LinkedIn Learning Highlights: Data Science and Analytics
42mGeneral2020-01-27
Authors
LinkedIn Learning Staff Instructor
Connecting learners with quality content
Course details
In the growing field of data science, there's always something new to learn. And whether you're looking to break into this exciting field—or just keep your data science and analytics skills sharp—LinkedIn Learning has courses that can help. Enjoy this selection of curated highlights from our very best data science courses. Dive into the basics of data ethics and privacy. Learn how to work with data analytics platforms and tools, help others visualize data, and apply advanced knowledge of machine learning, deep learning, and neural networks. Plus, discover how to solve problems by working with tools like R, Python, and SQL, explore business intelligence and Power BI, and more.
Skills covered
HighlightsData Science FoundationsData Science
Concepts
1. Highlights of Data Science Content Topics
- 01 - Teaming up for data science
- 02 - Exploring data ethics and privacy
- 03 - Using Microsoft Excel as an analytics tool
- 04 - Using statistics for data science
- 05 - Working with data analytics platforms and tools
- 06 - Helping others visualize data
- 07 - Developing AI, machine learning, and natural language processing
- 08 - Exploring deep learning, neural networks, and computer vision
- 09 - Working with Python
- 10 - Working with R
- 11 - Working with SQL
- 12 - Exploring data engineering
- 13 - Exploring business intelligence and Power BI
- 14 - Exploring business analytics and financial technology
- 15 - What s in our data-driven future