Statistics & Data Analysis

Filter Courses within "Statistics & Data Analysis" (Click to filter)
Econometrics: Methods and Applications (Coursera) Coursera
Erasmus University Rotterdam

Econometrics: Methods and Applications (Coursera)

Discover how to harness the power of data analysis for solving complex business and economic problems with Econometrics: Methods and Applications. This course by Erasmus University Rotterdam equips you with essential econometric tools and techniques to build models that can forecast trends and support informed decision making.

Oct 5th 2026
5-12 Weeks
Introduction to Neurohacking In R (Coursera) Coursera
Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Dive into the world of neurohacking with our comprehensive Coursera course. Master the R programming language and its packages as you explore advanced techniques for analyzing neuroimaging data, specifically structural MRI. Gain expertise in correcting inhomogeneities, registering images, and visualizing results effectively.

Oct 5th 2026
4 Weeks
Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

Oct 5th 2026
5-12 Weeks
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Dive into the world of Business Statistics with our advanced course on Confidence Intervals and Hypothesis Testing. Gain essential skills that will empower you to make informed decisions, quantify risks, and understand the nuances of statistical analysis as applied to real-world business scenarios. This course is perfect for those looking to elevate their analytical capabilities in a business context.

Oct 5th 2026
4 Weeks
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

Discover the art and science of data representation through this engaging online course. Designed to equip you with essential skills in Python-based data visualization, this course focuses on mastering plotting, charting, and data representation techniques using matplotlib. Whether you're a beginner or an intermediate user, this course will enhance your ability to create compelling visual stories from complex datasets.

Oct 5th 2026
4 Weeks
Functional Programming in Scala Capstone (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Programming in Scala Capstone (Coursera)

Dive into the final project of our Functional Programming in Scala series and build a comprehensive, data-driven application. This capstone course will challenge you to process several gigabytes of real-world data, creating interactive visualizations that track temperature changes globally over time.

Oct 5th 2026
5-12 Weeks
Practical Time Series Analysis (Coursera) Coursera
The State University of New York

Practical Time Series Analysis (Coursera)

Dive into Practical Time Series Analysis to gain a deep understanding of how to effectively analyze and interpret time-based data. This course is perfect for those who need more than just basic analytics skills but don't have formal training in the field. Learn routine presentation and analysis techniques that will enhance your professional insights.

Oct 5th 2026
5-12 Weeks
Spatial Data Science and Applications (Coursera) Coursera
Yonsei University

Spatial Data Science and Applications (Coursera)

Discover the world of Spatial Data Science, a rapidly growing field that combines geography, statistics, and computer science. This course is designed for data scientists and analysts looking to expand their expertise into spatial analysis and GIS. Learn how to harness the power of location-based data to solve complex problems in various industries.

Oct 5th 2026
5-12 Weeks
Page 1 Next ›