Course Code: daanevp
Duration: 42 hours
Prerequisites:
  • There are no specific requirements needed to attend this course.
Overview:

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.

Course Outline:

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
Sites Published:

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