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.