Course Overview
This course teaches the skills and techniques for exploring, cleaning, transforming, reshaping and modeling data that enables you to discover useful insights that can be used for business decision-making. You would be working with R programming language which is one of the best language for data analysis, visualization and modeling. You will also learn SQL which can be used within R enviroment. In order to master what you have learnt, you will be working on several projects that are based on business data.
Course Breakdown
Get a great start with installing tools needed to work on data analysis tasks using R. Learn to install R and RStudio IDE.
Learn about R programming language and basic data structures.
Learn how to access, work and save data from and to different sources like csv, tsv, MS Excel files.
Data comes in different sizes, shapes and values. Get a better understanding of what tidy data means and how to achieve it.
Learn how to combine and transform data in R.
Learn how to manipulate string values into meaningful values for analysis.
Dates values can be in different formats while working with data. Learn to get the right date formats for your analysis
Factors - categorical values are very important in data analysis. Learn how to work and derive insights with factors in R.
Learn to communicate insights by creating data visuals in R.
Learn how to collect, analyze, and draw insights from data with basic understanding of statistics.
Get a deeper nderstanding of MS Excel worksheets and workbooks in R.
Learn how to explore and extract insights from dataset in R.
Deduce relationship between two or more variables in R.
Get a head start creating basic machine learning models in R.
Understand the basics of structured query language in R.
Interaction with SQL databases and objects in R .
Generate analytics reports in word, html, pdf files using R.
How It Works
Duration
8 WeeksStudents Per Class
10Class Format
100% ONLINEClass Model
Instructor-ledWho Should Apply
All individuals aspiring to get a job as a data analyst. No prior knowledge of R or SQL required.