Thinking about becoming a data scientist, but don’t know anything about Python?

Want to take our other data science courses, but don’t think your Python skills are quite up to the mark?

Need to make sure you’ve got the basics of Python covered?

Then you need Pragmatic Institute’s Intro to Python. This LIVE, 3-hour introductory primer gives you the hands-on, immersive Python training you need to begin your journey into data analytics and other data science techniques. 

Our data science experts will introduce you to the fundamental concepts in Python that are used by today’s leading data scientists. Upon completion of this course, you will be able to:

  • Write and run Python code for data analysis in data science notebooks, including data cleaning and reformatting, exploration, analysis
  • Understand the fundamental open-source data science libraries in Python and their roles, strengths, and weaknesses for data analysis, including: NumPy, Matplotlib, scikit-learn, & more

This is a hands-on workshop, and you will be immersed in code, developing scripts & notebooks all of which you can take home for future data project dominance.

Python Benefits

As one of the most popular, open-source programming tools available today, Python provides data scientists with a wealth of programs and packages at their fingertips to help them manage and process data faster and more efficiently. From the presence of several third-party modules to Python’s extensive libraries and user-friendly data structures, Python is the perfect tool for data science.

 Who Should Attend
  • If you’re interested in data science and want to learn essential data science skills
  • If you’re new to Python and don’t know where to start learning
  • If you’re a data analyst, economist or researcher who works with large datasets and wants to make analysis easier and more effective with Python
  • If you’re interested in taking Pragmatic Institute’s data science curriculum

To achieve the greatest benefit from this primer, attendees will need:

  • Basic technical skills and a comfort with computers
  • Some experience using computers for analysis and repeated tasks (formulas or macros in Excel, for example)
  • A computer or laptop with internet access.

What You'll Learn
In this three-hour primer, you will learn the basics of Python and begin understanding it’s strengths, weaknesses and roles in data science by working with and developing your own code.

  • Jupyter notebooks and the kernel
  • Variables, functions and iterations
  • Python list and dictionaries
  • Logic and program flow
  • Truthiness
  • Whitespace matters
  • Expectations
  • Putting it all together
Python's Data Science Tools
  • NumPy indexing
  • Pandas
  • Matplotlib
Building a Topic Modeler
  • Gathering a dataset
  • The bag of words model
  • Topic modeling with scikit-learn
  • Visualizing results
  • Batch versus online training
  • Exercises

Ready to take on the future of data?

Online Training
$199 USD
For the Online Course

Early-bird discounts available

October Session

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How does someone become a modern-day data scientist for one of the biggest digital companies in the world?

Check out this podcast featuring Becky Tucker, Ph.D., senior data scientist at Netflix. See how she got her start and wound up at the world’s largest streaming service. Listen now

Read more about what other students have done with their data science education on our sister company site:

Data Science Curriculum

The data science curriculum from Pragmatic Institute is designed by data scientists to help you enhance and expand your data science skills using a hands-on approach with live code and real-world examples and datasets.

Data Science I: Essential Tools
Data Science II: Practical Machine Learning
Advanced Machine Learning
Artificial Intelligence with TensorFlow

Learn more about our entire data science curriculum