Applied Data Analysis Course (online)
Group | Online Sessions (GMT) | Duration | Registration |
---|---|---|---|
A |
Mondays 14h00 to 18h00 (GMT) |
36 Hours |
Available Seats: 30
Registration Deadline
REGISTER NOW
31/05/2024 23:59 |
Description
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
- Practice all data analysis techniques they learned through a final project applied to real-world datasets.
COURSE SYLLABUS
• Introduction to Analytics, AI, and Machine Learning
• Introduction to Generative AI and LLM (Large language Models)
• 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 cycleAdvanced analytics techniques in ExcelBuilding Analytics dashboards in Excel
• Introduction to Tableau
• Building Dashboards in tableau
• Introduction to Python Programming
• Data Cleaning techniques in Python
• Exploratory Data Analysis in Python
• Final Project to apply the learned data analysis techniques on real world datasets