Intro to Data Science Livestream
13

Wednesday, 13 March

6 8 pm GMT

GA London (Online)

Online Class
Livestream
FREE!
Regular Ticket

Questions? Read our FAQs

Intro to Data Science Livestream

Carleton Smith Photo


Data Science Immersive Instructor, General Assembly

13

Wednesday, 13 March

6 8 pm GMT

GA London (Online)

Online Class
Livestream
FREE!
Regular Ticket

Questions? Read our FAQs

About This Event

Working from real life case studies, we will review:

  • What is Data Science?
  • How is it used?
  • Key tools and processes data scientists use.
  • How to get started in Data Science. Next steps.

Takeaways

  • 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 data set to produce your own recommendations.

    Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our Data Science Immersive or Data Science part-time programs.

Preparation

  • A second monitor is recommended, but not required.

    Additionally, students will need to download and install Anaconda with latest version of Python 3.x): Download link here.

    YouTube for installing on Mac: How to install Anaconda on Mac

    YouTube for installing on Windows: How to install Anaconda on Windows

    Tip: Scroll to your operating system version and click on the install button for Anaconda with latest version of Python 3.x.

    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).

About the Instructor

Carleton Smith Photo

Data Science Immersive Instructor,
General Assembly

Carleton Smith is a proud machine learning nerd. Before completing his Predictive Analytics degree from DePaul University, Carleton drifted from one unsatisfying sales job to another within the insurance and technology industries. Since discovering his passion for machine learning, Carleton has worked as a Data Analyst for the fintech firm, Envestnet, and as a Visual Informatics Researcher at DePaul University. Carleton is an avid Indiana University basketball fan (Go Hoosiers!) and enjoys running, morning coffee, and spending time with his 7 year old puppy.

In recognition of his exemplary service in the classroom, Carleton has been selected as a member of General Assembly's Distinguished Faculty program. Additionally, Carleton serves on the General Assembly Data Science Advisory Board.

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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