Data Analytics with Python

• 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, 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.