World Business StrategiesServing the Global Financial Community since 2000

Schedule

Time Day 1
08:30 – 09:00 Registration and welcome
09:00 – 10:00 Lecture 1: The fundamentals of the Python programming language and Jupyter notebooks
10:00 – 10:30 Tutorial 1
10:30 – 11:00 Coffee break
11:00 – 12:00 Lecture 2: Advanced Python features; distributed task queues with Celery
12:00 – 12:30 Tutorial 2
12:30 – 13:30 Lunch
13:30 – 14:30 Lecture 3: Python libraries for working with data: NumPy, SciPy, Matplotlib, and Pandas
14:30 – 15:00 Tutorial 3
15:00 – 15:30 Coffee break
15:30 – 16:30 Lecture 4: Machine Learning with Scikit-Learn; Deep Learning with Keras, TensorFlow, and Theano
16:30 – 17:00 Tutorial 4
17:00 – 18:00 Lab

  • Discount Structure
  • Special Offer
    When two colleagues attend the 3rd goes free!

  • 50% Academic Discount
    (FULL-TIME Students Only)

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