Learn Data Science Without a Degree
But how do you learn data science? Let’s take a look at some of the steps you can take to begin your journey into data science without needing a degree, including Springboard’s Data Science Career Track.
Many of our students come to Springboard’s Data Science Career Track because they want to learn data science, or they are looking to make a career transition and want a guaranteed job in data science. Learning data science isn’t easy, but there are tons of resources out there to help you get started.
But how do you learn data science? Let’s take a look at some of the steps you can take to begin your journey into data science without needing a degree.
Look for Resources
Resources for learning data science are everywhere. There are various communities such as Datatau, the Kaggle Forums, and the data science subreddit that are friendly to learners, are filled with useful resources, and help keep you current with emerging trends in data science.
Learn a Programming Language
To build a strong foundation in data science, we recommend learning at least one programming language. When picking a programming language, start with looking at Python or R since these are the most commonly used programming languages in data science
Background in Basic Statistics
As a data scientist, you’ll be exercising statistical thinking to analyze and interpret different datasets. Statistics can help you to better understand patterns in data, and extract insights to make meaningful conclusions. To build a basic background in statistics for data science, Datacamp has a free course on statistical concepts for programmers.
Build Real-World Projects
Start building a portfolio of interesting data science projects that apply your newfound data science skills. You can use sites like Github and you can use the new Kaggle kernels feature to start sharing your code and data science work with others.
Networking is always an important part of learning in a new field. Get to know your local data science community by finding local events on Meetup.
After building your network and filling your portfolio, you’ll want to focus on mastering your data science interview skills. Once you’ve mastered interviewing, and land a data science job, you’ll be on the path to a career in data science.
Ready to start learning data science? Check out Springboard’s Data Science Career Track. In the Data Science Career Track, you’ll have the opportunity to refine these skills, and gain the experience necessary to emerge into the field of data science.