EARN MORE AND SPEND LESS WITH DATA-DRIVEN DECISIONS
ENTER THE PYTHON: DATA SCIENCE AND AI
If you couldn’t hit all your 2021 New Year Resolutions, becoming fluent in Python could be just what your team needs to win 2022. We call it Enter the Python because it’s less about memorization and more about immersive learning. Available for company, nonprofit foundation and policy maker teams now. No programming background required.
DATA SCIENCE AND AI VIRTUAL COURSE
This virtual course is for people with an interest in learning Python for data science, data analytics and machine learning goals.
There are three levels to the course: beginner, experienced and advanced, depending on student familiarity.
No background is required other than a desire to learn. Emphasis is on student convenience, comfort and happiness.
Learn data structures, modern programming and many other topics such as data manipulation, visualizations, machine learning, version control and more! Get a good understanding of complex data structures, and let your data analyses unpack issues like algorithmic bias and social impact.
Minimum time commitment: 32 hours.
For example: 2 hours a day for about two weeks (16 days).
Please get a sense of what works best for you and your team, as we are here for you. Our training is designed to be comprehensive to make you as comfortable as possible. We appreciate that students tend to be working and must focus on their primary job tasks and responsibilities, so we do our best to be flexible to the needs of various teams wherever possible. We focus mostly on hands-on active learning.
Don’t hesitate to get in touch if you have questions.
INVEST IN YOUR TEAM
Contact us for availability.
We help make your team more results-motivated and productive in a cost-effective and time-saving way.
Make your organization more data-driven. Attract and retain quality employees by investing in the growth and morale of your colleagues.
Teaching material is taught to professionals by a former faculty of the University of California, Berkeley and former information science of Cornell University. None of the material reflect the perspective of any university.
Kweku Opoku-Agyemang, Ph.D.
Professor-in-Chief, Data Science and AI Course, MLXT, Machine Learning X Doing
Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics and a former computer science researcher at Cornell University. He has advised Google scientists, given talks at Meta, presented to government officials from 12 countries and others.
A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning x Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential. He is based in Toronto, Canada.