- There are no specific requirements needed to attend this course.
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim of the course is to help delegates to give evidence-based answers to questions:
What has happened?
- processing and analyzing data
- producing informative data visualizations
What will happen?
- forecasting future performance
- evaluating forecasts
What should happen?
- turning data into evidence-based business decisions
- optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
Basic Excel
- Navigation
- Manipulating data
- Working with formulas and addresses
- Charts
Advanced Excel
- Logical functions
- Scenario analysis
- Solver
- Macros
- First glimpse of code: VBA
VBA
- Data types
- Writing a function
- Controlling a program: conditional evaluation and loops
- Debugging techniques
Data Analytics with Python
- Introducing Python
- Variables and types
- Data manipulation in Python using Pandas
- Writing functions
- Data visualization using Matplotlib and Seaborn
- Data wrangling with Pandas
Introduction to Machine Learning with Python
- Linear Regression using scikit-learn
- Classification and regression trees with Python
- Classification using Support Vector Machines and Random Forests
- Clustering techniques using scikit-learn
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