Upcoming Sessions:

  • Nov 1 - Nov 23
    • Lectures Fridays  6:30 pm - 8:30 pm
    • Labs Saturdays  1 pm - 3 pm
  • Nov 26 - Dec 21
    • Lectures Fridays  6:30 pm - 8:30 pm
    • Labs Saturdays  1 pm - 3 pm

  • Nov 3 - Nov 24
    • Lectures Sundays  10 am - 12 pm
    • Labs Sundays  1 pm - 3 pm
  • Dec 1 - Dec 22
    • Lectures Sundays  10 am - 12 pm
    • Labs Sundays  1 pm - 3 pm

Level:

Intermediate certificate course

Duration:

16 hours (4 lectures + 4 labs)

Pice:

Regular:     $ 950 + tax

Python is currently the most used programming language in data science. It has had an explosive growth of interest in the last few years. It is a simple yet powerful language with many libraries available to make data analytics and machine learning easy to implement.

This 4 part course will give you an introduction to programming in Python for use in data science. We will focus on libraries that are commonly used in data science such as numpy, matplotlib, pandas and more.

The course consists of four lessons and four labs, for a total of 16 hours. There are 4 mandatory assignments in the course.

You will receive a certificate upon successful completion of the course and assignments.

Who should take this course?
  • Analysts transitioning into a Data Science Role
  • Developers who want a career in Data Science
  • Anyone who wants a thorough understanding of Python libraries for data wrangling and visualization
What do you get?
  • Write real programs
  • Personalized training
  • Learn common libraries for working with data
  • Non-alcoholic drinks and light snacks will be served
  • Certificate of Completion
Prerequisites
  • Basic knowledge of Python Programming (If you are unfamiliar with Python we recommend attending Introduction to Python Programming first)
  • You need to bring your own laptop (Windows/Linux/macOS), you will not need to install anything on your laptop.
  • You need access to a free Google account (such as Gmail)
  • It is a very practical course, and I was able to use what I learned in my work right away.
    Aimara Mastrapa - Python for Data Science
  • Pandas and the likes can be hard to figure out on your owm, it is great to have structured instruction and especially the lab hours was helpful to me.
    Mada Elashmawy - Python for Data Science
  • All the libraries we learned to use are in high demand for data science positions. I feel well prepared for my interviews now.
    Paul Deserres - Python for Data Science
Registration





Price

Regular: $ 950 + tax

If the time, date, and/or place does not suit you, please contact us. We may be able to accommodate you.

Business customer? We offer on-site personalized courses contact us for a quote.