Data Analysis and Visualization using R

Course Price: Rs. 30,000 (6 month EMI available)


Certification

Top 5% of the class will get a merit certificate. Course completion certificate will be provided to all students who complete the course. You will receive both e-verified and hard copy of your certificates

 


Skill set that you will learn

 

Data Visualization

Understand the significance of data by placing it in a visual context

     
 

R Programming 

Open source programming for statistical computing and graphics


What will you learn this week

Getting started with R programming

• Motivation: Importance of visualization for decision making
• Demo: text vs. table vs. plot
• Demo: 1-variable plots, 2-variable plots and 3-variable plots
• Installation of R and RStudio
• Hands-on coding to get started with ggplot2
• Project brainstorming discussion

 

Tidyverse and data pipelining

• Data Frames, Vector types: character, numeric, factors
• Tidy data
• Data importing basics
• Data cleaning basics
• Data wrangling basics
• Plot themes
• Hands-on coding, assignment discussion, and project brainstorming discussion

 

Data manipulation

• Handling missing values
• Data reshaping
• Data grouping operations
• Vectorizations and summary functions
• Built-in functions
• For loops and conditional statements
• Hands-on coding, assignment discussion, and project data collection discussion

 

Advanced Programming

• String operations and regular expressions
• Combining data frames
• Functional programming
• Map functions as an alternative to for loops
• Hands-on coding, assignment discussion, and project coding help

 

Data Visualisation

• Dates and times
• Geographical maps
• Advanced examples of one, two and three variable plots
• Histograms, density plots and frequency polygon plots, continuous vs discrete, boxplots, dotplots, line,
step and area plots
• Hands-on coding, assignment discussion, and project coding help

 

Statistical layering

• Advanced graphing techniques
• Demo: adding statistics and layers in ggplot2
• Hands-on coding, assignment discussion, and project coding help

 

Animations and reproducible reports

• Creating animations, gifs, and reproducible reports
• Demo: frames in ggplot2, reporting using RMarkdown
• Hands-on coding, assignment discussion and project coding help

 

Interactivity

• Introduction to interactive visualizations using shiny
• Demo: sliders, dropdown, and other ui elements.
• Web enabling ggplot2 and shiny visualizations
• Hands-on coding, adding shiny elements to course project

 


Job Opportunities

 

Companies in India that look for similar Skill Sets

Click here to get a list of companies that you can apply after finishing this course.


Projects

  • Cricket match analysis.
    • Analyze the overall matches of IPL 2017 and predict the pattern in which teams and its respective player performance in IPL 2018
  • Retirement simulation.
    • Compare on key metrics against industry norms. Analyze disparate databases to make comprehensive reporting. Determine results from enhanced data integration and define common data dimensions across different enterprises. 
  • Rainfall analysis.
    • Analyze historical data and predict key weather and rainfall metrics for 2018
  • Decision support
    • Develop an interactive software-based system to help decision makers compile useful information from a combination of raw data, documents, and business models to identify and solve problems and make decisions. 
    • Projects will focus in the fields of healthcare and finance


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