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Duration 42 hours
Course Outline
Foundations of Excel
- Navigating the interface
- Managing and manipulating data
- Utilizing formulas and cell references
- Creating charts
Advanced Excel Techniques
- Logical functions
- Scenario analysis
- Using Solver
- Automating tasks with Macros
- Introduction to coding via VBA
VBA Programming
- Understanding data types
- Developing functions
- Program control through conditionals and loops
- Debugging strategies
Data Analytics with Python
- Python overview
- Variables and data types
- Manipulating data with Pandas
- Function implementation
- Visualizing data using Matplotlib and Seaborn
- Data cleaning and transformation 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 methods with scikit-learn
Requirements
No prior prerequisites are required to participate in this course.
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.