Data Analytics
NRW | Data Analytics Courses
2 sessions / week
This is a FREE course
ReDI Career Track: Data Analytics
Course Overview
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1. Data Analytics
• Basic and composite built-in data types; Introduction to series
• DataFrames. Indexing and slicing; Missing values
• String processing and regex; Groupby and aggregation
• Joins & concat/unions
• Visualization
• Types of Plots; Intro to Matplotlib and Seaborn
• Customize your plots
2. Career Workshops
• How to start a career in tech
• How to polish your Linkedin profile
• How to write a great CV
• How to master the Interview process.
3. Job Readiness: Soft skills through career trainings geared towards preparing you for job applications & interviews, networking events and job fairs.
4. 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 have experience in self-study
you can commit at least 10 hours a week (classes + self-study) 80% attendance of the course is required for graduation.
you have a good understanding of Python
you registered on dataquest.io and finished the following modules:
Python for Data Science: Fundamentals (first 3 modules only)
Python Intermediate: Cleaning and Preparing Data in Python
Introduction to Pandas and NumPy (first 2 modules)
Elements of the Command Line (first module only)
Note: Graduates from our Introduction to Python will be preferred!
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Build a Data Science Pipeline with Python; Know about Data Science Tools (pandas, sklearn, ...)
Get the Data Science mindset; Tell a Data Science Story
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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 NRW
- Online
- Classes: Mon & Wed 19:00 – 21:00
- Spring Semester: March-June
- Fall Semester: September-December
- Number of students: 15
- Teaching language: English