Tech Skills Training for Programmers & Non-Programmers Series

JUN
29
(Apr-Sep)
 
Location:
CFALA Member Center - Biltmore Court
520 S. Grand Ave. Suite 655
Los Angeles, CA 90071
 
Events
(Descriptions below):

April 6th
Introduction to Python - Online Webinar

April 15th, 22nd, and 29th
Introduction to Data Science for Finance and Business - Live Course

June 8th
Data Science for Managers: Applications, Visualizations, and Storytelling - Live Course

June 15th - POSTPONED
Data Science for Managers: Building a Data-Driven Organization - Live Course

June 29th
Introduction to Blockchain - Live Course

July 20th
Introduction to Python - Live Course

August 3rd & 4th
Introduction to Data Science for Finance and Business - Online Webinar

August 12th, 19th & 26th
Introduction to Time Series Analysis in Python - Online Webinar

 September 16th, 23rd & 30th
Machine Learning - Classification Models in Python - Online Webinar

 
Time: Varying
 
Dress: Casual
   
 
Add to Calendar 06/29/2019 4:00 PM 6/29/2019 7:00 pM America/Los_Angeles tech skills training for programmers & Non-programmers Series MM/DD/YYYY

CFA Society Los Angeles and Cognitir have partnered to create practical, hands-on training courses that are designed to provide finance, investment, and business professionals with the most in-demand tech skills in the industry today. We offer two tracks to help you plan your professional development—programming and non-programming—and the option to purchase course bundles for a significant savings, but all courses are available for individual enrollment

 

Programming Track

The courses in the programming track are designed for individuals who want to obtain hands-on technical skills. Individuals who take these courses will be trained to create their own models and code to become more data-driven decision makers and improve work efficiency. They will be able to work even more collaboratively with IT/dev teams to solve challenging business and finance problems in their organizations. As such, all of workshops in the programming track employ computer programming and expose participants to the industry’s most popular tools.

Courses in the Programming Track:

Non-Programming Track

The courses in the non-programming track are designed for participants who wish to build strong technical foundations but do not necessarily need to learn how to code. This track helps participants increase their technical IQs and understand the broader technology landscape with the aim of catalyzing the creativity needed to help them develop and sustain competitive advantages through technology.

Given the content and non-programming nature of the courses, participants in managerial roles can greatly benefit from all the content, although all professionals are welcome.

Courses in the Programming Track:



DESCRIPTIONS

April 6th - Introduction to Python
Python is an extremely powerful general-purpose programming language. It is used for data science and machine learning projects, web development, and software development. Given the ubiquitous use of Python for a variety of tasks as well as its global support, it has become one of the world's most popular languages - up there with Java, C, and C++.

April 15th, 22nd, and 29th - Introduction to Data Science for Finance and Business
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.

May 4th - Technology 101 for Finance and Business
Technology is disrupting every single industry from brick and mortar retail to metals and mining and is becoming a critical driver of competitive advantage creation. Companies who adapt and innovate will sustain while others that choose to not or adapt too slowly will die. It is critical that business and finance professionals have a solid understanding of how today's key technologies work so that they can have more meaningful conversations with their technical teams.

June 8th - Data Science for Managers: Applications, Visualizations, and Storytelling
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.

June 15th - Data Science for Managers - Building a Data-Driven Organization
In order to create a data-driven culture, organizations must develop their senior executives and managers into data-science champions. These executives and managers must understand the strategic and organizational changes needed to transform their organizations into data-driven ones.

June 29th - Introduction to Blockchain
This interactive and structured one day seminar works to supply attendees with a elementary awareness of what blockchain technology is, along with a conceptual understanding of its potentially far reaching use applications in the financial world including venture capital.

July 20th - Introduction to Python
Python is a high-level, object-oriented programming language that is used in a variety of projects ranging from data science and machine learning to backend web development. In fact, it is one of the most in-demand programming languages today.

August 3rd & 4th - Introduction to Data Science for Finance and Business
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 the these data assets to solve some of the industry’s toughest problems.

August 12th, 19th, and 26th - Introduction to Time Series Analysis in Python
This hands-on data science course teaches the fundamentals of time series analysis and how to build time series models in Python. Whether you are trying to predict asset prices or understand the effects of air pollution over time, effective time series analysis can help you.

September 16th, 23rd, and 30th - Machine Learning - Classification Models in Python
This hands-on, programming-based data science course is a sequel to Cognitir’s Introduction to Data Science course. It will provide an overview of modern machine learning algorithms that analysts, portfolio managers, traders and chief investment officers should understand given the improved ability to capture and analyze data.

 

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.


*Upcoming Individual Class
June 15th: Data Science for Managers - Building a Data-Driven Organization

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.

 

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 event. 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.
Series Chair: 
Rama Malladi, CFA,
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