- Duration / Course length: 27 Hours Start now
- Accredited by: iAPCPD Certification Service
- Certificates:
- Course delivery: This course is delivered in video format
Course details
OverviewData Science and Machine Learning with R - Level 3
Data science is a field of study that combines programming skills with the knowledge of mathematics and statistics to extract insights from data. It's an interdisciplinary field that uses scientific methods, processes, algorithms and systems to convert insights from unstructured data to structured knowledge, that can help them make decisions and take action across a broad range of application domains.
Data science can be defined as a blend of mathematics; business acumen, tools, algorithms and machine learning techniques. All of these help us give meaning to raw data which can be of major use in the formation of big business decisions.
This course will facilitate your growth of data skills and enhance your career. In this non-technical course, you'll be introduced to everything you need to know about this fast-growing and exciting field. Learn real-world applications and gain understanding through quick non-coding exercises.
Why You Should Consider Taking this Course at Study365?
The Data Science and Machine Learning with R Course is brought to you by Study365. We are a leading online education provider for several accredited organisations, and provide learners the opportunity to take this IAP course. At Study365, we give our fullest attention to the learners' needs and ensure they have the necessary information required to proceed with the training.
Our priority is on the advancement of knowledge and skills, we are bound to facilitate everything required to confirm a top-notch education service. We vouch for our learners an exclusive learning experience by paying close attention to each of their unique requirements and coming up with solutions every time. We provide them with state-of-the-art facilities using the latest technology.
The benefits of studying with Study365 are ample. Here are just a few,
- Unlimited 12 months access from anywhere, anytime
- Save time and money on travel
- Learn at your own pace
- Versatile and motivated learning
- A culture of continuous improvement
Learning Outcome
- Understand data cleaning, processing and manipulation
- Learn Data and File Management in R
- Give a head start for individuals who want to start a career in the field
- Learn how to write complex R programmes for practical industry scenarios
[Module 01]Introduction to Data Science +ML with R from A-Z
- Intro to DS+ML Section Overview
- What is Data Science?
- Machine Learning Overview
- Who is this course for?
- Data Science + Machine Learning Marketplace
- DS + ML Job Opportunities
- Data Science Job Roles
- Getting Started
- Basics
- Files
- R Studio
- Tidyverse
- Resources
- Section Introduction
- Basic Types
- Vectors Part One
- Vectors Part Two
- Vectors: Missing Values
- Vectors: Coercion
- Vectors: Naming
- Vectors: Misc
- Matrices
- Lists
- Introduction to Data Frames
- Creating Data Frames
- Data Frames: Helper Functions
- Data Frames: Tibbles
- Section Introduction
- Relational Operators
- Logical Operators
- Conditional Statements
- Loops
- Functions
- Packages
- Factors
- Dates & Times
- Functional Programming
- Data Import/Export
- Databases
- Section Introduction
- Tidy Data
- The Pipe Operator
- {dplyr}: The Filter Verb
- {dplyr}: The Select Verb
- {dplyr}: The Mutate Verb
- {dplyr}: The Arrange Verb
- {dplyr}: The Summarize Verb
- Data Pivoting: {tidyr}
- String Manipulation: {stringr}
- Web Scraping: {rvest}
- JSON Parsing: {jsonlite}
- Section Introduction
- Getting Started
- Aesthetics Mappings
- Single Variable Plots
- Two-Variable Plots
- Facets, Layering, and Coordinate Systems
- Styling and Saving
- Intro To R Markdown
- Intro to R Shiny
- A Basic Webapp
- Other Examples
- Intro to ML Part 1
- Intro to ML Part 2
- Section Overview
- Data Preprocessing
- Section Introduction
- A Simple Model
- Section Introduction
- Hands-on Exploratory Data Analysis
- Section Introduction
- Linear Regression in R
- Logistic Regression Intro
- Logistic Regression in R
- Section Overview
- Creating A Data Science Resume
- Getting Started with Freelancing
- Top Freelance Websites
- Personal Branding
- Networking
- Setting Up a Website
This is a knowledge-based course, and thus, will contain no method of assessment.
Certification
Once the course is completed, the learners get awarded with a certificate of completion for 'Data Science and Machine Learning with R - Level 3' by iAP.
Awarding Body
The International Awards for Professionals (iAP) is an awarding body established in 1999 that aims to promote a high educational standard. They hope to create online education that is trustworthy and credible. They are focused on raising the standards of online education, and ensuring it is accessible to all. The iAP provides accreditation for a range of educational establishments, and monitors and continually develops the educational standards of such institutions. Their globally recognised certifications allow learners to acquire the skills and knowledge needed to gain employment in the chosen fields. Updated on 29 February, 2024
Eligibility / Requirements
- There are no pre-requisites to follow this course
- Learners should be over the age of 16
About Study 365
Study 365 is an online course provider, offering more than 400 courses to students across the globe. We have built a solid reputation which has elevated us to become one of the most trusted and reliable course providers in the online learning marketplace. With over 100,000 students on our books, we’re the preferred choice for many online learners.
- Unrivalled choice
At Study 365, we offer a diverse range of online courses, where students can study everything from accounting, to design, beauty therapy, IT and education and training. All of our courses are completely relevant to the real world, so you can gain vital skills applicable to your chosen career.
- Accessible and affordable
We aim to make it easy to help you gain new skills, so you’ll find that many of our courses are open to students without previous experience or qualifications. Of course, if you’re looking for a course that builds on existing skills, we offer these too, in which case, entry requirements may be stipulated. Crucially, our courses are affordable, making it easy for anyone to kick-start a new career.
- Informative and secure
With our comprehensive course information, we make it simple for you to decide if a particular course is right for you. As well as detailing what the course involves, we reveal who might suit the course, and what career path you could take with it. With real student reviews, you can also find out what others have to stay from their experience of a course.
Once you’ve chosen a course, getting started is quick and fuss-free. Our online system is very secure, so your personal details will be kept safe at all times.
- Learn at your own pace
Many people choose to study online because they have other commitments in their daily lives, such as juggling family and work. The beauty of learning through Study 365 is that you can learn at your own pace in the comfort of your own home, at any time of day or night, on any device, to suit your personal circumstances. This flexibility means studying with us is easy, even if your life is already busy.
- Expert tutor support
Although you learn on your own with our courses, we appreciate that you’ll need expert guidance to make sure you’re on the right track and to offer support as and when it’s needed. That’s why each course is supported by professional tutors who are experienced and knowledgeable in your chosen course topic.
- As good as the classroom
As an expert online course provider, we understand that students expect the same level of course quality as if they were in a classroom situation. At Study 365, all of our courses have been meticulously designed, so they easily rival any style of course offered in a classroom setting.
- Versatile and motivated learning
We appreciate that some students can find it hard to motivate themselves to learn online under their own initiative, so we’ve tried to make the courses as inspiring and interesting as possible, to ensure students stay motivated, from start to finish. Tuition comes in the form of professional video tutorials, narrated e-learning modules, interactive quizzes, tests and exams.
- Assessment and certification
To show understanding of your learning, you’ll be assessed by Study 365 on completion of your modules.
