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Data Science & Machine Learning with R from A-Z Masterclass

Data Science & Machine Learning with R from A-Z Masterclass

Welcome to the Learn Data Science and Machine Learning with R from A-Z Course! In this practical, hands-on course you'll learn how to program in R and how ...

Enroll -- >  Data Science & Machine Learning with R from A-Z Masterclass

What you'll learn

  • Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
  • How to write complex R programs for practical industry scenarios
  • Learn data cleaning, processing, wrangling and manipulation
  • Learn Plotting in R (graphs, charts, plots, histograms etc)
  • How to create resume and land your first job as a Data Scientist
  • Step by step practical knowledge of R programming language
  • Learn Machine Learning and it's various practical applications
  • Building web apps and online, interactive dashboards with R Shiny
  • Learn Data and File Management in R
  • Use R to clean, analyze, and visualize data
  • Learn the Tidyverse
  • Learn Operators, Vectors, Lists and their application
  • Data visualization (ggplot2)
  • Data extraction and web scraping
  • Full-stack data science development
  • Building custom data solutions
  • Automating dynamic report generation
  • Data science for business

Description

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

In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.

The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.

We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!

View Bestselling -- > Python for Data Science & Machine Learning from A-Z

Comprehensive learning path – Data Science in Python

  • Step 0: Warming up. ...
  • Step 2: Learn the basics of Python language. ...
  • Step 3: Learn Regular Expressions in Python. ...
  • Step 4: Learn Scientific libraries in Python – NumPy, SciPy, Matplotlib and Pandas. ...
  • Step 5: Effective Data Visualization.

Online Course CoupoNED
Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.

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