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Data Processing with Python

Master using Python for data munging, processing, visualization, exploratory analysis and extracting data from public APIs.

Data Processing with Python

What will I learn?

Learn how to work with JSON data.

Master building insightful visualizations of your data.

Learn how to do time series analysis in Python.

Perform advanced data transformations using Python.

Learn how to get data from public APIs and other sources.

Get hands-on experience with data processing and analysis using Python.

Course curriculum

Module 1
Python Review

Review advanced Python programming topics, such as object-oriented programming, pickling and handling errors.

Module 2
Introduction to Numpy and Pandas

Learn the basics of Numpy and Pandas data structures and functionality. Practice using both to load, filter, sort and interpolate data.

Module 3
Advanced Pandas and Intro to Time Series Analysis

Master advanced data transformations and Pandas best practices. Get started with time series analysis.

Module 4
Data Visualization Techniques

Learn how to build different visualizations of your data. Visualize time series data.

Module 5
Consuming APIs and JSON

Learn how to get data from public APIs and how to handle JSON data.

Module 6
Capstone Project

With your instructor's guidance, use what you've learned in this class to build a custom project.

Elite instructors

Learn from an elite team of industry experts who have taught at universities such as Harvard, and have trained teams at companies such as Qualcomm.

Tailored content

We customize training content to match your team's goals. During training, your team works on projects that are relevant to your business.

Hands on

All our trainings involve in-class, hands on practice that is relevant to your team's goals. At the end of the training, your team will be ready to hit the ground running.

On site and live online

Choose whether you prefer in-person training, or you need the online participation of a geographically distributed team.


If you're familiar with using for loops and conditionals in Python, you'll do great in this class. If those don't ring a bell, consider taking Introduction to Programming with Python first.

Frequently Asked Questions

1. Who is this course for?

This course is aimed at engineers who have a basic familiarity with Python and who want to learn to use Python for data processing, munging, visualization, exploratory analysis and leveraging public data and APIs.

2. Is this a MOOC (Massive Open Online Course)?

Absolutely not. Unlike other internet courses, this course is completely live. Your instructor lectures in real time (either on-site, or live on-line) and can answer questions and provide real-time, tailored feedback so you can reach your goals as fast as possible. At Edlitera, we believe nothing beats the experience of learning live from an elite instructor with extensive industry experience. 

3. What is the format of this course?

The course combines lecturing, hands-on exercises to be solved both individually and in pairs, as well as one or two larger projects that require participants to use their newly acquired knowledge to solve real-world problems.

Exercises and projects are chosen to be relevant to the type of problems that your team encounters daily. Our goal is to deliver practical, immediately applicable knowledge, and to empower your team to hit the ground running after each training. Our instructors can teach this course on site at your offices or live online.

4. Can you tweak the content of the course for my team?

Of course! While we do offer a standard version of this course, we can also work with you to tailor the content such that it fits your team's priorities perfectly. 

5. What if I have other questions?

If you have other questions, or want to find out more about this course or other courses we offer, please ping us - we love questions! You can email us at [email protected], or get in touch via the chat box below.