Python for Data Science 1: Python Programming and Efficient Data Management (Pandas)

August 21-22, 2019 | 8:30 - 4:30
Taught by:
GIS Training Services
Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. Python (along with R) has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. From government and universities to new start-ups and big tech like Google or Microsoft, the use of Python for big data and data science has become a standard tool. Python is a simple and very versatile language (numerical analysis, web development, data analysis, etc.). This module introduces programming in Python, focusing on data analysis and the most efficient libraries for data science including Pandas. The course methodology is designed under the “learning by doing” maxima. The student will learn the language and applications through examples and practice.
No prior programming skills are required.

Cancellation Policy

We rely on student attendance to make important arrangements for the courses. Please contact us if there is any change in your reservation.


Withdrawal from a course after registration has been submitted takes place on occasion. Students must submit written notice no later than 10 business days prior to the first day of the scheduled session. Email is an acceptable form of written communication. The course fee will be refunded, minus a $60 processing fee.


Refunds cannot be made for withdrawals initiated within 10 days of the first day of the scheduled class. However, the registration and payment may be honored for the same class topic held at a future date within the same fiscal year (09/01 - 08/31).

Refunds will not be granted for participant no-shows.


Student substitutions are allowed with 3-days written notice prior to the start of the course.

Training Facilities

TCEQ Computer Training Lab

12100 Park Thirty Five Circle
Building A, Room 234/235
Austin, TX, 78753