Python Foundations

What is the course about?

Start your journey into Data Analytics, Machine Learning, and AI with the Python Foundations course! This beginner-friendly course helps you build a strong foundation in Python programming, perfect for analyzing data and solving real-world problems.

Over 14 weeks, you’ll learn essential programming concepts, work with popular data tools like Pandas and NumPy, and explore basic visualizations to bring your data to life. By the end of the course, you’ll have practical experience, completed projects, and the confidence to continue your path in Data Analytics or AI. Join us and take the first step toward an exciting tech career! This is the beginner course of the Data Analytics & AI track.

Course Details

• Classes: Monday and Wednesday, 19:00 - 21:00

• Time Invest: 15 hours per week

• Timeline: Start Date is 10th of March 2025, End Date is 19 of June 2025 (14-weeks)

• Hybrid: Certain events take place in person in the following locations: NRW, Berlin, Hamburg. More information

Why should you take this course?

• Projects - Apply your knowledge to a real-world data analysis project.

• Content - Learn syntax, operators, conditional logic, functions, and error handling, use libraries and manage code with Git & GitHub. Work with Pandas, NumPy, SQL, and create basic visualisations.

• Your Start - This course is the perfect starting point for your journey toward becoming a Python developer, or moving forward towards the fields of Data Analysis, Machine Learning, and AI. By the end of the course, you will have a solid foundation in Python, a GitHub portfolio showcasing your project, and a ReDI Certificate. Afterward, you can advance your skills by enrolling in the Data Analytics course.

• Industry Experts - The teachers are volunteers from the industry. They are experts in web development and will help you start your journey toward a tech career!

Learning Format

In the two weekly sessions, teachers introduce key concepts to the students and practice them with small exercises and live coding. Next to the two sessions, students are asked to apply the newly learned concepts in weekly homework and a final project.

Weekly Homework

Every Wednesday, students will receive homework to be submitted by Sunday evening. Homework review is part of the Monday session. There is a requirement for students to complete 80% of the homework throughout the course in order to graduate. Homework is not graded.

ReDI Style

This course is about active participation. You will be asked to work independently on weekly homework to apply your newly learned skills. You are in charge of your learning journey. Are you ready to work hands-on and participate actively in the sessions? Then join us!

Course Outline

The Course outline may be changed before the start.

Week	Topic	Content
1	Kick-Off	Teachers & Students get to know each other
2	Preparation	VS Code, Notebook extension, etc.
3	Intro to Python Conditionals & Operators	Intro to Python: Input, Output, Data Types (int, str, bool, float) Conditionals & Operators & Intro to functions
4	Flow Control	Flow control 1: lists, for/while loops, list comprehension (optional) + Functions continued
5	Libraries IDE	Libraries & packages + date time IDE Installation
6	Preject	Preject Intro: review tools (meeting & scheduling for peerwork)
7	Git	Git & GitHub Desktop
8	Dicts	Nested Dicts, Json Parsing, Requests and Error Handling. Intro to Pandas
9	Pandas	Pandas
10	Career Week	Students can participate in a variety of career workshops.
11	SQL	SQL
12	Final Project	Students implement what they have learned in a final project.
13	Final Project	Students implement what they have learned in a final project.
14	Demo Day	Students present their final project.

A typical week

Monday 19:00 - 21:00

Every Monday from 19:00 to 21:00, you have an online session in which you discuss your homework and where you will be introduced and practice new concepts.

Wednesday 19:00 - 21:00

Every Wednesday from 19:00 to 21:00, you have an online session where the volunteer teachers introduce you to new concepts. They will share the weekly homework with you in this session.

Thursday - Monday

You work on your weekly homework. That means you will be coding hands-on by yourself! If you run into problems, you can contact your class on Slack. You upload your homework before the Monday session.

Onsite Activities

Based on your location there are different on-site activities. Find out more below.

Berlin

If you are located in Berlin and surrounding, we invite you to four on-site community events throughout the semester.

NRW

If you are located in NRW, we invite you to four on-site community events throughout the semester. The Demo Day will also take place in person in Düsseldorf.

Hamburg

If you are based in Hamburg, you will join the course four times in person: Onboarding, two regular course sessions, and Demo Day.

Timeline

Month	Topics	Description
January	Open Day Apply	Complete the application form and finish your prework.
February	Student Interviews	Students are interviewed for the course.
March	Kick-Off Course runs	We kick-off the semester.
April	Course runs	You join the sessions and work on your project.
May	Course runs	You join the sessions and work on your project.
June	Course runs Demo Day	The course finishes! Students present their final project.

After the course

• You will have written a first program with Python, including loops, variables and functions

• You have received an introduction to Data Analytics

• You are prepared to continue with the Data Analytics course

How to Graduate from the Course?

To graduate and receive the ReDI Certificate, we ask you to:

• Attended 80% of the sessions (We have a camera on policy)
• Submit 80% of homework and a final project

Is this course for me?

• you are interested in writing code and analyzing data

• you can understand and speak English

• you can commit at least 15 hours a week

• you are eager to work on projects

• you are committed to working in the ReDI style

How to apply?

1

Join Open Day

Optional for current ReDI students. Join us to find out more about the courses and requirements.

2

Complete Prework

Complete it before the application deadline. Start early! The Prework might take up to 20 hours in total. The deadline is stated in the email with the link to the application form.

3

Hand in Application Form

We ask you for the link to your completed prework in the application form.

4

Interview (24.02 - 28.02)

Depending on your course, you may be interviewed by the teachers.

5

Onboarding (10.03)

Your course starts!

Complete Your Prework

Start applying now by completing the Python Foundations Prework!

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FAQ

Not sure which track you are interested in?

If you don't have any experience with tech, apply to our introduction course: HTML & CSS, Infrastructure Basics, Python Foundations or UX/UI Design Bootcamp. To understand which tech career interests you, check out the following link:

• How to choose a tech career?
• Career Changer Playbook
• Career Tech Guide

Not sure which course level to apply for?

Check out the Prework of the different levels. If you are a little bit challenged but able to complete a Prework, then the level is right for you.

🤖 Unsure about the course?

Try out our AI Chatbot on Open AI (you need a ChatGPT account to access it). Please keep in mind that the Chatbot might make mistakes. You can find all the correct information on the Applicant Hub.

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💬 Still unsure what to do..?

You tried our AI Bot - and it couldn't fully help you ..? In that case, please go through the Applicant Hub thoroughly. The answer is probably in here 🎉. Alternatively, you can reach out to us via email: [e-mail].