Python for Data Analysis
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?
Anja will gladly help you further with custom training solutions
Anja van Ackern
Training Advisor
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?
With responsible AI legislation now here, machine learning explainability is not only a nice-to-have, it is a must-have!
Understand and use the most common ML explainability techniques – Learn today, apply tomorrow!
Different use cases require different explanations. Understand the advantages and disadvantages of each method.
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
