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Data Science in Finance: Make Money from Understanding How Data Works

Learn how to use data science in finance to understand the dynamics of the markets and get data management skills
Course from BitDegree
 9 students enrolled
Basic understanding of data science in business
How to handle and manage big data
How to apply data analysis for financial services to solve real-world problems
How to detect fraud using data analysis

The amounts of data are mind-blowingly vast, and companies that want to take advantage of available data require competent professionals who have a solid understanding of financial data science. New companies will not survive without exploiting the power of data science for business. Many industries use data science in finance for different applications, such as reducing costs, increasing profits, improving customer experience, etc. Data science is evolving at lightspeed, and the ability of it to deal with critical financial tasks has become extremely important.

Get there in time for the next phase of business data science evolution

This course on data science in finance will not give you loads of algorithms. Instead, you'll explore a set of fundamental principles to get useful knowledge from business data analytics. The basic principles lie at a foundation of many algorithms for data mining, and they have also been used to form methods for solving business problems from a data analysis perspective.

In this course, you'll learn data analysis and find out about actionable steps that will give you the tools you can use in this crucial period of your career. I'll make sure you understand the basic concepts in business data analytics and how you can apply them practically. You'll be focusing on the strategies on how you could use data analytics for financial services. Learning this will eventually help you increase profitability and customer satisfaction, too.

Understanding data will significantly improve your understanding of money in general. Knowing the principles of data science in finance can help people at trading securities. While it's impossible to be 100% sure if the investment would be profitable, data science and business analytics can provide useful insights for the right decision.

What's the practical side of understanding financial data science?

The following are the main benefits you'll receive by completing this business data science course:

  • You'll get a basic understanding of data science in finance. 
  • You'll learn about the importance of data in business and how it can change your job.
  • You'll learn how to handle big data by studying real-world examples and using suitable analytic techniques.
  • You'll also learn the ways of using data science and business analytics to detect fraud.
  • I'll also discuss potential problems with business data analytics.
  • You'll learn about data mining processes in the world of social media.
  • You'll learn about the importance of near real-time analysis and what is algorithmic trading.

So, you'll put your hands and brains on a wide range of topics. You will shift from data science and business analytics novice to someone having the fundamentals of how so many things in the modern world work. And you'll have the potential to increase the profits.

Learn data analysis and management to boost your career for many years ahead

Today over 75% of security trades are performed by machines. In the next three years, 10 Million+ new job positions will be waiting for talents competent to use data science in finance. Even if you've had nothing to do with data science and business analytics until reading this course description, you're welcome to start from scratch. The data science for business knowledge you'll get has a huge potential. You've learned maths at school, and that means you can quickly learn data analysis for finance, too.

Data Science in Finance: Make Money from Understanding How Data Works
$ 5
per course
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