We’re excited to announce our new Python for Data Science course. Dive deep into data organization, manipulation, and visualization techniques that will help boost your skills as a data professional. This new course adds another critical component to our Data Scientist track in SoloLearn — a set of programming courses assembled by our experts to teach you the tenets of data analysis, data science, and machine learning.
Why Data Science?
Data Science is a specialized field within STEM that combines work in statistics and computation to interpret data for decision-making purposes. In many ways, Data Science has become a buzzword in the corporate world and is a career in high demand by many companies. In a 2021 McKinsey survey, nearly 50 percent of all global organizations believe that data analytics has fundamentally or significantly transformed how their industries compete. Being able to confidently understand and work with data is crucial for every profession from marketing to finance, not reserved just for developers.
What’s in the Python for Data Science course?
Our latest course teaches you how to manipulate, visualize, and interpret data using Python. Covering some of the most popular Python libraries, including pandas, NumPy, Matplotib, and more, this course includes multiple real-life practice challenges to test the knowledge you’ve learned. Our Code Coaches, Code Playground examples, and Code Projects are designed by experts to teach you using real code and will challenge you to work with data like a pro.
Python for Data Science offers:
- Over 20 new lessons with new quiz questions throughout
- Several new Code Coach practice challenges to test your knowledge
- 4 Code Projects based on real-world data science interview questions that you’ll need to complete to get your certificate
Whether you are already advanced, or just getting started, try the Python for Data Science course and get one step closer to reaching your goals. Happy learning!