Data Science Decisions in Time: Using Causal Information
This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be...
By Thomas Woolf on Coursera
About This Course
This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be especially interesting for those with datasets that are being used to make decisions: either business, medical, or technology based.
Topics Covered
Frequently Asked Questions
How much does Data Science Decisions in Time: Using Causal Information cost?
Visit the Data Science Decisions in Time: Using Causal Information course page for current pricing and available discounts.
Who teaches Data Science Decisions in Time: Using Causal Information?
Data Science Decisions in Time: Using Causal Information is taught by Thomas Woolf, Johns Hopkins University.
What skill level is Data Science Decisions in Time: Using Causal Information for?
This course is designed for advanced learners.
Similar Courses
TensorFlow: Advanced Techniques
DeepLearning.AI
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Microsoft
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Packt
Data Literacy: Exploring and Visualizing Data
SAS