VSIGHT – BUSINESS ANALYTICS: USE DATA ANALYSIS FOR FINANCIAL INDUSTRY

What you’ll learn
The Importance of data in business
Learn how big data could change your job, your company, and your industry
Learn how to handle and manage data
Real world examples of data science benefiting businesses
Discover why data-driven organizations use the scientific method to explore and solve data problems
Key questions to help you create a research-specific process for tackling vital issues
Deploy a structured lifecycle approach to data science problems
Apply suitable analytic techniques to analyzing big data
Discover how to tell a powerful story with data to drive business action
Discover the advantages of data analysis and the specific analytical tactics
Learn how to use data analysis to detect fraud
Learn how financial services can apply data analysis to solve real-world problems
Requirements
You’ll need a desktop computer (Windows, Mac, or Linux).
No prior knowledge or experience needed. Only the desire to learn!
Description
Data science is now a mainstream business tool. It is applied across many industries to increase profits, reduce costs, save lives and improve customer experiences.
In the past few years, the ability of data science to deal with a number of significant financial tasks has become an extremely important point. More and more companies want to learn what enhancements data science brings and how it can reform their business strategies.
The extent of data available to companies and individuals is unprecedented. Financial industries have the most digital data stored. Organizations that want to leverage this available data require professionals who have a solid understanding of data analytics and understand how to apply it to solve meaningful business challenges.
This course reveals the reality of the data analytics world, and outlines clear and actionable steps that will equip the student with the tools needed for this next phase of business evolution. It will help you understand the basic concepts in data analytics as well as its applications. It contains proven steps and strategies on how to use everyday data analytics for financial services to increase profitability and customer satisfaction.
Enroll Now and make the smartest investment you could possibly make. An investment in yourself, your knowledge and your business growth.
What you’ll learn in this course:
· The Importance of data in business
· Learn how big data could change your job, your company, and your industry
· Learn how to handle and manage data
· Real world examples of data science benefiting businesses
· Discover why data-driven organizations use the scientific method to explore and solve data problems
· Key questions to help you create a research-specific process for tackling vital issues
· Deploy a structured lifecycle approach to data science problems
· Apply suitable analytic techniques to analyzing big data
· Discover how to tell a powerful story with data to drive business action
· Discover the advantages of data analysis and the specific analytical tactics
· Learn how to use data analysis to detect fraud
· Learn how financial services can apply data analysis to solve real-world problems
Who is the target audience?
Business Analysts
Statisticians
Data Miners
Data Scientists
Business Executives
Anyone who wants to learn statistics and how it is applied in the business world

Business Analytics: Use Data Analysis for Financial Industry : Videos, PDF´s, Template

Delivery Method

– After your purchase, you’ll see a View your orders link which goes to the Downloads page. Here, you can download all the files associated with your order.
– Downloads are available once your payment is confirmed, we’ll also send you a download notification email separate from any transaction notification emails you receive from coursesblock.com
– Since it is a digital copy, our suggestion is to download and save it to your hard drive. In case the link is broken for any reason, please contact us and we will resend the new download link.
– If you cannot find the download link, please don’t worry about that. We will update and notify you as soon as possible at 8:00 AM – 8:00 PM (UTC 8).

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