Certificate Online

Data Analytics with Python

Winc Academy

3295 EUR/full
3295 EUR/full
Tuition fee
Apply date
Start date


Learn to collect, analyze and visualize data using Python, NumPy, pandas en Matplotlib. You will master the skills needed to land one of the most in-demand roles in tech after the Data Analytics with Python course at Winc Academy.


Why the Data Analytics with Python course at Winc Academy?

Data has become an indispensable part of this world. Being able to analyze this data and convert it into insights is a crucial skill for anyone who works or wants to work with data.Discover how to make data-based desicions, how to visualize data and share it with your team to turn the insights into growth.Python is a popular programming language among data analysts. During the course we will show you how you can use Python to get more out of your data analyses.

Graduate job-ready with the confidence to get hired.

‍We are 100% sure that after completing the course, you are ready for a junior role in tech. If you don't get a job in six months, you are entitled to a refund.

The Winc Method

  • Our mentors continue to motivate, are always available and provide personal feedback.

  • All courses are remote, which means that they can be followed online and from the comfort of your home.

  • We follow the principle of learning by doing. All mentors are developers who know exactly what you should be able to do in practice.

  • You have a personal learning path and are in full control. Start anytime. Full time or part time. Whenever you want.

Programme Structure

This course will equip you with:

  • Python: Python is a popular programming language widely used by data analysts. During this course you will learn to work with Python to create and manage data structures quickly.
  • Collecting and cleaning data: You learn what to pay attention to when you start collecting data and how you can ensure that the data can be analysed.
  • Visualize and report data: You will learn the different ways to visualize and report data, so it's easy to extract insights.
  • Data Analytics Tools: You will learn how to use a number of tools to work with data, such as Google Colab, NumPy, pandas and Matplotlib.
  • Grouping and analyzing data: You will learn how to formulate and answer data questions based on a dataset. After that you will look for trends, seasonal influences and other patterns.

  • Theory and machine learning

Key information

Start dates & application deadlines

You can apply for and start this programme anytime.




  • Self-paced
  • Continuous support with feedback on request

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

No prior degree required

Technological requirements

Your computer or laptop must have a reasonable memory, a well-functioning webcam, a good sound card and is preferably not older than +/- 5 years. In addition, you should be able to easily install new software on it. Note: Chromebooks, iPads and Android tablets are not suitable for this.

Tuition Fee

To alway see correct tuition fees
  • International

    3295 EUR/full
    Tuition Fee
    Based on the tuition of 3295 EUR for the full programme
  • EU/EEA

    3295 EUR/full
    Tuition Fee
    Based on the tuition of 3295 EUR for the full programme


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Analytics with Python
Winc Academy


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