An online course is a unit of learning that typically takes place completely online. However, some universities may require students meet in person once or twice per semester. Courses can be taken as a part of an undergraduate or graduate degree. What is an online course in data science? This unit of study often looks at the processes used to extract knowledge from data. While many people interact… Read more
An online course is a unit of learning that typically takes place completely online. However, some universities may require students meet in person once or twice per semester. Courses can be taken as a part of an undergraduate or graduate degree.
What is an online course in data science? This unit of study often looks at the processes used to extract knowledge from data. While many people interact with big data on a daily basis, not everyone knows what to do with this information. During an online course in data science, students may learn how to explore real-world problems within the data. Depending on the level of the course, students may cover topics, such as text mining, bar and scatter with GGPLOT2, and Hadoop. You should strive to take both introductory and advanced courses throughout your college degree if you want to learn more about data science.
By taking an online course in data science, you may better prepare yourself for a career in the industry. For example, students may gain both quantitative and statistical analysis skills, which can help increase their ability to think about business strategically. With this skill set, you may be better prepared for advancement.
The cost of taking an online course in data science can vary greatly from one school to the next. It may depend, in part, on the school’s location and the program used to virtually attend the class.
With an online course in data science, you may be better prepared for a number of careers in the big-data field. Your exact options will depend on the degree you obtain, whether it’s an undergraduate or graduate, and your field of study. Some students go on to be a data engineer, business analyst or statistician after taking courses in data science. If you want a management position, you may need to pursue a graduate degree.
Does this seem like the right course for you? Applying is easy. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
35 Results in Data Science
Learn data analysis from scratch, including an introduction to essential maths and Microsoft Excel.
In this course, you will learn how statistics can enhance the thrill of discovery, increase your learning, and challenge your assumptions. You will see how statistics can faci ... +
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Are your critical business decisions backed by data science? The Data Science Essentials online short course from the UC Berkeley School of Information (I School) equips you w ... +
Harness analytics to make more informed investment decisions.
If you are a Ph.D. researcher and you want to boost your abilities and competencies in advanced tools for the design, implementation, organization, quality assessment, and imp ... +
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
Searching for an Excel course for beginners to experts? This online course has something for everybody, covering beginner, intermediate and advanced aspects in Excel.
If you or your organisation handles personal information about individuals you have legal obligations to protect that information.
Investigate Data Science Fundamentals using Microsoft Azure.
Learn data analysis on Microsoft Azure using Python programming.
Unlock the financial and organisational potential of a business with balanced scorecards and other strategic analysis tools.
Build your business analytics skills and learn to manage, wrangle, and analyse data with Excel and SQLite.
Develop the fundamental Python programming knowledge and skills required to complete advanced analytics.
Supercharge your business problem solving through better data insights, analytics, and visualisation.