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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 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
Online Training

Duration 3 days


Courseware language: English

Classroom Training

Duration 3 days

Price (excl. tax)
  • Germany: 2,990.- €
  • Switzerland: CHF 3,375.-
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Bread
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by iTLS.



Courseware language: English

Currently there are no training dates scheduled for this course.  Enquire a date