2021 Data Science & Machine Learning with R from A-Z Course

Free Download 2021 Data Science & Machine Learning with R from A-Z Course Udemy Courses For Absolutely Free, with Direct Google Drive download link.

Welcome to the Learn Data Science and Machine Learning with R from A-Z Course!

This practical, hands-on course will teach you how to programme in R, as well as how to utilise R for successful data analysis, visualisation, and practical application of that data. You’ll learn how to set up and setup software for a statistical programming environment, as well as how to represent generic programming language principles in a high-level statistical language.

Our major goal is to provide you with the education you need to not only comprehend the R programming language, but also to learn how to become a professional Data Scientist using R and land your first job.

Programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and structuring and commenting R code are among the topics covered in this course. We take you from the beginnings of R programming to expertise by combining practical work with good theoretical teaching.

2021 Data Science & Machine Learning with R from A-Z Course

We recognise the importance of theory in laying a firm foundation, but we also recognise that theory alone will not get the job done, which is why this course is jam-packed with practical hands-on examples that you can follow step by step. This course is for you if you already have some coding expertise or want to learn about the advanced aspects of the R programming language.

In job listings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and more, R coding experience is either necessary or encouraged. Any of these data specialisations that require mastery of statistical techniques will benefit from adding R coding language abilities to your resume.

We’ll work together to provide you with the core knowledge you need to not just create code in R, analyse and visualise data, but also how to get compensated for your newly acquired programming talents.

The course covers 6 main areas:

1: DS + ML COURSE + R INTRO

This section provides a comprehensive overview of the R programming language, the data science business and marketplace, career opportunities and pay, and numerous data science job roles.

  • Machine Learning + Data Science (Introduction)
  • Industry and Market for Data Science
  • Job Openings in Data Science
  • Introduction to R
  • R: A Beginner’s Guide

2: DATATYPES/STRUCTURES IN R

This part provides a comprehensive overview of R’s data types and structures, as well as hands-on, step-by-step instruction.

  • Vectors
  • Matrices
  • Lists
  • Frames of data
  • Operators
  • Loops
  • Functions
  • Databases and a lot more!

3: DATA MANIPULATION IN R

This part provides a comprehensive overview of data manipulation in R, as well as hands-on, step-by-step instruction.

  • Clean Data
  • Operator of a Pipe
  • Filter, Select, Mutate, Arrange, and more with dplyr verbs!
  • Manipulation of strings
  • Scraping the Internet

4: DATA VISUALIZATION IN R

This part provides a comprehensive overview of Data Visualization in R, as well as hands-on, step-by-step instruction.

  • Mappings of Aesthetics
  • Plots with a single variable
  • Plots using two variables
  • Layering, Facets, and the Coordinate System

5: MACHINE LEARNING

This part provides a comprehensive overview of Machine Learning, as well as hands-on, step-by-step instruction.

  • Machine Learning: An Overview
  • Data Preparation
  • Regression Linear
  • Logistic Regression is a technique for predicting the outcome of
  • Vector Support Machines (SVMs)
  • Clustering with K-Means
  • Learning in a group
  • Processing of Natural Language
  • Neuronal Networks

6: STARTING A DATA SCIENCE CAREER

This section provides a comprehensive overview of how to begin a career as a Data Scientist, including hands-on, step-by-step instruction.

  • Putting Together a Resume
  • Personal Branding is a term used to describe the process of
  • Websites for freelancers + freelancing
  • The Importance of a Website
  • Networking

You’ll be a professional Data Scientist with R at the end of the course, and you’ll be able to confidently apply for jobs knowing that you have the skills and expertise to back it up.

2021 Data Science & Machine Learning with R from A-Z Course Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!

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