Python Foundation
Online | Data Analytics Courses
2 sessions / week
This is a FREE course
If you're interested in our Fall semester, please fill out the interest form to stay informed.
ReDI Career Track: Data Analytics
Become a Data Analyst, Data Scientist, Data Engineer
Course Overview
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Brief introduction of Python
Basic data types (booleans, numbers, strings, lists, dictionaries)
Usage of variables
Operations (Logical and Arithmetic)
Boolean logic and decision making
Conditionals (if, if else, else)
Iterative programming
Functions (parameters, return value)
Strings and String Operations
Data Manipulation
Object-oriented Programming
Modules
Language constructs & Tools
Error Handling, Debugging, and Testing
Linting
Introduction to Pandas
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 have successfully completed ReDI Introduction to Computer Science or equivalent.
You have a basic understanding of computer programming in any programming language with familiarity to concepts like variables, conditional statements, loops, arithmetic operations and boolean logic, algorithms etc.
You are able to understand and speak English.
You can commit at least 10 hours a week (classes + self-study) 80% attendance of the course is required for graduation.
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Introduction to Programming and Computer Science
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You can write, execute and debug 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 course at ReDI.
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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.
- Online Course
- Mon and Wed, 19:00 - 21:00
- Spring Semester: March - June
- Fall Semester: September-December
- Teaching language: English