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. Finance companies that want to maximize use of this available data require professionals who have a keen understanding of data science and know how to use it to solve meaningful business challenges.
In this two-day class, participants will learn the Python programming language and how to use it to execute relevant data science techniques on complex data. In addition, participants will learn how to correctly evaluate the results of different data science methods with the aim of being able to draw meaningful business conclusions from them. After this course, professionals will become better, more data-driven decision makers.
Specific areas in finance where 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.
Who Should Attend?
Cognitir has led Python and data science training with most of the largest CFA societies, including New York, Philadelphia, United Kingdom, Los Angeles, Washington D.C., Baltimore, and San Francisco. The course is specifically designed for finance and business professionals.
- Investment professionals
- Quantitative traders
- Event-driven fund managers
- PE/VC investors
- Traditional asset managers
- Fintech entrepreneurs and/or product managers
- Professionals involved in business intelligence, business analytics, marketing, and sales professionals at corporations
- Private equity and venture capital investors and portfolio company operators
- Private wealth managers
- IT and tech professionals at financial institutions
- Management consultants
Click here to view the course syllabus.
|Day 1 — Intro to Python Learning Objectives
||Day 2 — Intro to Data Science for Finance Objectives
| • Why Python and Applications
|| • Introduction to Data Science for Finance
| • How do we write programs in Python
|| • Real-world applications of data science to finance and business problems
| • Python syntax and best practices
|| • Building classification models for finance and evaluating output in Python
| • Variables
|| • Overview of common data science methods
| • Conditionals and Control Flow
|| • The data science process — CRISP–DM
| • Data Structures
|| • Supervised vs. Unsupervised Learning
| • Loops
|| • Building clustering models for finance and evaluating output in Python
| • Functions
|| • Big data "101"
| • Working with Python Modules
Participants are required to bring a laptop to the class. Cognitir will provide free Python-related software. Once you register, Cognitir will provide instructions on how to download and install the software.
Attendees have the option of registering for Day One (intro to Python) only, or for both days.
MCLE New England
4751, 10 Winter Pl
Boston, MA 02108
Description:Both days: CFA Boston Members: $995.00 ($895.00 Early Bird)
Both days: Non-Members: $1,195.00 ($1,095.00 Early Bird)
One Day Only: Members: $495 ($395 early bird)
One Day Only: Non-Members $595.00 ($495.00 Early Bird)
Please note early bird pricing ends 11/25/19.