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Event Registration - Cognitir: Introduction To Data Science for Business & Finance

Tuesday, November 23, 2021
Tuesday, November 30, 2021
5:30 PM - 9:00 PM Eastern Standard Time
Cognitir: Introduction To Data Science for Business & Finance

Date: November 23 and November 30
Time: 5:30 PM – 9:00 PM EDT

Booz Allen Hamilton reports that organizations experienced a 17-49% increase in productivity when they increased data usability by 10%. Given the positive impact that professionals can have on their organizations' performance by employing data science, Cognitir created Introduction to Data Science to help both finance and business professionals acquire foundational data science skills that will help them analyze data better.

In this 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 training, professionals will become better, more data-driven decision makers.

Attendees can use either a Mac or Windows computer for this course.

If you do not have introductory Python skills, you will need to obtain them through Cognitir or another provider. You must satisfy the Python prerequisite before taking this workshop.

Cancellation Policy

You may only cancel any course booking made through the Site and obtain a full refund if you notify us in writing of your wish to cancel prior to the first to occur of (i) the end of the third 3 business day after booking your place, or (ii) the fifth day prior to the start of the applicable course. This rule is in place because we send our pre-seminar email with course materials in the week before the seminar.

Cognitir reserves the right to cancel any course at any time in their absolute discretion, but will offer a full refund or provide you with an alternative course date at your election if they choose to cancel a course you have already booked onto.


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