A basic course in Data Science. Key features include evaluating different sources of data, including metrics and APIs,exploring data through graphs and statistics,discovering how data scientists use programming languages such as R, Python, and SQL,assessing the role of mathematics, such as algebra, in data science,applied statistics, such as confidence intervals,machine learning, such as artificial neural networks, in data science and define the components of effective data visualization.

1. Certificate of Completion
Congratulations, Vijayananda Mohire
Data Science Foundations: Fundamentals
Course completed on Nov 29, 2020 at 08:09AM UTC • 3 hours 41 min
By continuing to learn, you have expanded your perspective, sharpened your
skills, and made yourself even more in demand.
Head of Content Strategy, Learning
LinkedIn Learning
1000 W Maude Ave
Sunnyvale, CA 94085
Certificate Id: Ac9NJwvZ9eijEkZLW-aiF82lZF3_