By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

Course Description

M4 Hands-on: Data Analysis with Python

February 10, 2020

9:00 am - 5:00 pm

Duration: Full Day Course

Prerequisite: Students must set up their laptops in advance

William Henry

Director of Data Science

Riskpulse

Python is one of the top languages used in data science and predictive analytics. In this hands-on course, we will use Jupyter notebooks to learn and develop Python code. Jupyter notebooks are widely used for data analysis and exploration projects. By the end of this workshop, you will have learned how to create and use Jupyter notebooks, how to load data from various sources, how to explore the data, how to discover and replace bad values, how to run analysis on the data and subgroups of the data, and how to produce basic visualizations. You will leave with complete code examples that you can use and build on in your own work.

Geared To

  • Individuals with basic Python experience who are new to using Python for data analysis

Laptop Setup

Students must bring their own laptop to the class.

Machine Requirements:

  • Linux, OS X, or Windows
  • 32- or 64-bit computer
  • 8 MB available RAM
  • 600 MB available hard drive space to download and install Anaconda
    (We use Anaconda because it is a free, no-hassle way to install Python and the needed libraries.)

Setup:

Laptop setup is required BEFORE the conference. Instructions will be emailed to registrants prior to the event.

There is no time allotted in class for laptop preparation.

* Enrollment is limited to 40 attendees.

The clock is ticking.

Register Now

Register Online

Rest easy—online registrations for this conference are secure. Our secured server environment keeps your information private.