Master Class: Data Analysis with Python (PYTHON05)

 

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 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

Prices & Delivery methods

Online Training

Duration
3 days

Price
  • on request
Classroom Training

Duration
3 days

Price
  • on request

Click on town name or "Online Training" to book Schedule

Germany

Hamburg
Berlin

Switzerland

Zurich
Zurich
Zurich
Zurich
Zurich
Zurich
Zurich
Zurich
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This is a FLEX course, which is delivered both virtually and in the classroom.