Course Details
Course Outline
5 days course
Introduction to Data Science and Business Intelligence
- Understanding the basics of data science and business intelligence
- Key differences between the two fields
- Overview of popular data science tools and techniques
Data Collection and Cleaning
- How to collect and clean data for analysis
- Introduction to spreadsheets and basic data manipulation using Microsoft Excel or Google Sheets
- Hands-on exercises in data cleaning and formatting
Data Visualisation and Analysis
- Basics of data visualisation and how to communicate insights to stakeholders
- Introduction to creating charts and graphs in Excel or Google Sheets
- Hands-on exercises in creating basic data visualisations and identifying patterns in data
Introduction to Machine Learning
- Overview of machine learning and its applications in business intelligence
- Introduction to supervised and unsupervised learning
- Hands-on exercises with simple machine learning algorithms in Excel or Google Sheets
Business Intelligence Applications and Conclusion
- Real-world examples of how data science and machine learning are applied in business intelligence
- Discussion on the business impact of data science and its limitations
- Closing thoughts and next steps for pursuing a career in data science for business intelligence.
