
- Efficient exam systems for the assessment and instant result
- Earn UK & internationally recognised accredited qualification
- Easily access the course content on mobile, tablet, or desktop from anywhere, anytime
- Excellent career advancement opportunities
- Get 24/7 student support via email
What Skills Will You Learn from This Course?
- Fundamentals of R Programming.
- Data Manipulation and Transformation.
- Data Visualisation Techniques in R.
- Web Application Development with R Shiny.
- Machine Learning Model Implementation.
- Data Science Career Preparation.
Who Should Take This Data Science and Machine Learning Bootcamp with R Course?
Whether you’re an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.
Are There Any Entry Requirements?
This Data Science and Machine Learning Bootcamp with R is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.
Data Science and Machine Learning Bootcamp with R Certification
After completing and passing the Data Science and Machine Learning Bootcamp with R course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99.
Career Path
This exclusive Data Science and Machine Learning Bootcamp with R course will equip you with effective skills and abilities and help you explore career paths such as
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Research Scientist
Course Curriculum
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Intro To DS+ML Section Overview 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 + Machine Learning Marketplace 00:05:00
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DS+ ML Job Opportunities 00:03:00
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Data Science Job Roles 00:04:00
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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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R Studio 00:06:00
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Tidyverse 00:05:00
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Resources 00:04:00
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Section Introduction 00:30:00
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Basic Types 00:09:00
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Vectors 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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Matrices 00:31:00
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Lists 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 00:20:00
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Data Frames: Tibbles 00:39:00
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Section Introduction 00:47:00
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Relational Operators 00:11:00
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Logical Operators 00:07:00
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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 & Times 00:30:00
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Functional Programming 00:37:00
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Data Import/Export 00:22:00
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Databases 00:27:00
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Section 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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{dplyr}: The Filter Verb 00:22:00
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{dplyr}: The Select Verb 00:46:00
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{dplyr}: The Mutate Verb 00:32:00
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{dplyr}: The Arrange Verb 00:10:00
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{dplyr}: The Summarize Verb 00:23:00
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Data Pivoting: {tidyr} 00:43:00
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String Manipulation: {stringr} 00:32:00
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Web Scraping: {rvest} 00:57:00
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JSON Parsing: {jsonlite} 00:11:00
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Section Introduction 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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Intro To R Markdown 00:29:00
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Intro to R Shiny 00:26:00
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A Basic Webapp 00:31:00
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Other Examples 00:34:00
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Intro to ML Part 1 00:22:00
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Intro to ML Part 2 00:46:00
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Section Overview 00:03:00
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Section Overview 00:27:00
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Section Introduction 00:25:00
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A Simple Model 00:53:00
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Section Introduction 00:25:00
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Hands-on Exploratory Data Analysis 01:02:00
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Section Introduction 00:32:00
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Linear Regression in R Linear Regression: A Real Model 00:53:00
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Logistic Regression Intro 00:38:00
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Logistic Regression in R 00:39:00
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Section Overview 00:03:00
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Creating A 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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Networking 00:04:00
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Setting Up a Website 00:04:00
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