Introduction to Data Science
13

Wednesday, 13 December

7 9 pm CST

GA Austin, WeWork Congress

600 Congress Avenue, 14th Floor
Austin, TX 78701
$35 USD
Regular Ticket
$35 USD
Total

Questions? Read our FAQs

Introduction to Data Science

13

Wednesday, 13 December

7 9 pm CST

GA Austin, WeWork Congress

600 Congress Avenue, 14th Floor
Austin, TX 78701
$35 USD
Regular Ticket
$35 USD
Total

Questions? Read our FAQs

About This Class

See how the predictive power of data drives modern business.

Step into the world of data science with General Assembly. During our introductory workshop, explore the job Harvard Business Review has dubbed “the sexiest of the 21st century,” and see how modern businesses are harnessing the power of data to drive innovation. Working with real-world case studies, you’ll:

  • Learn what data scientists do and the types of problems they solve.
  • Walk through the typical data science workflow and see how the pros identify powerful business predictions.
  • Explore key tools and processes data scientists use to analyze, visualize, and model data.
  • Apply what you've learned to a dataset to develop a predictive model and cultivate your own insights.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our 10-week, part-time Data Science course or become job-ready with our 12-week, full-time Data Science Immersive program.

Takeaways

  • Case studies for data science projects across several industries
  • Understand the data science process
  • What is machine learning anyway?
  • Language wars: Python, R, Scala...
  • Skills needed to become a Data Scientist
  • Where to go next

Prereqs & Preparation

Bring a laptop. Install Anaconda beforehand. *Tip: Scroll to your operating system version and click on the install button for Anaconda with Python 2.7. Note: We'll be using Python version 2.7 in this workshop. If you are using a PC, please install the git for windows terminal beforehand.

Technical Considerations: -For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).
-Upgrade your operating system before class, if needed.

Students should have some basic technical aptitude, orientation to computers, and the curiosity to learn new tools.

About the Instructor

Leland Lockhart Photo

Leland Lockhart, PhD, is an experienced analytics professional, who specializes in machine learning, statistical programming, inferential statistics, psychometrics, behavioral analytics, unstructured data and big data technologies. Leland's professional background includes extensive experience in predictive modeling, credit and fraud analytics, software development, and quantitative finance. Currently, Leland works as a Senior Data Scientist at Kershner Trading Group, a proprietary trading firm specializing in algorithmic trading. Leland graduated from the University of Texas at Austin in 2012 (B.S., M.A., Ph,D.).

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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