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Introduction to Data Science, Virtual Instructor Led Training


Zeke Hochberg, Instructor

Start Time

8/10/2019 12:00 PM

End Time

8/11/2019 4:00 PM

Global Passport Eligible?



Members and Non-Members: Pre-Pay online through 8/3/2019 and save $100!

Member Price


Non-Member Price


Candidate Price


Location Info

Live - Online

Event Description

One Course offered over 2 afternoons:

August 10 12 PM  - 4 PM

August 11 12 PM - 4 PM

Course Curriculum and Contact Information

  • Post course:  90 days access to the recorded version of the training so you can replay as often as needed to fully understand the concepts
  • 90 days of Cognitir support for questions and concept clarification.
  • Receive relevant and practical weekly resources that will help you on the job



The amount of data available to organizations and individuals is unprecedented. Financial services sectors, including securities & investment services and banking, have the most digital data stored per firm on average. As a result, financial companies have been on an innovation and technology push to create new, disruptive technologies that can maximize use of these data assets to solve some of the industry’s toughest problems.

This hands-on course provides a structured teaching environment where students learn classic data science methods, which are used as the bases for many financial technologies. At the end of the workshop, course participants will have applied the Python programming language and essential data science techniques to solve complex finance problems.

Specific areas in finance where the data science skills acquired from this course can be effectively applied include: sentiment analysis, advanced time series analysis, risk management, real-time pricing and economic data analysis, customer segmentation analysis, and machine learning algorithm creation for financial technologies.

What This Course Offers

  • An overview of data science methods relevant to finance and fintech
  • Explanation of the hype around data science, machine learning & big data
  • Hands-on Python programming experience
  • Understanding of effective data visualization techniques using Python
  • Course notes, certificate of completion, and post-seminar email support for 3 months
  • An engaging and practical training approach with a qualified instructor with relevant technical, business, and educational experiences
Who Is This Course For:

This course is relevant for professionals who want to gain a hands-on introduction to essential data science methods that are utilized in finance and fintech.

Please note that you must have taken an introductory Python programming course before attending this workshop. Cognitir will recommend a free, online Python course to participants, but this online course must be completed before the start of this data science workshop.

Introductory Python Programming course​

About the Instructor: Zeke Hochberg​
Zeke is an experienced educator turned data scientist currently working at Nielsen Marketing Cloud. His team uses machine learning to improve digital advertising audience targeting. Zeke was a high school teacher for five years and is a former Teach For America Corps Member. He first taught in Dallas, Texas, before moving to Brooklyn to be a founding teacher at a new charter high school. Zeke chose to move into data science to combine his interests in math and linguistics, and hopes to do more work with natural language processing and deep learning moving forward.

Zeke has a BA in cognitive science from The University of Virginia, and an MA in Teaching from Relay Graduate School of Education.​

Event Type

Society; Educational

Society Category


Education Topic

Quantitative Methods

Event Region


CE Credit


SER Credit


Event Terms

Enrollee cancellations must be made in writing and received at least 5 business days before the first day of class. All cancellations will incur a $30.00 processing fee. If enrollment is canceled after the 5-day deadline, a 50% cancellation fee will be charged.

Location Name

Webinar - Online

All Day Event





8/11/2019 4:00 PM



Event Manager Email

Location Address


Location City

Approval Status Approved


Content Type: MyCFA Calendar
Created at 6/28/2019 6:29 AM by 38
Last modified at 7/11/2019 9:23 PM by 38