Data Wrangling, Exploratory Data Analysis (EDA) and Data Management Basics (Synchronous and Asynchronous E-Learning)
About This Course
Turning “raw” data into “usable form” is a necessary step before any data analysis can be done. As businesses and organizations get inundated with more and more data from a myriad of internal and external sources, the data needs to cleaned, formatted and prepared in a way that can be used for various analysis and data visualization. It is estimated that an analysts spend as much as 75% of his/her time just performing data wrangling and EDA tasks. In this segment, participants will learn about data structures, how to handle and manage different types of data, how to prepare data for analysis and data visualization.
What You'll Learn
Entry Requirements
Applicants should have some related background that is relevant to the programme:
• Diploma or Tertiary level qualification
• Have taken Mathematics as a subject at secondary level
• 3-years working experience
(Applicants are subjected to pre-course assessment)