Python for data analytics

During this intensive 3-day training with ABIS, we will learn how to collect, process, analyse, and visualise data with Python. We will work with specialised packages such as Pandas, Numpy, and Matplotlib.

In recent years, the importance of data analytics and data science in the professional world has increased significantly. At the same time, we have observed that Python has taken a leading role as a programming language in this field. Today, it is perhaps the most essential tool for data analysis in science and the business world. Python’s strengths as a general-purpose programming language, combined with specialised libraries like Numpy, Pandas, and Matplotlib, make it an excellent tool for exploring, analysing, and visualising various types of data.

In this course we will learn:

 

  • How to import data from various sources into a Python environment;

  • How to process and prepare data for analysis;

  • How to analyse data using Numpy and Pandas;

  • How to visualise the results of our analysis.

Schedule a training?

Delivered as a live, interactive training: available in-person or online, or in a hybrid format. The Training can be implemented in Dutch, English, or French. 

REQUEST IN-COMPANY TRAINING

 

Public training calendar
datedur.lang.locationprice 
14 May3web based 1890 EUR (excl. VAT)
14 May3Woerden 1890 EUR (exempt from VAT)
SESSION INFO AND ENROLMENT

Intended for

This training is aimed at whoever wants to start performing data analysis: developers, data scientists, data architects, marketeers... and anyone who needs to manipulate, visualize, or summarize data.

Background

Basic Python knowledge is a prerequisite for this training, as well as some notions of statistics (see courses Python fundamentals and Statistics fundamentals).

Main topics

  • Reading and writing data
    • Text files, CSV
    • Databases
    • Microsoft Excel
    • JSON, XML, HTML
  • Data Wrangling and exploratory analysis
    • Combining data: appending, concatenating, merging and joining data
    • Transforming data
    • Pivoting
    • Handling missing data
  • Data aggregation and Grouping
  • Working with text
    • Universal string operations
    • Regular Expressions (optional)
  • Visualisation
  • The Scientific Python ecosystem (SciPy)
    • NumPy
    • Pandas
    • Matplotlib
    • Jupyter Notebooks and IPython
  • Other useful packages

Training method

Classroom training with demos and extensive practical exercises.

Certificate

At the end of the course session, the participant receives a 'Certificate of Completion'.

Duration

3 days.

Course leader

Arnout Veugelen (ABIS).

Reviews

4.4/5 (based on 27 evaluations; the most recent ones are shown below)

Good course, Arnout is a great teacher

 
  (, )

It was really informative for me, also as I have less practical knowledge in python I could still follow the training.

 
  (, )

The course was really in-depth and explained well

 
  (, )

good, I feel myself more comfortable with Python after this course

 
  (, )

It was very well presented, interesting,useful and fun!

 
  (, )

Goede cursus, locatie en overige ook prima.

 
  (, )

Zeer positief, zie al uit naar een volgende cursus bij ABIS.

 
  (, )

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SESSION INFO AND ENROLMENT