Statistical Thinking for Data Science and Analytics
About this Course
This statistics and data analysis course will pave the statistical foundation for our discussion on data science. You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.Created by: Columbia University
Level: Introductory
Related Online Courses
The demand for software engineers doubled according to the “State of Software Engineers” report by the tech specialist Hired. Nearly every industry uses software to accelerate its growth, pro... more
Prototyping is part art, part science. In this MOOC you will learn both UI design (user interface design) and the ergonomic criteria (grounded in cognitive psychology), which underlies it. With... more
This is the second of three courses in the Machine Learning Operations Program using Google Cloud Platform (GCP). Data Science, AI, and Machine Learning projects can deliver an amazing return on... more
This course, part of the Software Development MicroMasters Program, introduces how teams design, build, and test multi-version software systems. You will learn software engineering principles that... more
This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how... more
Powered by
