5 Online Courses In Data Science That You Can Start Right Now
So, you’ve decided to go into data science. You can use Google for hours or even days to learn how to learn the basics of data science, what materials you can study, and what courses and boot camps you can take to improve your chances of getting a job when you’re done. That’s great, but if you Google data science online course or materials, you’ll get millions of results.
When I began my journey in data science, I asked myself all these questions and more. I got too much information about becoming a data scientist, what you need to know, and what you should do. I spend a lot of time looking at courses, tutorials, and books to understand the basics of data science.
Professional Certificate in IBM Data Science
IBM makes the first course on this list. IBM has always been at the forefront of advancing technology. They have always had great teams and resources that others can use to learn about technology, like web development, app development, and even quantum computing.
IBM has a professional certificate program that lets you go from knowing nothing about data science to being a pro at it by taking 9 separate courses at your own pace. The course gives you real-life problems to solve and hands-on experience that can help you build a strong portfolio.
This certificate program will teach you the basics of programming, data science, and machine learning. You will also learn how to use Jupyter notebooks, interact with databases using SQL, visualize your results efficiently, and keep up with the latest developments in the field.
Harvard Professional Certificate in Data Science
The next thing we’ll talk about is another Harvard University certificate program. Harvard is one of the best schools in the world, but not everyone can go there. However, anyone interested and who wants a Harvard certificate can take this course. This certificate program comprises 9 courses that teach the basics of data science through the programming language R.
You also will learn the math behind data science, the basics of Git and version control, and some basic things that every data scientist should know, like how the Unix and Linux systems work together. The best thing about this certificate is that each course uses a case study to explain the main ideas and ask the real questions you need to know to build a good data science portfolio.
John Hopkins’s Data Science Course
Johns Hopkins University has a 10-course data specialization program that teaches you everything you need to know to become a data scientist, from the fundamentals of programming using R programming language to the algorithms that comprise the field of machine learning.
My favorite thing about this set of courses is that it has specific courses for important but often rushed ideas, like building a good development platform, working with markdown and Usenet, and using RStudio. Also, the two courses on cleaning and gathering data and EDA cover everything you need to get accurate data results and useful information.
This certificate also tells you more about research in the field and how to do research that can be repeated. As someone who works in academia, it is always nice to come across a data science online course that doesn’t just focus on how it can be used in business.
Read more about the online course in data science
The University of Michigan Specialization in Applied Data Science with Python
If you want to get into data science, especially natural language processing, the University of Michigan has an excellent 5-course program that focuses on the practical parts of data science. Even though this set of courses isn’t really about natural languages, it does have two courses that focus on important natural language processing ideas, mainly text mining and social network analysis.
These courses teach the basics of data science using Python as the main programming language. It will also explain the Python packages often used to make apps. The people who made the course suggested that you take it in this order: initiation to data science, plotting, deep learning, text analytics, and social network analysis. You can pay a cost to get a real certificate if you finish all 5 courses.
Dataquest Data Scientist Career Path
The last group of courses on this list is Dataquest’s data scientist career path. Dataquest is probably one of the most well-known online places to learn about data science. It has courses for people of all skill levels who want to learn R or Python.
On the path to a career in data science, many courses detail everything you need to know, from the basics of programming to databases, visualization, math, and statistics, as well as more advanced algorithms for machine learning and deep learning.
Dataquest’s curriculum is set up so you can learn everything you need to know in one place. You won’t have to go anywhere else to keep learning. So you don’t have to spend much time or work on it.
You might think it would be hard to become a data scientist. It’s not easy. It will take time, practice, patience, and persistence, just like learning. But a degree won’t be necessary. Many think you must go to school or a Bootcamp to become a data scientist. Both options are expensive, so not everyone can do them.
You can learn what you need about data science by taking online courses covering all the basics. You don’t have to leave your couch or spend much money to do this. There are a lot of online resources you can use to learn data science. There are so many that it’s easy to feel overwhelmed and lost when you’re trying to find the best one for you.