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 ! 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
Portuguese
German
Spanish
Germany
Switzerland