Data Analytics with Python

Berlin | Data Analytics Courses

1 session / week
This is a FREE course

Course Overview

• How to analyze data using Python, allowing you to understand the data and extract useful information from it
• How to use the Pandas library to manipulate and explore your data
• How to visualize data to understand it better, using Seaborn, Matplotlib, and other tools
• How to program in SQL (Structured Query Language), a useful tool to manipulate and answer questions about relational databases and visualize data with Mode
• To use the fundamental concepts of statistics and apply them effectively
• To develop analytical thinking skills, by working on multiple projects using real world data
• How to create your own Dashboard summarizing your findings, and how to communicate your ideas successfully.
• 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.
- You identify as female or non-binary
- You can speak English
- You are comfortable with the basics of coding in Python
- You can commit at least 10 hours a week (classes + self-study)
- You are based in Berlin
- Career & Soft Skills Workshops & Trainings, Company Visits
- ReDI Mentorship Program (mentors in the IT industry)
- ReDI Talent Pool (job listing platform)
- Further Online Learning resources such as IBM SkillsBuild self-paced eLearning (by IBM & ReDI)

Course Impressions

Testimonials

“The ReDI School has had a tremendously positive impact on my career path. I'm still wondering what to do next, but I know that integrating digital skills definitely opens doors.”

“I am just a newbie to Tech and I see a long way ahead, but I always feel motivated. Thank you and I am glad that ReDI is always by my side throughout this journey.”

“When I say the opportunity I had at ReDI School was life changing, it was because I saw that it was worth coming here, betting my last coins and actually staying in Berlin and bulding my life here. Everything is still in a process. But for the first time, I feel strong enough and useful with the skill I learned this semester. Thank you”

Available in Berlin
Saturdays from 10:00 to 13:30
Spring Semester: March-June
Fall Semester: September-December
Teaching language: English

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