The realm of Data Science is one of the fastest-growing professions today. From academic research labs to the corporate boardroom, data scientists are in high-demand to help take enormous amounts of data and process and visualize it to help make big decisions. Data Science is also a constantly changing industry, with many different programming and scripting languages to serve all kinds of disciplines.
If you want to make more sense out of Data Science, LinkedIn Learning can help! LinkedIn Learning – available for free to current SMU students, faculty, and staff – provides over 30 different learning paths for you to understand Data Science concepts and actually start using the most important technologies of the field. Here are a few examples of what’s available!
Become a Data Scientist
This learning path contains engaging and easy ways to better understand essential Data Science concepts. Whether you’re working in IT or simply have an interest in entering the exciting field, this learning path will support you in developing a career in data science. Learn about the fundamental stages of data science work, from Statistics and Systems Engineering to Data Mining and Machine Learning.
Master Excel for Data Science
Excel isn’t just for accounting! As data strategies become pervasive in all business and institutional sectors, Excel will become even more popular as a bridge tool for non-data scientists doing more work, more often, with data. This learning path is the perfect entry point to the world of data-centric projects and skills.
Master R for Data Science
Learn the most popular data-science-specific language: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume.
And remember, there are hundreds more courses ready for you by just logging in at smu.edu/linkedin!