February 3rd - February 7th, 10am-5pm Daily---- Total in-Class Hours: 35
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Our program is designed to be a base for a career in the tech industry. Learn from scratch to comfortably program in Python.
We teach the fundamentals of programming, and the best practices for real life opportunities. After finishing our program, you will have a solid foundation for a career in Data Science, Application development, and information technology operations. Get started in the world of software development, and go from zero knowledge of programming to comfortably writing programs in Python. Get yourself ready for a job interview in the tech industry.
One week, Monday to Friday from 10am to 5pm. Total in-Class Hours: 35 Typical studying day starts at 10pm with a previous day recap and completing previous exercises. Lecture on new topics takes about two hours and starts at 11.00pm. After lecture, students start working on new exercises with instructor guidance. Around 3pm students present and discuss their work with instructors, learn alternative solutions, and best practices from instructors and invited professional programmers.
Who this program is for: Novice and people with no previous programming experience, seeking a comprehensive course to enter the tech industry.
Career services:
By the end of the week you would have a portfolio of projects and code samples on GitHub to show to employers. We will guide you step by step through the process how to build and improve your resume for an Entry-Level position in the Tech industry. We will teach you the best practices on GitHub and help you organize your code to show a portfolio of projects to employers. We will help you to deliver your resume to a startup community.
You will learn:
Prerequisites & Preparation:
Laptop
Python Immersive syllabus:
Week One
Day 1
• Terminal commands
• Git versions of common source management concepts and commands
• Variables
• Data types: strings, integers, floats, lists
• For loops
• Practical Exercises
Day 2
• Functions
• Data types: tuples, dictionaries, sets
• If statements
• While loops
• Indexing and slicing
• Python's datetime module
• Practical Exercises
Day 3
• Reading from a File
• Making a List from a File
• Analyzing a File’s content
• Regular expressions
• Writing to a File
• Appending to a File
• Practical Exercises
Day 4
• Big-O notation
• Data structures
• Binary search
• Bubble Sort
• Insertion sort
• Selection sort
• Merge sort
• Exercises
Day 5
• Week 1 Review and Q&A
• Project Work
• Weekly Quiz