Statistics Using Python (edX)

EdX

University of Edinburgh,EdinburghX

Predictive Analytics using Machine Learning (edX)

Statistics & Data Analysis Data Science

Learn how to build predictive models using machine learning. This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python.

Mar 15th 2022

5-12 Weeks

Statistics Machine Learning Neural Networks

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EdX

Purdue University,PurdueX

Probability: Basic Concepts & Discrete Random Variables (edX)

Sci: Mathematics Statistics & Data Analysis

Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. Our capacity to collect and store data has exponentially increased, but deriving information from data from a scientific perspective requires a foundational knowledge of probability. Are you interested in a career in the emerging data science field, or as an actuarial scientist? Or want better to understand statistical theory and mathematical modeling?

No sessions available

5-12 Weeks

Statistics Probability Data Analysis

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EdX

University of Edinburgh,EdinburghX

Successfully Evaluating Predictive Modelling (edX)

Statistics & Data Analysis Business

Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python. A predictive exercise is not finished when a model is built. This course will equip you with essential skills for understanding performance evaluation metrics, using Python, to determine whether a model is performing adequately.

Oct 26th 2021

5-12 Weeks

Python Evaluation Metrics

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EdX

MIT,MITx

Understanding the World Through Data (edX)

Computer Science

Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world. Speech recognition, drones, and self-driving cars – things that once seemed like pure science fiction – are now widely available technologies, and just a few examples of how humans have taught machines to analyze data and make decisions. In this hands-on, introductory course, you will examine all the forms in which data exists, learn tools that uncover relationships between data, and leverage basic algorithms to understand the world from a new perspective.

Mar 13th 2024

5-12 Weeks

Python Data Machine Learning

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EdX

University of Edinburgh,EdinburghX

Statistical Predictive Modelling and Applications (edX)

Statistics & Data Analysis Business

Learn how to apply statistical modelling techniques to real-world business scenarios using Python. In this course, you will learn three predictive modelling techniques - linear and logistic regression, and naive Bayes - and their applications in real-world scenarios. The first half of the course focuses on linear regression. This technique allows you to model a continuous outcome variable using both continuous and categorical predictors. This technique enables you to predict product sales based on several customer variables.

Jan 18th 2022

5-12 Weeks

Python Linear Regression Logistic Regression

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EdX

Purdue University,PurdueX

Probability: Distribution Models & Continuous Random Variables (edX)

Sci: Mathematics Statistics & Data Analysis

Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science. In this statistics and data analysis course, you will learn about continuous random variables and some of the most frequently used probability distribution models including, exponential distribution, Gamma distribution, Beta distribution, and most importantly, normal distribution.

No sessions available

5-12 Weeks

Statistics Probability Data Analysis

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EdX

University of Texas at Austin,UTAustinX

Foundations of Data Analysis - Part 1: Statistics Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Use R to learn fundamental statistical topics such as descriptive statistics and modeling. In this first part of a two part course, we’ll walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs. Finally, we’ll learn how to interpret our findings and develop a meaningful conclusion.

No sessions available

5-12 Weeks

Statistics Data Analysis Descriptive Statistics

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EdX

MIT,MITx

Introduction to Computational Thinking and Data Science (edX)

CS: Software Engineering Computer Science

This course is an introduction to using computation to understand real-world phenomena. This course will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving. This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity.

Mar 20th 2024

5-12 Weeks

Python Probability Computational Sciences

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EdX

RWTH Aachen,RWTHx

Basics of Machine Learning (edX)

Data Science

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

Jan 29th 2024

5-12 Weeks

Probability Machine Learning Classification

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EdX

University of Texas at Austin,UTAustinX

Foundations of Data Analysis - Part 1: Statistics Using R (edX)

Sci: Mathematics Statistics & Data Analysis

This is a hands on course with a data lab to teach fundamental statistical topics such as descriptive statistics, inferential testing, and modeling. In this first part of a two part course, we’ll walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs.

No sessions available

5-12 Weeks

Math Statistics Modeling

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EdX

MIT,MITx

Introduction to Computational Science and Engineering (edX)

Engineering Computer Science

CSE.0002x is an introduction to using computing to solve problems in engineering and science including simulation of time-dependent phenomena; optimization of systems; and quantification of uncertainty.

Jul 26th 2023

5-12 Weeks

Probability Computing Engineering

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EdX

University of Notre Dame,NotreDameX

I "Heart" Stats: Learning to Love Statistics (edX)

Sci: Mathematics Social Sciences

Is your relationship with statistics dysfunctional? We can help: Get to know stats, build a healthy bond, and maybe even fall in love! When you meet a new person, it is hard to know what to expect. You may not be able to read the person or understand what they mean. Even if you want to have a good relationship with them, this lack of understanding can make interactions tense, unpredictable and scary!

No sessions available

4 Weeks

Math Statistics Mathematics

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