Without thesis
Applied Data Science
Applied Data Science
Master
English
Start
8000 USD
Program Summary
Today, huge amounts of data are produced through internet technologies, social media and through Internet of Things technologies that consist of more than 50 billion smart probes distributed across the Earth. Of these huge data that are currently produced every second, only 5% are analyzed and exploited.
Research that has begun to receive unrivaled attention from research centers and major companies has demonstrated that the use of information and knowledge extracted from these data creates a qualitative leap in the profits of those companies and reduces their costs and increases the degree of effectiveness of decisions taken in an unprecedented way before.
This global trend towards the use of evidence - which has come to be called the oil of the twenty-first century - created a kind of fever and hysteria towards the adoption of smart data analysis techniques by all institutions, regardless of the nature of their work, size or affiliation.
Universities
| University | Cost | Price before discount | Cash price after discount | Register |
|---|---|---|---|---|
| TED University | 8000 | 8000.00 |
Register Now |
Opportunities
• Data analyst: It works to collect data, analyze the institution and extract information and knowledge from it, and then use that to make decisions.
• The data scientist: In addition to what the data analyst does, he uses the foundations of machine learning in building predictive models capable of predicting the future.
• Data Engineer: Designs and manages the company's infrastructure and data systems.
• Machine Learning Engineer: His work intersects a lot with the data engineer and the data scientist, but he focuses more on using machine learning techniques in analyzing data and building predictive models.
• Quantitative Analyst: works on using the foundations and techniques of statistics to answer managers ’questions and solve the institution’s problems based on the information derived from the data.
• Data Storage Systems Designer: It manages and designs the organization's data storage and storage systems.
• Business Systems Analyst: focuses on analyzing the company's business, studying market trends and making use of it to raise the company's efficiency.
• Specialist in Statistics: works on using the principles and foundations of statistics in analyzing data and benefiting from the results in making decisions.
• Systems analyst: works to identify the problems that the institution suffers from and work to provide solutions to them.
• Marketing Analyst: It works in a central way to analyze sales and profits data and analyze market trends to increase the efficiency of the company, increase its profits and reduce costs in it.
• Free data analyst: This requires the data scientist to work freely to provide data analysis services to institutions, companies and individuals.
Location
Ziya Gökalp Caddesi No: 48 06420، Kolej Çankaya ANKARA