The increasing number of data sources and growing data sets provide huge opportunities to use such data and its analysis to solve many problems. Along with the increase in data volume, the demand for educated specialists in the field of Data Science continues to grow.
More and more organizations are opening up their doors for big data and try to unlock its power.
Data Science has become a revolutionary technology that every organization would like to use.
Data-driven approach allows the managers to analyze the phenomena objectively and make the rational decisions, therefore the course is the case study of utilizing data sources and data transformation into managerial information.
Lack of Data Science experts will sooner or later have very serious consequences for organizations.
Business needs analytical tools operated by skilled personnel in order to extract insights from unstructured data.
Data Science is the industry with the big skills gap. Data scientist is positioned as one of the top jobs as far as salary, work demand, and job satisfaction.
The data scientist role is becoming increasingly important as businesses rely more heavily on data analytics to drive decision-making as core component of their IT strategies.
Many organizations have vacant Data Science positions and estimate it takes months to fill such a position.
The data placed on the Internet can be a source of great value, but often remain unprocessed. The automation technology based on bots or AI digital workers, can be used for processing the data without manual intervention.
Development of data processing technology is readily available today more than ever. Companies' expenditures on data analytics technology and tools are constantly growing.
The question arises - where will this data/money go or who will analyse/earn it?
See what experts are saying about the industry, why you should join and how to learn Data Science skills.
Our studies are intended for people who want to turn data into business value
|Data Analytics in Business||90|
|Data Integration for Business Intelligence||45|
|Programming for Data Science||45|
|Advanced Data Visualization||45|
|Marketing Analytics and Decision Making||30|
|Communication and Presentation Skills||15|
|Agile Project Management||30|
|Data-driven Business Management Project||45|
|Business Foreign Language||120|
|Robotic Process Automation||45|
|Qualitative data analysis||45|
|Explainable Artificial Intelligence||45|