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 & AI journey. You learn the basic concepts of Python for analyzing data. This is the intermediate 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
Introduction to Data Analysis
How to use python to analyze data
Pandas
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.
Complete the Preparation Material Google Colab
Please create a copy of the Prep Material Google Colab
Complete the Challenge
You find supportive resources and material in the Colab if you want to deepen your knowledge of the concepts.
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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You have two sessions per week. One is taking place online, the other one on-site.
Mondays: Online Session
Wednesdays: On-site at the Factory Görlitzer Park, Berlin
Homework, group projects and your personal study takes place online. It is important that you can attend both sessions per week. You cannot take -this course purely 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
- Online and offline
- Mondays and Wednesdays, 18:45 - 20:45
- Spring Semester: March-June
- Fall Semester: September-December
- Teaching language: English