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Course Outline
Foundational Excel Skills
- Navigating the interface
- Data manipulation techniques
- Utilizing formulas and cell references
- Creating charts
Advanced Excel Capabilities
- Applying logical functions
- Conducting scenario analysis
- Using the Solver tool
- Recording and managing macros
- Introduction to programming with VBA
Visual Basic for Applications (VBA)
- Understanding data types
- Developing custom functions
- Program control through conditionals and loops
- Applying debugging techniques
Data Analytics with Python
- Getting started with Python
- Variables and data types
- Data manipulation using the Pandas library
- Writing reusable functions
- Visualizing data with Matplotlib and Seaborn
- Data wrangling with Pandas
Introduction to Machine Learning with Python
- Linear Regression via scikit-learn
- Classification and regression trees in Python
- Classification using Support Vector Machines and Random Forests
- Clustering techniques using scikit-learn
Requirements
No specific prerequisites are required to enroll in this course.
42 Hours
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.