LinkedIn Learning Highlights: Data Science and Analytics

Description

In this course, you will :

• Learn the fundamentals of data ethics and privacy.
• Learn how to use data analytics platforms and tools, assist others in visualising data, and apply advanced machine learning, deep learning, and neural network knowledge.
• Learn how to solve problems using tools like R, Python, and SQL, as well as business intelligence and Power BI.

Syllabus :

1. Highlights of Data Science Content Topics

• Teaming up for data science
• Exploring data ethics and privacy
• Using Microsoft Excel as an analytics tool
• Using statistics for data science
• Working with data analytics platforms and tools
• Helping others visualize data
• Developing AI, machine learning, and natural language processing
• Exploring deep learning, neural networks, and computer vision
• Working with Python
• Working with R
• Working with SQL
• Exploring data engineering
• Exploring business intelligence and Power BI
• Exploring business analytics and financial technology
• What’s in our data-driven future?