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Data Analytics with R from Scratch - Beginner
Rating: 4.5 out of 5(12 ratings)
4,519 students

Data Analytics with R from Scratch - Beginner

Become Data Analytics expert with R. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot
Last updated 1/2024
English

What you'll learn

  • This course will show you how the most common types of graphs can be produced with R
  • Learn to program in R at a good level
  • you will get a good understanding of functions and loops in R which are very useful programming skills to have
  • Learn how to use R Studio

Course content

1 section25 lectures3h 37m total length
  • Comprehensive Course on R7:35
  • Origination of R8:10
  • Introduction to Architecture of R7:33
  • Different File Types in R8:44

    Explore the main file types in R, including R script, R markdown, text, C++ files, HTML outputs, and Shiny apps, and the four-window workspace in RStudio.

  • Basic Syntax5:46

    Explore the basic syntax of R, execute a hello world example, and create data frames for vectorized, table-like data using commands in the R console.

  • Different Data Types12:32

    Explore the data types in R, including vectors, lists, matrices, arrays, factors, and data frames, and how variables reserve memory in the R Studio environment to store and classify values.

  • Creating Vectors6:35
  • Creating Vectors Continues7:32
  • Functions and Variables in R5:13
  • Operators in R7:12
  • Loops and Functions in R12:44
  • Manipulation with Strings5:40

    Learn to create and manipulate strings in R from text data, using single or double quotes, and perform concatenation, case conversion, nchar counting, and substring extraction.

  • Concept of Data Frame10:12
  • Charts in R11:33
  • Functions of Charts7:37
  • Executing with Values10:22

    Learn to create and customize histograms, bar charts, line charts, and scatter plots in R from scratch, using numeric vectors and data frames, exploring distributions, trends, and variable relationships.

  • Statistical Analytics9:51
  • Distribution Functions9:56
  • Linear and Logistic Regression6:30

    Explore regression analysis, including linear and logistic regression, to model relationships between dependent and independent variables, and use R's lm to predict outcomes, estimate coefficients and intercept, and assess residuals.

  • Performing Analytics in R7:04
  • Multiple Linear Regression9:21
  • Decision Tree7:55
  • Time Series12:18
  • Problems Faced by Life Insurance Co11:32
  • Data Exploration and Preparation7:43

Requirements

  • You will need to download and install R and R Studio on your PC or laptop. Both R and R Studio are for Free Software.
  • No prior knowledge is required. You need only a desire to learn new things and an access to a computer.

Description

Your journey will start with the theoretical background of object and data types. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the apply family of functions can be used for looping. In the graphics section you will learn how to create and tailor your graphs. As an example we will create boxplots, histograms and piecharts. Since the graphs interface is quite the same for all types of graphs, this will give you a solid foundation. There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different. This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

All the important aspects of statistical programming ranging from handling different data types to loops and functions, even graphs are covered. Learning R will help you conduct your projects. In the long run, it is an invaluable skill that will enhance your career. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concepts. Various examples and data sets are used to explain the application.

Who this course is for:

  • This course is for you if you are tired of R courses that are too complicated
  • Data Analytics aspirants, Data Scientists, Entrepreneurs
  • Anybody interested in statistical programming
  • Anybody who has basic R knowledge and would like to take their skills to the next level