06-08-2019 Data Science for Managers - Applications, Visualization, and Storytelling
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An Education Committee Sponsored Event - Part of the Tech Skills for Non-Programmers Track
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 as 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.
Attendees may use a PC or Mac to access slides and other resources we provide for the class.
What This Course Offers
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 as 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.
Attendees may use a PC or Mac to access slides and other resources we provide for the class.
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
- Overview of popular Python libraries
- 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 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.
Prerequisites:
None
Course Curriculum and Contact Information
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.
Prerequisites:
None
Course Curriculum and Contact Information
| Early Registration Fees (until May 25th) $399 (Members) | $499 (Non-Member) |
| Registration Fees $499 (Members) | $599 (Non-Member) |
| Bundle together any 3 Cognitir Tech Skills Training courses and save 10% on early registration fees. Bundle together any 4 courses and save 15% on early registration fees. |
Payment Information
We accept the following:
If you prefer to pay by check please email info@cfala.org and request to pay by check. Your registration will be completed manually and you will receive an email confirmation.
We accept the following:
If you prefer to pay by check please email info@cfala.org and request to pay by check. Your registration will be completed manually and you will receive an email confirmation.
Mail check to:
CFA Society of Los Angeles, 520 S. Grand Ave, Suite 655, Los Angeles CA 90071.
*Credit card payments will only be accepted through the secure online registration, and not by phone or email.
Cancellations
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.
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.
Chair:
Rama Malladi, CFA
Rama Malladi, CFA
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