Course Overview
Everyone's talking about it: data is the new gold, let's dig. Python is our mining tool. Learn how to prepare your data for analysis correctly and efficiently and how to evaluate it in a targeted way using hypothesis techniques.
Who should attend
Data analysts, business analysts, data engineers, BI specialists, database specialists, Excel analysts
Prerequisites
Course Advanced Python (Associate Training) (PYTHON03) or equivalent knowledge
Course Objectives
- Data preparation
- Data transformation
- Quality evaluations
- Analysis
- Data analysis applications
- Introduction to Machine Learning and AI
Course Content
- Basics of Numpy
- What this package can do
- Which data analyses are possible
- Introduction to pandas
- Pandas Data Structures
- Functionality
- Which data analyses are possible and useful with pandas
- Loading and saving data
- Practical handling of the most important file formats
- Efficiency, performance and reliability
- Prepare and clean up data
- Dealing with missing data
- Data transformation
- Linking, combining and transforming data
- Visualization
- Aggregation and grouping of data
- Time series
- Pandas for advanced learners
- Modelling Libraries
- Examples from data analysis
- Overview learning models with scikit
English 
German 
Switzerland