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.
This one-day, hands-on course provides a structured teaching environment where students learn classic data science methods , which are used as the bases for many financial technologies. At the end of the workshop, course participants will have applied the Python programming language and essential data science techniques to solve complex finance and economics problems .
Attendees can use either a Mac or Windows computer for this course.
If you would like to take this course, you must sign up for Introduction to Python on May 15th.
An overview of foundational data science and machine learning methods and how they can be used to solve real-world finance problems
All of our classes use relevant, Python-based exercises to help students apply theory to practice. Students write their own Python code during the workshop.
Understanding of the advantages of data science and specific analytical methods and the kinds of questions they can help answer
Understanding of effective data visualization techniques, how to execute data visualization tasks in Python, and how to communicate results to key stakeholders
Participants will have opportunities to discuss current data science topics with other attendees & their Cognitir instructor and brainstorm practical strategies to improve decision making
All Cognitir participants receive course notes, a certificate of completion, instructions on how to add the course to their LinkedIn profiles, and post-seminar email support
This course is relevant for finance and business professionals who want to gain a hands-on introduction to essential data science methods that are utilized in finance, fintech, and business.
You must take Introduction to Python on May 15th if you would like to take this course.
Not sure if this is the right course for you? Contact us.
Yes, you must take Introduction to Python on May 15th.How is this course different from Data Science for Managers?
This course focuses more on the hands-on technical aspects of data science. Attendees will build computer programs that execute different data science tasks. Data Science For Managers is not programming-based. The course discusses data science as a strategic tool in problem solving and is meant for individuals managing data science, technical, or business intelligence teams.Do I have the right laptop for this course?
You will need a PC (Windows Vista or newer), Mac (OS X 10.7 or newer), or Linux (Ubuntu, RedHat and others; CentOS 5+). Please contact us if you are planning to use a different setup for this course.Do I need to install software prior to the class?
Yes, you will need to download and install free Python software on your laptop. In case you are planning on using a company laptop, please make sure that you have the necessary rights to install the tools. We will send out detailed information on the download and installation procedures a few days before the course starts.
Visit our FAQs to see commonly asked questions from participants about data science.