Description

This course at a glance

Accredited by CPDQE

Learn how to become a data scientist, data engineer, data analyst or consultant

Know the different processes of Data Science, such as data cleaning, processing, wrangling, manipulation

Discover the usage of R to clean, analyse, and visualise data

How to write complex R programs for real-life industry situations

Get data scientist resume tips and land your first job

Explore the various applications of Machine Learning

Understand Tidyverse, Operators, Vectors, Lists and their applications

Uncover data extraction and scraping

Data science and Machine Learning are one of the most popular fields in the world today. Data science is crucial to analysing and developing data-based machine learning models. We will cover programming in R in this course for data science and machine learning.

R programming is a specialised skill that is in high demand today. We’ve designed our Data Science and Machine Learning with R course to help you learn fundamentals through advanced R programming. This course teaches you how to effectively use R programming for machine learning or data science. You’ll learn how to visualise data by plotting in R, as well as how to clean data.

You will receive training in machine learning and its many real-world applications while working with R Shiny to create web applications and online interactive dashboards. In other words, you will gain practical, step-by-step knowledge of the R programming language that you may use for business or professional purposes.

An expert instructor designed this “Data Science and Machine Learning with R” course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.

To explore the world of R Programming Language, Enrol Now!

Accredited by

This course is CPDQE accredited, which serves as an impactful mechanism for skill enhancement.

Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.

CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.

Course Curriculum

Introduction to Data Science +ML with R from A-Z

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

Data Preprocessing

Linear Regression: A Simple Model

Exploratory Data Analysis

Linear Regression: A Real Model

Logistic Regression

Starting a Career in Data Science

Frequently Asked Questions

Do you offer free certificate?

Yes, we offer free PDF Certificate upon course completion. Here is an example certificate that you will get after completing your course. course image

Is this course accredited?

Yes, this course is accredited by CPDQE.

Who is CPD for?

Continuing Professional Development (CPD) is a practice embraced by countless individuals across diverse industries and professions. Typically, professional organisations and institutes mandate CPD requirements, often specifying a specific number of annual CPD training hours.

In recent decades, the dedication to CPD has transcended the confines of traditional sectors and UK-based institutions, gaining global recognition and acceptance.

Why do you need CPD?

Can you tell me about CPD Points, hours and credits?

The majority of institutions and professional organisations establish Continuing Professional Development (CPD) goals, typically on an annual basis. These objectives are determined by accumulating CPD activities, which include participating in training courses, eLearning programs, events, and other structured learning experiences.

Most professional bodies employ CPD hours as their primary metric, and when CPD points or credits are utilised, they are typically in a direct 1:1 correlation with CPD hours. In simpler terms, one CPD point equates to one CPD hour.

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Data Science and Machine Learning with R

By LearnDrive UK

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