A three-day course just for your group. You choose the date and the place, and the trainer tailors the content to your practice beforehand.
Python is a powerful language for processing and analysing data. With a few lines of code you can extract insights from large data files that you would never find so quickly in Excel.
Lees het volledige programma van Python voor data-analyse
Wherever suits you: at your office, at one of our training locations or online. You also choose the date.
Yes. Before the course we discuss with you what the group can already do, where things go wrong in practice and what should be different afterwards. The trainer uses examples and exercises from your own work.
That depends on the course. For a skills course we prefer to work with a small group, so that everyone can really practise. If more people are involved, we schedule several groups or set up a fixed programme.
You receive a fixed price for the whole group, in a tailored quote. For a group this works out cheaper than booking everyone individually. By way of comparison: a place on the scheduled course costs € 1875,- excl. VAT per participant.
Yes. For in-company courses we deliver the training in the language of your choice, Dutch or English. Mention it in your request.
Yes, every participant receives a certificate of attendance afterwards.
Via the quote form: state the course, the number of participants and roughly where and when you would like it. An adviser will then contact you.
You learn to import, clean, analyse and visualise data files with Python. You work with numpy, pandas, pyplot and seaborn, and are introduced to time series, predictive analyses and web scraping with Beautiful Soup.
You have a basic knowledge of Python and some programming experience. You know what variables, lists, functions and loops are. Knowledge of statistics is an advantage, but not a requirement.
The course is suitable for developers, analysts, consultants and anyone who wants to analyse and visualise data with Python at work. Think of reports, dashboards and predictive models.
You work with numpy for numerical calculations, pandas for dataframes, pyplot and seaborn for visualisation, Bokeh for interactive charts and Beautiful Soup for web scraping.
You can work on your own laptop, with Python and Jupyter Lab installed in advance. Would you rather not? Then Learnit will provide a practice laptop for you.
Yes, you will receive a Learnit certificate of participation afterwards. This certificate confirms that you have attended the Python for Data Analysis course.
Excel works perfectly well for smaller datasets and simple analyses. Python is faster with large datasets, repeatable (you can run your code again on new data) and offers far more possibilities for statistics, machine learning and automation.
Pandas offers the DataFrame: a table-like structure in which you can quickly filter, group, merge and edit rows and columns. It reads CSV and Excel effortlessly and works seamlessly with numpy and visualisation libraries such as seaborn.
Request a quote without obligation and an adviser will get back to you shortly. Just one or two colleagues? Python for Data Analysis is scheduled 2 times in the coming year, in Amsterdam and The Hague.