Switch fields or improve your career by learning how to analyze data in Python, and take measurably better business decisions. No prior programming experience required! Step up from basic computer knowledge, and unlock the power of Python's open source ecosystem.
Join a small cohort (10 person max!) of students, and get personalized feedback and 1-on-1 time with your instructor. You may bring your own project, you will get help!
Monday: intro | Tuesday: getting help | Wednesday: data analysis | Thursday: data import and export | Friday: constraint optimization | |
---|---|---|---|---|---|
AM (9 to 12) | Learn what is Python and how to run Python code Discover the basics of Python syntax |
Bird's eye view of Python's ecosystem Learn how to find help and unstuck yourself |
Learn data analysis and visualization Juuust a little bit of statistics |
Learn how to scrape, import and export data, Use Python to create web apps and APIs. |
Learn how to optimize business problems and allocate resources efficiently |
PM | Challenges 1 & 2 office hours & 1-on-1 sessions optional challenges for the best students |
Challenges 3&4 office hours & 1-on-1 sessions optional challenges for the best students |
Challenge 5 office hours & 1-on-1 sessions Start of personalized project |
Challenge 6 office hours & 1-on-1 sessions End of personalized project |
Challenge 7 office hours & 1-on-1 sessions optional projects presentation |
This structured yet flexible approach ensures that you not only learn Python theoretically but also gain the confidence to apply it practically in various contexts – be it in data analysis, automating business processes, or developing your own applications.
Learning Python will open up career opportunities. First given in 2016 to business school students, this course has been continuously improved to cater to a diverse range of individuals who want to switch careers, or improve their existing data analysis, automation and management skills. Find out if you're one of them!
Join Our Growing Community: Upon completion of the course, you will be added to an exclusive mailing list connecting you with fellow graduates. This network is a valuable resource for continued learning, networking, job opportunities, and collaborative projects. As our community grows, so does the value it brings to each member.
Edouard Klein, a distinguished data scientist and AI expert, has been at the forefront of technological innovation and education since 2010. With a PhD in Computer Science, Edouard has made significant strides in AI, developing new algorithms and contributing to international conferences like ECML and NeurIPS. His work transcends academic research, marked by practical application and teaching roles at prestigious institutions like Supélec, ESSEC, la Sorbonne, and other lesser-known schools.
In the realm of engineering, Edouard's background in electronics and his expertise in statistical learning, data science, and AI are unparalleled. His tenure as the head of research and development for the national cybercrime unit of the French Gendarmerie Nationale exemplifies his ability to blend theoretical knowledge with real-world applications, a skill crucial in teaching Python effectively.
His journey is not just about technical proficiency; it's about applying these skills to solve complex problems. From implementing advanced statistical models for crime prediction to dismantling a money-laundering ring using graph theory, Edouard's experiences bring a rich, practical perspective to his teaching. Join him in exploring Python's versatility and empower yourself to make data-driven decisions in your professional life.
Here are some excerpts from the anonymous student feedback from the Essec business school:
You can book a private session for your whole team, advantages include:
Shoot an email to hands-on-python -at- beaver-labs -dot- com and get a quote !
Book a free 15 minutes 1-on-1 session with your future instructor ! I will answer all your questions, point you to the relevant resources, and help you kickstart your transition into the wonderful world of computer programming. No strings attached.
Of course, if no suitable slot is available, you can always send an email to hands-on-python -at- beaver-labs -dot- com.
To get started with our course, you should be comfortable with high school level mathematics and basic computer skills like understanding what windows and files are. No prior programming experience is required.
Yes, it's essential. Our course is intensive and designed to maximize learning within a week. Clearing your schedule ensures you can fully engage with the content and benefit from the interactive sessions and challenges.
If you're referred by someone, enter their email in the "referred by" field on the signup form. You'll receive a 10% discount, and the person who referred you gets 10% of their payment back post-course. To refer someone, sign up and make sure they use your email address when they sign up. They save 10%, and you'll be refunded 10% of your fee after the course concludes.
Absolutely! For group bookings, contact us at hands-on-python -at- beaver-labs -dot- com. We offer discounts for enrolling together in a public session or can arrange a private session tailored to your group's needs. We're also open to signing NDAs and customizing the course content for an additional fee.
While we don't issue certificates, the course is designed for you to build a practical portfolio. This portfolio will showcase your new Python skills and projects, serving as tangible proof of your learning and capabilities.
If none of our listed sessions fits your timezone, please reach out to us at hands-on-python -at- beaver-labs -dot- com. We're committed to accommodating diverse schedules and can arrange sessions that work within your timeframe.
Unless otherwise explicitely specified, the course is conducted in English. You don't need to be a native speaker to participate; a conversational grasp of English is sufficient to follow the course material and engage in the sessions.
We value your privacy and online safety. Our website is free from cookies, javascript, or any form of client-side tracking, ensuring your browsing experience remains private and secure. However our payment processor, to which you will be taken when you book the course, uses many form of tracking to prevent fraud. You may contact us at hands-on-python -at- beaver-labs -dot- com in order to discuss other payment options.
The EU gives you a right to access the data we have on you, but because we don't collect any data on you (shocking, in this day and age), this point is kinda moot. If you gave us your email address and want us to forget about it, reply to one of our email and tell us so.
This website and the course it proposes are operated by SASU Beaver Labs, a one-person company incorporated in Paris, France. Its registration number is 837 810 100 00029, its official business address is 72 rue Hermel 75018 Paris.
Because this course is sold online, it is mandatory to provide a link to the Online Dispute Resolution EU platform: https://ec.europa.eu/consumers/odr/main/index.cfm
Terms and conditions: all purchases are final. If you can't attend the course after you booked it, we will try to work with you by e.g. rescheduling you to a later session, but this will be a "best-effort" commitment, and not a legally binding guarantee.
Legally speaking, we are entitled to keep all your money, and provide the course and the agreed-upon date. However, we rely on word-of-mouth and reputation to sell this course, so we will do our best to find a solution agreeable to both parties.
If your reason for not attending is valid, it is highly likely that your credit card has a built-in insurance that can kick in. We advise you to use the best card you have to make your purchase. Please verify the terms and conditions with your card provider.
If we are unable to provide the full course at the agreed-upon date we will, at your convenience, either reimburse you in full or book you on a later session.
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