Monday
6:30-9PM
Session 1: Practice in small groups with the help of our experts and ask all your questions.
Excel has reached its limit. Learn the power of code and machine learning to manage big data sets and go faster in your job.
4.98/5 - 5,200+ students reviews
You manage large data sets and have reached the limit of Excel
Analyzing data in Excel is from another era. Start exploring your data efficiently with the Pandas library.
You analyze data all day long and you want now to predict results
Python is the most common code language in the world today. Using machine learning will help you gain insights into your industry and make data-driven decisions.
You're good at data analytics and you want to understand the basics of AI
Get strong foundations in Python programming and machine learning to get better at your current job.
Learn how to retrieve, filter, join, concatenate, or transform data without limitation thanks to its Pandas library and the Jupyter interface.
Find your insights and share your results thanks to vizualization and dashboards using the best libraries such as Plotly, Facets, or Kepler.
Discover the possibilities offered by machine learning, identify the main stages of the development cycle of an Artificial Intelligence algorithm, and anticipate the risks of algorithmic bias.
Use the best Machine Learning libraries, such as Scikit-Learn or PyCaret to respond to real world business cases and make the best decisions.
Schedule
Monday
6:30-9PM
Session 1: Practice in small groups with the help of our experts and ask all your questions.
Tuesday & Wednesday
Asynchronous
Prepare for Session 2 with the online video lesson. If you have time, review the exercises from Session 1!
Thursday
6:30-9PM
Session 2: Practice in small groups with the help of our experts and ask all your questions.
Friday to Sunday
Asynchronous
Prepare for Session 3 with the online video lesson. Remember to review the exercises from Session 2 earlier in the week.
Check out our curriculum week after week.
In practice:
In practice:
In practice:
In practice:
Discuss your career
Decide which course is the best for you
Understanding your financing options
Get introduced to our methodology
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