When students obtain a degree, they must follow a certain program of study, which is referred to as a course in certain countries. A course of this sort can take two to seven years to complete. A course could also refer to a single class, which would last a few weeks to a year.
What is a course in data science? A course in data science prepares students to extract knowledge from either unstructured or structured data through certain systems and processes. This course could include studies in predictive analytics, statistics, data mining, machine learning, coding, functional programing and mathematical modeling. The studies may focus on big data, but are usually not restricted to it. The course may include research, lectures, discussions and dissertations, but the exact requirements vary from school to school.
Data science is important for businesses and applied or academic research. Once this program of study is completed, a student may be prepared to enter a wide variety of industries. Some companies may be willing to give mid- to high-level management positions to someone with this education.
As you try to decide what program to pursue, you need to consider the tuition. The cost of a course in data science varies based on the institution, where you live, the location of the school and how you take classes. You can get an exact number by contacting a specific university.
What kind of job does this education prepare you for? Someone with this education could go on to be a data analyst, statistician, data architect, business analyst, database administrator, data manager or data scientist. The role you get within a company may depend on your past experience and the professional goals you have for yourself. Financial, social network, data science, engineering and search engine companies may hire people with this education.
If you know this is the path for you, you need to apply. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. [+]