Data science is an expanding domain in the world of analytics. It couples data modelling, pattern recognition, and distribution estimation practices with advanced mathematics to extract knowledge from data to make predictions or derive conclusions. It’s a relatively new discipline quickly becoming one of the most significant growth industries. Companies like Facebook and Google invest billions into research labs across the U.S. for this emerging technology.
Data science is not a new discipline, however. It’s been around in some form since at least the late 19th century when statisticians like Francis Galton were working to connect geometrical patterns to the actual world. More recently, data science has become more specific. By the late 1990s, Google had decided that algorithmic optimization and machine learning would be helpful in real-world situations and created a new department within which many fields could be combined to accelerate the pace of technological development.
What are the courses for Data Science?
There are currently over 200 data science courses available for you to take. Some of these programs will be specific to certain areas, like statistics and programming, while others will be more general. You should also consider what type of learning experience you’d prefer – whether a self-paced course with many lectures or a more interactive program with hands-on projects and project management training.
How do I get started learning Data Science?
It depends on your goal as far as how deep training you need. If you’re not sure if you are interested in data science, then the best place to begin is with a simple introductory program. However, if you’re more interested in a more advanced degree with additional fellowships and awards, then you should look at bachelor’s degree programs in data science. Many online educators create online courses for students. Finally, suppose you have an interest in technology, and these fields are new to you but seem like something that might be worth pursuing. In that case, there are also associate degree programs available – which will take two years to complete and will likely feature very high employment rates when it comes time for graduates to seek jobs.
Who sells Data Science Courses and other learning materials?
Many different companies selling online courses of data science courses and learning materials. The best source for finding these is likely Lynda.com, which includes hundreds of courses from major universities and in-house programs. There’s also Udemy, which features courses from experts in the field who have been developing industry standards for data science. Finally, you can search for “data science course” or “good data science books” and find plenty of resources that way.
What are the Benefits of Data Science?
Data science is a highly beneficial discipline to pursue despite its recent surge in popularity. It helps organizations to make better decisions about their businesses, and it’s a small field that’s growing by the day. Even though there’s not a lot of competition in the world of data science, there are still many jobs to be found.
There are also other benefits to pursuing a discipline like data science. Perhaps most importantly, it helps expose you to newer technology and teaches you how to communicate with specialized audiences and teams, whether businesses or individual communities. By building your skills in data science, you can also ensure that your career will always be at the forefront of technological development because this field is constantly changing as discoveries are made.
What are some of the skills required to be a Data Scientist?
There’s no specific set of skills that you’re required to have, although certain areas will help more than others. The most important skill that you need to have is using math, which includes arithmetic, statistics, geometry, and logic. You also need to understand how to program to be able to write the code that’s used to design algorithms. Data science relies on performing certain types of evaluations to derive conclusions. This includes Bayesian statistics and linear regression analysis. Finally, data science requires a lot of data to be successful – including data mining and pattern recognition.
What are some excellent resources for learning Data Science?
There are many great online resources for learning about data science – including free resources like Coursera and MIT OpenCourseWare. You can also learn about data science through books and training and attend conferences like the San Francisco Bay Area Data Science User Group meeting. If you’re interested in a specific type of data science, like text mining or predictive modelling, then there are also many articles or courses that focus on those specific areas.