Coding mini-bootcamp: Learn Python fundamentals in 10 hours - 2 to 6 Dec 2024

Do you want to learn how to build AI-models in 10 hours? SSE Tech Initiative is offering you the opportunity to attend an exclusive mini-bootcamp where you will learn to code with machine learning algorithms.It consists of five 2-hour workshops during one week. No prior experience required! Read more and apply below!

Start time: 2024-12-02 at 15:00

End time: 2024-12-06 at 17:15

Location: Stockholm School of Economics

During this mini-bootcamp, you will get the basics of Python, the world's fastest growing programming language. Plus, you will learn how to use it to solve real-world business cases using machine learning.

The workshop series is about learning to code by getting your hands dirty. You will need to bring your computer, so that you can code along while concepts are explained. It is going to be intensive, hands-on, business-focused, and outcome-oriented.

Participants are limited to 15. Make sure to submit your application no later than October 15.

How to apply: Please follow the link below to submit your personal details as well as a 250-word statement of motivation. Last chance to apply: close of business October 15. Outcomes of application will be communicated by October 31.

SSE grade transcript: Every student who successfully completes the bootcamp will receive “Completed intro to Low Code app development” in their degree certificate under Formal Extracurricular Activities. Attendance is compulsory.

APPLY HERE

The bootcamp structure:


	Day 1: Python Fundamentals Data types in Python Data Structures If-statements and conditional logic Loops List comprehensions Functions


	Day 2: Python for Data Analytics Beginner DataFrame vs Series Inspecting Data Selecting Columns Intuition in Pandas Method Chaining in Pandas Filtering Data Filtering Data with advanced conditional logic


	Day 3: Python for Data Analytics Intermediate Most Useful Methods for Data Analysis Group By, most important concept for analysis Reshaping Data with Pivot tables and Crosstab Data Visualization


	Day 4: Machine Learning Case Predicting Churn, Fraudulent transactions, or Hotel bookings with a ML workflow using a Classification algorithm like Support Vector Classifier, Random Forest Classifier, or Logistic Regression


	Day 5: Building an ML-app using ChatGPT’s API To wrap up, the participants will get to build an app using ChatGPT’s LLM.

The mini-bootcamp is delivered by Nod Coding, a Stockholm-based programming bootcamp provider.

Additonal learning

There will be additonal exercises ("labs") for you to practice and integrate the concepts explained during the codealong sessions. There will be four labs which will take roughly two hours each to complete. The instructor will also be available one hour after each codealong session to assist with questions related to the labs. He will also ask you to send in the labs so that he can correct them and give them feedback on your code. Please note that these labs are optional but highly recommended to complete.

The Tech Initiative is brought to you by SSE’s House of Innovation.

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