0 item(s) ($0.00)
Special Items
Become a CFA Boston Member
Programs & Events
Other Services
Event Details

Event Registration - Data Science for Managers - Applications, Visualization, and Storytelling

images/Events/CFA_Boston_RGB.jpg
Date:
Friday, March 29, 2019
Time:
8:00 AM - 5:00 PM Eastern Daylight Time
Data Science for Managers - Applications, Visualization, and Storytelling

Overview
The amount of data available to organizations and individuals is unprecedented. In order to maximize the use of these data assets, executives and managers need to know the ins and outs of data projects. They need to understand how data science can help solve a variety of business problems and unlock a plethora of strategic opportunities.

This one-day course equips business and finance managers with an overview of key analytical methods and data science tools required to create competitive advantages and solve difficult business problems. Participants will also learn about fundamental data visualizations and how to effectively storytell to key stakeholders with these visualizations.

This is not a programming-based course. The purpose of this course is to equip business and finance leaders with the right dose of knowledge and technical skills to better evaluate technical proposals, communicate with technical teams, hire technical teams, and use data science is a strategic tool. If you are interested in learning how to build these algorithms in a programming language such as Python, please check out our other courses such as Introduction to Data Science.

What This Course Offers
  • High-level overview of data science and big data methods and why it is relevant for finance and business leaders
  • Presentation of use cases and examples from industry of how data science can boost business performance and improve corporate bottom lines
  • Understanding of the data science process and critical challenges
  • Understanding of how to evaluate, interpret and present data science results to key stakeholders and technical teams
  • Course notes, certificate of completion, and post-seminar email support for 1 year
  • An engaging and practical training approach with a qualified instructor with relevant business, technical, and educational experiences

Who Is This For
This course is relevant for finance and business executives who supervise teams that identify and execute data analytics and business intelligence projects. Other junior and senior business professionals who want to better understand how data science can supercharge corporate analytics will also benefit from taking this course. Attendees range from C-suite executives to junior professionals who want to better understand what their bosses should know.

Course and Contact Information
Course Prerequisites: None
Duration: 1 Day info@cognitir.com
+1 908 505 5991 (US); +44 75 0686 49 85 (UK)
www.cognitir.com

Course Curriculum
  • Introduction
    • What is data science, why is it relevant, what are use cases for different verticals/business functions
    • What is data-informed decision making, how data science can be incorporated with traditional decision making processes
  • The Data Science Process
    • Overview of CRISP-DM, what does each stage of the CRISP-DM process accomplish, presentation of common challenges, what should managers know about this process
  • How Executives Can Use Various Data Science Methods To Solve Problems
    • Definition of regression, classification, clustering, supervised learning, unsupervised learning and other common data science and machine learning methods
    • Presentation of use cases and different business situations, which problems can data science methods better explore and help solve
  • How Executives Should Evaluate Data Science Results
    • Overview of common terminology for managers, how can we interpret data science results, when can we trust them, what questions should we ask
    • Presentation of powerful techniques to evaluate data science methods and results including assessing model complexity, cross-validation, confusion matrices, expected value, profit curves, ROC curves, statistical significance, hypothesis testing, etc.
  • From Data to Visualization and Storytelling
    • Interpreting different data results and putting this together into presentations that illuminate key messages, overview of common visualization techniques, the science behind when to use each. (Note: this section is programming language/software agnostic and the learnings apply to any visualization software and tools that you use in your organization.)
    • How to come up with compelling reports and effective presentations, fundamentals of storytelling with data
  • The Data Science Tools and Software that Executives Should Invest In
    • Overview of common data science technologies used by data scientists that managers should know about, which technologies should managers choose and why
  • Big Data Beyond the Hype - What Executives Need to Know
    • What is big data and why is it relevant, overview of big data architectures and technologies, what are the different organizational/strategic/technological challenges, how can we overcome these challenges
Address:
MCLE New England
4751, 10 Winter Pl
Boston, MA 02108
Description:Members: $399 Non- Members: $499
CE CreditCFA Boston has determined that this event qualifies for 8 CE credit hours under the guidelines of CFA Institute's Continuing Education Program. If you are a CFA Institute member, CE credit for your participation in this event will be automatically recorded in your CE tracking tool.
You must be logged in to register. After logging in your browser will return to this page.