Python for data analytics
During this training, we learn how we can analyse data using Python. In the last few years, the fields of data analytics and data science became of great importance throughout the professional world. At the same time, we notice a spectacular growth in the popularity of Python in this field: it is on its way to become the leading language in scientific and business data analysis. Python's general strengths as a multi-purpose programming language, combined with a number of specialised libraries, make it a very valuable tool for exploring, analysing, and visualising all sorts of data.
In this course we look at the possibilities of Python in the field of data analysis and visualisation, including popular libraries such as NumPy, Pandas and Matplotlib.
Schedule
| date | dur. | lang. | location | price | |
| 04 Dec | 3 | web based | 1800 EUR (excl. VAT) |  guaranteed | |
| 04 Dec | 3 | Woerden | 1800 EUR (exempt from VAT) | ||
| SESSION INFO AND ENROLMENT | |||||
Intended for
This training is aimed at whoever wants to start practising data analysis: developers, data scientists, data architects, marketeers, and anyone who needs to manipulate, visualize, or summarize their corporate 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
- XML, HTML, JSON
- Data Wrangling and exploratory analysis
- Concatenating, merging and joining data
- Transforming data
- Pivoting
- Handling missing data
- Data aggregation and Grouping
- Regular Expressions (optional)
- Visualisation
- The Scientific Python ecosystem (SciPy)
- NumPy
- Pandas
- Matplotlib
- IPython and Jupyter Notebooks
- Other useful packages
Training method
Classroom training with demos and practical exercises.
Duration
3 days.
Course leader
Arnout Veugelen.
Reviews
4.5/5 (based on 31 evaluations; the most recent ones are shown below)
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It was really informative for me, also as I have less practical knowledge in python I could still follow the training.
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| (Jitty Thomas, ABN AMRO, ) |
The course was really in-depth and explained well
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| (N.N., Euroclear, ) |
good, I feel myself more comfortable with Python after this course
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| (Anastasia, ) |
It was very well presented, interesting,useful and fun!
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| (Nina Sender, ING - Laanderpoort, ) |
Goede cursus, locatie en overige ook prima.
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| (Jens, ) |
Zeer positief, zie al uit naar een volgende cursus bij ABIS.
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| (Bieneke Berendsen, KPN, ) |
Erg goed, veel geleerd van de fundamenten van data analyse.
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| (N.N., ING - Laanderpoort, ) |
Also interesting
Enrollees for this training also took the following courses:
| SESSION INFO AND ENROLMENT |