Python Foundation
Berlin | Data Analytics Courses
2 sessions / week
This is a FREE course
ReDI Career Track: Data Analytics
Become a Data Analyst
Course Overview
In this 14-week course, you build your foundation in Python for your Data Analytics / Data Science, Machine Learning & AI journey. You learn the basic concepts of Python for analyzing data. This is the beginner course of the Data Analytics / Data Science & AI track.
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Fundamentals of Python
Operators & Precedence
Conditional Operations
Using and Writing Function
Using Libraries
Version control with Git & GitHub
Error Handling
Introduction to Data Analysis
How to use python to analyze data
Pandas
NumPy
SQL
Basic Visualizations
Project
Job Readiness: Soft skills through career trainings geared towards preparing you for job applications & interviews, networking events and job fairs.
You will learn from experts in the industry to start a career in tech.
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you are able to understand and speak English
you can commit at least 10 hours a week (classes + self-study)
If you have a basic understanding of Python
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You can prepare yourself for this course by completing the following material.
Watch the How Computers Work YouTube series.
Watch this video titled Introduction to Computer Science for Beginners.
Complete: Python for programmers SkillsBuild
Learn more about the job market. Data Science, Data Analyst vs Engineer, Differences in Job Titles.
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you can run programs in Python
you have built your own Python project
you know what it takes to start a career in tech, how to set up a good Linkedin profile, and how to create a powerful CV.
you are ready to start the Data Analytics or Data Science & AI course at ReDI
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This course is held completely online via Zoom. It is important that you can attend both sessions per week.
In addition, homework, group projects and your personal study takes place online.
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• Career & Soft Skills Workshops, Company Visits
• ReDI Mentorship Program (mentors in the IT industry)
• ReDI Talent Pool (job listing platform)
• SkillBuild self-paced eLearning (by IBM & ReDI)
• You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.
Course Impressions
- Available in Berlin
- Fully online
- Mondays and Wednesdays, 18:45 - 20:45
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English
- The F24 admission period has ended. The admission for S25 will be opened from Dec 2024 - Feb 2025