Meet the 18-Year-Old Getting His Master’s Degree in Data Science
With the University of Colorado Boulder's performance-based admission, Stanislav Liashkov was able to jump from high school to a master's degree.
December 20, 2023
Article · 4 min read
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Recommended experience
Intermediate level
Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook, sklearn
Recommended experience
Intermediate level
Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook, sklearn
Load, clean, analyze, process, and visualize data using Python and Jupyter Notebooks
Produce an end-to-end machine learning prediction model using Python and Jupyter Notebooks
Add to your Coursera profile
Use a Coursera Lab, a pre-configured in-browser cloud workspace (only available on desktop)
In this coding challenge, you'll compete with other learners to achieve the highest prediction accuracy on a machine learning problem. You'll use Python and a Jupyter Notebook to work with a real-world dataset and build a prediction or classification model.
Important Information: How to register? To participate, you’ll need to complete simple steps. First, click the “Start Project” button to register. Next, you’ll need to create a Coursera Skills Profile, which only takes a few minutes. We’ll send you a profile link the week of the challenge. When does the challenge start? The coding challenge begins Tuesday, August 29th, at 8 AM (PST) and closes Thursday, August 31st, at 11:59 PM (PST). If you’re registered, you’ll receive a reminder email on the challenge start date. Please note this is a timed competition. Once the challenge is unlocked, you’ll have 72 hours to complete it. You can submit as many times as you would like within this timeframe. What will the winners receive? Participants will be evaluated based on their model’s prediction accuracy. The top 20% of participants will receive an achievement badge on their Coursera Skills Profile, highlighting their performance to recruiters. The top 100 performers will get complimentary access to select Data Science courses. All participants can showcase their projects to potential employers on their Coursera Skills Profile. Winners will be notified by email the week of September 10th. Good luck, and have fun!
This project requires you to independently complete the following steps:
Importing and preprocessing data
Analyze the data
Build machine learning models
Evaluate machine learning models
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Projects give you real-world challenges to solve with industry tools, and produce work samples that you can add to your Coursera Skills Profile to help you stand out to employers.
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