Python for Data Analysis
22 april, 2025 – Amsterdam, The Netherlands
Join this course to learn the fundamentals of Python, the most popular programming language, and how to use it for effective data analysis. This two-day training gives you all the knowledge you need to start using it to extract insights and solve problems.
Looking to upskill your Team(s) or organization?
Rozaliia will gladly help you further with custom training solutions
Rozaliia Khafizova
Data and AI Training Advisor
Duur
2 dagen
Tijd
09:00 – 17:00 (GMT +2:00)
Taal
Engels
Lunch
Included
Certificering
Nee
Level
Foundation
What will you learn?
After the training, you will be able to:
Write and interpret fundamental Python code
Extract insights from data through data manipulation with Python
Apply best practices for data analysis with Python
Explain the benefits of working with Python for data analysis
Program
- The different data types, including integers, floats, strings, booleans, and lists
- Use conditionals to only execute code under certain conditions
- Write for loops to repeat a specific code segment multiple times
- Create functions with parameters to easily reuse your code with different arguments
This training is for you if:
You are excited to learn the world’s most widely used programming language
You are over Excel and ready to embrace Python (and all its advantages) for data analysis
You want a personalized, instructor-led training to learn best practices right from the start
You want to easily share your data analyses with colleagues
This training is not for you if:
You only use Excel and you want to keep it that way
You already have some experience with Python and are interested in gaining data science skills (check out our Data Science with Python training instead)
You are an experienced programmer in another language, but simply unfamiliar with Python (get in touch and we’ll help you find the right course instead)
Why should I follow this training?
Get confident with the most popular coding language
Hands-on training with real life examples – learn today, apply tomorrow!
Learn how to apply the best practices in data analysis
Hoe ziet het eruit?
What else should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.
See you soon!
Course information
All literature and course materials are included in the price
Information on the software and tooling will be shared before the start date
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams
Meet the Trainers
Lucy Sheppard
Meet Lucy Sheppard, trainer at Xebia Data. Lucy is a data science trainer and teaches many Python courses as well as dbt Learn.
James Hayward
Meet James Hayward, a data science trainer at Xebia Academy. Get to know him here.
Lysanne van Beek
Lysanne is a Data Science Educator at Xebia Data and loves making courses as accessible as possible. With over 1,000 hours of training experience and over 750 students taught, she’ll make sure you get the most out of your training.
Nitin Bhushan
Meet Nitin Bhushan, trainer at Xebia Data. Nitin is a data scientist and teaches many data and AI related skills.
Enrico Erler
Meet Enrico, a data science trainer at Xebia Academy with a passion for Deep Learning and Statistics. Get to know him here.
Also interesting for you
View all training coursesDive into the world of data science through data analysis and machine learning. Sign up for Data Science with Python (Certified).
Learn how to identify, develop, and execute AI use cases in our Certified Analytics Translation training course.
Learn to use SQL querying your data to unveil invaluable insights.
