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Event Registration - Introduction to Python for Business and Finance

Wednesday, November 11, 2020
Thursday, November 12, 2020
5:30 PM - 9:00 PM Eastern Standard Time
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.

Learning Python is a great entry point into the technical world as the syntax is much easier to learn compared to other programming languages. Because of its syntax simplicity, Python is a common first programming language for business and finance individuals.

But, do not be misinformed though! Just because Python has easier syntax does not make it any less powerful compared to other languages. Many of the world’s tech majors use Python as part of their technical ecosystems.

This two-evening, hands-on introductory course teaches students foundational Python concepts and how to use Python’s popular libraries to complete various technical tasks. Students are presented with Python coding challenges throughout the day to test their understanding of the material. The course culminates with a challenging in-class coding project where students apply concepts taught in the course to create a game.

This class is run by Cognitir, which has hosted our Python events in the past. Members of CFA Society Boston will also be able to attend.

Course Curriculum 

What is Python?
Use cases
Python vs. other popular languages

Python Development Environments
Brief tour of Jupyter Notebook, Sublime Text Editor, and other IDEs

Data Structure Fundamentals
Print formatting

Comparison Operators and Conditionals
If, elif, and else statements

For loops
While loops

Other Useful Operators
Min & max

Importing Libraries
Overview of common libraries

Built-in Methods
List methods
String methods
Dictionary methods

Debugging Code
Printing variables

In-class Project

Introduction to Graphical User Interfaces
What is a Widget?
Widget Basics
Use Cases

Wrap-Up and Summary

Course Developers

David Haber
David has led programming workshops at the undergraduate and graduate levels, at blue chip companies, and world renowned management consulting firms.

David has experience working with both startups and large corporations. He has filled several leading roles in technology startups. David also worked on optimizing large-scale payment processing systems at Deutsche Bank in Singapore.

David holds an MEng (First-Class Honours) in Computer Science from Imperial College London (UK) where he focused on statistical machine learning. He presented his work at international conferences and won several awards for his work. During his studies, he also served as a teaching assistant at Imperial College where he helped undergraduate students master fundamental computer science concepts.

Neal Kumar, CFA
At Cognitir, Neal leads strategy & business development initiatives as well as product management.

Outside of Cognitir, Neal consults C-level teams and senior business managers on a variety of strategic topics ranging from M&A to marketing. He also leads training seminars (financial modeling) for Wall Street Prep and has consistently received top reviews from attendees and created two training courses that were used in seminars worldwide. Before his consulting and training careers, Neal taught secondary mathematics in St. Louis Public Schools (USA) as a Teach for America Corps Member. Prior to joining Teach For America, Neal worked in investment banking at Lazard, JPMorgan, and Houlihan Lokey.

Neal received his MBA from London Business School (UK) and BBA in Finance from the University of Notre Dame (USA). He is also a CFA Charterholder and a Member of the CFA Institute Education Advisory Committee (EAC) Working Body where he helps shape CFA Program Content.

About Cognitir

Cognitir, a global data science training company, delivers this programming-based introductory data science workshop. In this course, participants will use the Python programming language to execute foundational data science tasks on different finance and economics datasets. By the end, participants will be able to import their own data sets and commence the data science process. This training course will allow you to hit the ground running with executing core data tasks through Python. Cognitir also provides 6 months of email support to attendees as well as a certificate of completion and membership to Cognitir’s growing global alumni network.


Early Rate
$415 Members | $520 Nonmembers
Ends October 31

Standard Rate
$499 Members | $599 Nonmembers

Non-members and CFA Society Global members must create an account, or log into their Boston specific account, to register for this program.

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