Introduction to Data Science for Finance
1-Day Course @ CFA Society San Francisco
Friday, January 5, 2018
According to a recent Harvard Business Review article, the top one-third of companies that employ data-driven decision making are, on average, 5% more productive and 6% more profitable than their competitors. This finding is statistically significant and is reflected in measurable increases in stock market valuations .
Data science describes the art of extracting insights from data and improves decision-making and boosts product development. Because of the benefits that data science brings to corporations, financial institutions, and startups, it is one of the most prized skill sets today.
CFA Society San Francisco and Cognitir, a global training company, are organizing a full-day course on January 5, 2018 to teach the essentials of data science with the Python programming language. This course will analyze various finance-related data sets to help finance professionals uncover meaningful insights from data. Cognitir has successfully led training at CFA Society San Francisco before and is excited to be invited back!
By the end of this introductory course, participants will have used the Python programming language to analyze real-world finance-related data sets, draw meaningful conclusions from the data, and present their results in a clear and persuasive manner.
COMPUTER REQUIREMENTS: Both PCs and Macs can be used in the course. You will need to download free Python-related software to participate in this course. We will provide you with detailed instructions on how to do this after you sign up. Please note that if you are planning to use a corporate laptop, you may need permission from your IT/tech department to download external software, so please allow enough time for this installation process.
Member Pricing: $499
Non-Member Pricing: $599
Early Bird Discount (available until 12/21/17): $100 off registration
This event qualifies for 8 hours of continuing education credit for CFA Charterholders.
Cancellation Policy: Please contact firstname.lastname@example.org with at least 5 days notice to receive a full refund. Refund not applicable if pre-course materials have been received.