Data scientists work with large amounts of complex data to help improve outcomes for their organizations. They process and analyze the data to derive meaningful, actionable information from it. These interpretations are then used for analysis and decision-making purposes that can be applied within a multitude of work environments.

If you’re interested in becoming a data scientist, it may be useful to complete a data science course. For students who wish to study from home or part time for any reason, taking an online data science course could be a possible option.

Finding the best data science short courses, including the best online data courses, depends as much on the course content as it does on you. When looking for a data science course, you may want to consider your education, which skills you want to learn and the direction you plan on taking your career. For some careers, data science short courses would be adequate, while others might warrant more in-depth training.

Data science courses’ curriculums vary depending on what you choose to focus on. Some data science courses focus on an overview. In contrast, others consist of more in-depth coverage of subcategories within the field. An in-depth data science course would likely cover more than one subdivision, while data science short courses typically focus on only one, or perhaps two, subdivisions.

The common topics included in data science courses curriculums cover:

Data science courses offer short courses vary based on what you’re interested in learning. Topics may include machine learning, artificial intelligence, programming in Python or R, and data mining. Courses may take less time than the average graduate certificate programs to complete. Some data science courses take as few as 10 hours to complete and can be done online.

Data science graduate certificate programs usually concentrate on one or two subtopics within data science. Graduate certificate programs in data science typically comprise 12 credit hours. In some cases, the courses offered as part of a certificate program count toward a master’s in data science degree. That means if you have completed one (or more) certificate programs in data science, you may not need to redo these sections if you decide to complete a master’s in data science degree

Whether you decide to complete a data science graduate certificate or a master’s in data science degree may depend on several factors. Consider your educational background, how much time you can dedicate to your studies and your career goals when making this decision.

Online learning programs help students obtain knowledge and skills from home and in their own time. The deliverables of data science short courses vary from course to course. Some may require a larger time commitment, while others could include project-based learning that provides valuable experience that you can transfer to your work environment. The best data science courses online for you could give you all the benefits that you would get from completing a traditional in-person course, with some added benefits.

Some benefits to taking an online data science course include:

Data science courses vary widely in duration and depend on the complexity and breadth of information that needs to be covered. This is sometimes true for data science short courses, as they cover a wide range of niche topics.

Many courses may take 10 or more hours to complete. These relatively shorter courses offer you the flexibility to build a new skill set and gain additional knowledge without committing to a full master’s degree in data science. In contrast to data science short courses, a master’s degree in data science often takes between one and two years to complete.

Your current skills and knowledge may have an impact on the amount of time required to complete the course, as will the complexity of the topic at hand. Some courses may take at least one week to complete, while others may offer a recommended time commitment of at least one hour per week for data science short courses. 

Data science courses cover a variety of topics and equip students with various skills. These may include:

Data science short courses typically include a project that allows you to implement the skills and knowledge you’ve gained as part of your coursework, allowing you to work through real-world scenarios. This provides opportunities for additional learning and establishes areas that need improvement or skills that need further development.

The scope of the project depends on the focus of the course that you are enrolled in. For example, a course in data cleaning may provide you the opportunity to use the Python data analysis library, known as pandas, to clean up datasets and use exploratory data analysis to translate the data into usable information. A course in communication and interactive data visualizations might include a project consisting of a presentation where data is transformed into images or graphs that allow users to understand the presented data.

Online data science courses may help you obtain valuable skills, whether you’re already working in the field or only just starting out. These programs may give you the flexibility to complete the course requirements in the way you choose, making them an option for those wanting to add to their knowledge and skills while working. Learn more today about how you can further your career with an online master’s in data science program.

Last updated: November 2020