Python Data Science Classes Austin, TX

This course on data wrangling with Python offers a 3-day comprehensive introduction. The purpose of this course is to give an immersive foundation that equips students with the most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and MatPlotLib to calculate descriptive statistics, work with alternative data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This data science with Python course is for people with a basic knowledge of programming with Python. This comprehensive course will explain how to work with some of the most widely-used data analysis and visualization modules, such as Pandas, matplotlib, Numpy, Scipy, and more. The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.

This comprehensive Python course teaches beginners how to code, analyze data, and create machine learning models with Python. Students will start with the basics of programming in Python and build up their data skills on their way to learning machine learning and automation. Topics include programming fundamentals, data analysis, data visualization, machine learning, automation, and web scraping. This course offers flexible scheduling options and provides a free retake so students can refresh the material.

This 2-day course on Python with data science is intended for software developers, IT architects, and data scientists. This course will build on their knowledge of statistics and programming, teaching them the theoretical and technical aspects of the use for Python. Students will learn about the history and purpose of data science, life-cycle phases of data analytics, methods for repairing and normalizing data, and how to aggregate and group data. Students will also complete 10 lab exercises.

Python + Data Science Bootcamp teaches full-stack web development and data science using Python in 10 weeks. If you're accepted to this program, there is three weeks of prework you'll have to complete before starting the program. The program covers HTML/CSS, JavaScript, APIs, frameworks, and more to build front-end applications. After you've learned front-end development, you'll transition to Python and learn its data science packages. In the end, you'll combine your knowledge and create a capstone project to showcase to potential employers.

Perfect for programming beginners, this 6-hour Python for Automation course teaches the basics of web scraping with Python. This class will teach students how to use Python code to retrieve the data you want from websites. Using loops, students will be able to use these strategies to compile data from large numbers of pages with ease. Students can attend online or in person.

In this course, students discover the essentials of machine learning. By learning to work in Python, students gain familiarity with object-oriented programming and neural networks.