Data Analysis Course
Description
This is a project-based course designed for trainees with some data analysis background to get upskilled towards learning how to do the exploratory analysis and gain insights from the data by producing the data analytics charts and generating actionable insights.
COURSE OBJECTIVES
On successful completion of this course, students will be able to:
- Understand and describe the essential concepts of Data Analytics
- Describe how to get prepared towards having a Data Driven Organization
- Identify and implement appropriate analytical techniques fundamental to developing data analysis projects
- Practically design and run the Exploratory Analysis projects in different analytics environments such as Excel, Python, and Tableau
COURSE SYLLABUS
- Introduction to Analytics, AI, and Machine Learning
- Different types of data analysis: Descriptive, Diagnostic, Predictive, and Prescriptive
- How to have a Data-Driven Organization (DDO)
- Essential concepts about data visualizations
- Analytics project life cycle
- Data Visualization Techniques in Excel
- Building Analytics dashboards in Excel
- Introduction to Python Programming
- Data Visualization Techniques in Python
- Introduction to Data Visualization in Tableau
- Building Dashboards in Tableau
- Final Project: Applying data analytics techniques to the real datasets and building analytics dashboards