What you'll learn Reinforcement Learning with Python Creating Artificial Neural Networks with TensorFlow Using TensorFlow to ...
What you'll learn Learn how to use NumPy to format data into arrays Use pandas for data manipulation and cleaning Learn classic ...
What you will learn from the Inferential Statistics How to set up and perform hypothesis tests and interpret p-values Sampling Variability and Central ...
What you will learn from the Linear Regression and Modeling Outliers in Regression Conditions for Linear Regression Regression with Categorical ...
What you will learn from the Bayesian Statistics How conditional probabilities works How to solve problems using Bayes' rule, and update prior ...
After completing Statistics with R Specialization, you will be able to… Explore data via numerical summaries and visualizations Types of sampling ...
What you will learn from the Data Visualization and Communication with Tableau Using SPAPs to Structure Your Thinking How to streamline analyses and ...
What you will learn from the Business Metrics for Data-Driven Companies Best practices for how to use data analytics Identify critical business metrics ...
By the end of the course, you will be able to learn and Understand: How to recognize contexts where it can be applied and get introduced to the basics of ...
By the end of the course, you will be able to learn and Understand: How to fit a multiple linear regression model using Excel’s Regression tool and ...
Throughout this course we will work on applied problems in different industries, such as: Finance Decisions: How should an investment manager create an ...
What you will learn Introduce the core idea of teaching a computer to learn concepts using data—without being explicitly programmed. Linear regression ...