Data Science has become a popular occupation with Harvard Business Review dubbing it “The Sexiest Job of the 21st Century” and McKinsey & Company projecting a global excess demand of 1.5 million new data scientists. This track teaches you the knowledge and skills necessary to conduct sophisticated and systematic analyses of data using the industry’s most adopted programming paradigms, the R and Python languages.
Learn the concepts of data analytics and build solutions using technologies such as R and Python.
- Calculus, Linear Algebra, Introduction to Statistics, introduction to Python and R, and set of corresponding exercises.
- Weeks 1-3
- Data Science Toolkit and Data Munging with Python, Statistical and Experimental Design Techniques using R.
- Weeks 4-7
- The core of the program: Machine Learning, Data Visualization, Natural Language Processing.
- Weeks 8
- Deep Learning/Neural Networks: Image segmentation, autoencoder, TensorFlow and Keras.
- Weeks 9-11
- Hands-on “Capstone” Data Science project under the supervision of tutors and business leaders across different industries.
- Weeks 12
- CV-building, interview skills, mock interviews, job search strategy, presentation skills and communication.
Instructors and Teaching Assistants
Our instructors are really special people. Not only do they have professional experience and are masters in their respective subjects, but most importantly, they love to teach. They are there to learn from you as much as you will learn from them. The Teaching Assistants stay with you the entire length of the course and team up with the instructors to provide you with the necessary guidance to reach the finish line.
CTO at OTO.AI
I like to build cool things with data and machine learning, currently on a quest to capture and model what makes human conversation so special. I believe in creating impact through the combination of technology and education.
Data Scientist at Migros
As Data Scientist at Migros, I currently work on various projects advancing the retail customers’ experiences using data. I thrive on making a business impact with data products using Machine Learning.
Senior Data Scientist at LinkedIn
As Senior Data Scientist at LinkedIn, I focus on building scalable machine learning models for LinkedIn Sales, specifically within the LinkedIn Learning product. My passion is sharing my work and experience with others to help them become excited about data science!
Freelance Data Scientist
I enjoy nothing more than using machine-learning to build assistants to make humans better at doing their job. I believe Data Science is a team sport so it is the perfect opportunity to learn from and teach others.
Senior Data Scientist at Swiss Data Science Center
I love making data speak. Visualizations combine programming and art, logic and aesthetics, to help data communicate; it is always satisfying to guide students through these disparate disciplines to learn to read, appreciate, and design their own visualizations.
Research & Machine Intelligence at Google
I’m curious and I enjoy exploration: have yet to live in a city for more than 5 years. I studied Applied Math and CS, did a few software engineering internships and I’ve been exploiting this domain working on question answering at Google Research & Machine Intelligence.
Data Science Immersive
As a Data Scientist with a decade of experience in data mining, pattern recognition, and predictive modeling, Nitin has been there since the beginning. He helped deliver Switzerland’s first Data Science bootcamp and now manages the entire program, including consulting. Nitin’s motto is: “if a human brain can do it, one can make an algorithm do it!”
Data Science Immersive
Master in finance with a background in data engineering, Clemente is well experienced in data analysis for businesses development and forecasting. The search for the ultimate forecasting system has led him to Propulsion. Just don't ask him about Time Series and Fighting Game Bots unless you want to hear about it for hours on end.
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Class Structure and Campus Life
As a student at Propulsion Academy, get ready to go big! You will be emerged in a boot camp-style environment so expect to devote 40 hours in the classroom per week (with an additional 20-30 for course work) for lectures, exercises, and hands-on projects.
Unlike a traditional computer science education which is heavy on theory, our instructors give you a brief introduction of the concept at hand and then it’s straight to the exercises. It’s at this point that you become a “Hacker” by using any and all of your problem-solving skills.
In this process, you are not alone. The instructor is there to help and so are the teaching assistants. The magical part of the experience, however, is the bond you form with your fellow classmates who face the same challenges as you. Everyone works together to achieve the same goals and the relationships you form last a lifetime.