Python Foundations

Development Environment

• IDEs

• Version control with Git & GitHub

Introduction To Prgramming(Python):

• Basic python programming

• Data types, variables

• Operations, Conditionals, Functions

• Python classes and objects​ (OOP)

• Using libraries

Advanced Topics (Time permitting)

• Data Analysis with Python

• Pandas

• Basic Visualizations

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 have an interest in programming.

• You are familiar with basic computer terminology.

• You are confident with using a computer, creating files and folders, and browsing the web.

• You are looking for a basic course to start your journey into Data Analytics.

• You can commit at least 10 hours a week (classes + self-study), 80% attendance of the course is required for graduation.

• You can commit at least 8 hours for career workshops or trainings during the semester.

• You are able to understand and speak English.

• Watch the How Computers Work YouTube series.

• Watch this video titled Introduction to Computer Science for Beginners.

• Watch these introductory videos on the topics we will cover in Intro Computer Science.

• You will have written a first program with Python, including loops, variables and functions.

• Have received an introduction to Data Analysis

You can continue with Intermediate Python for the Data Analytics Track

• Career & Soft Skills Workshops, Company Visits

• ReDI Mentorship Program (mentors in the IT industry)

• ReDI Talent Pool (job listing platform)

• SkillBuild Self-paced learning (by IBM & ReDI School)

• You should expect to spend a minimum of 8 hours for career workshops or trainings during the semester.