This Guided Project “Application of Data Analysis in Business with R Programming” is for the data science learners and enthusiasts of 2 hours long. The learners will learn to discover the underlying patterns and analyse the trends in data with Data Science functions. They will explore a Real world application of Data Analysis in the field of business.They will gain insights that will assist in suggesting recommendations or strategic decision making for optimising business and efficient allocation of resources. This Guided Project is unique because it is a research study and analysis of data of a pandemic affected period from the year 2020. Hence, learners will study customer purchasing trends of an uncertain period marked by covid-19 where the world economy has been suffering which will also prepare learners for analysing uncertain and uneven trends. In order to be successful, learners will need prior fundamental knowledge of R programming,Statistics and familiarity with using RStudio.

In this Guided Project, you will:

• Apply Data Manipulation and Data Visualization.
• Analyze trends and patterns of business data.
• Find Correlation to understand the relationship between variables.

2 hours

Intermediate

No download needed

Split-screen video

English

Desktop only

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

1. Explore and transform Data based on rows.
2. Transform Data based on columns.
3. Statistical Interpretation of data(Descriptive Statistics).
4. Practice the skills of Data Manipulation.
5. Build Column plot and Scatter plot to analyse trends and patterns.
6. Build Line Plot and Histogram to analyse trends and patterns.
7. Build Circular plots to analyse trends and patterns.
8. Practice the skills of Data Visualization.
9. Find Correlation to understand the relationship between variables.
10. Capstone Task: Cumulative challenge task where learners will have to transform data, make statistical interpretation, make graphical representations of data and build correlation matrix.

 

Note: This is part of the larger overall course Data Analyst. To complete it fully, you will need to complete all of the following courses:

• Google Data Analystics
• Getting started with Microsoft Excel
• Application of Data Analysis in Business with R Programming
• Prepare, Clean, Transform, and Load Data using Power BI
• Get Started With Tableau