Statistics & Data Analysis

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Advanced R Programming (Coursera) Coursera
Johns Hopkins University

Advanced R Programming (Coursera)

Dive deep into the world of R programming with our Advanced R Programming course. Learn essential skills for developing sophisticated data science tools, including functional programming, error handling, object-oriented programming, profiling, benchmarking, debugging, and function design. Perfect for those looking to enhance their R expertise and create more efficient, reliable applications.

Nov 16th 2026
4 Weeks
Hands-on Text Mining and Analytics (Coursera) Coursera
Yonsei University

Hands-on Text Mining and Analytics (Coursera)

Dive into the world of data science with our 'Hands-on Text Mining and Analytics' course. Gain hands-on experience in core techniques like text preprocessing, sentiment analysis, and topic modeling, all while working with real-world datasets and a Java toolkit. Become proficient in extracting valuable insights from textual data.

Nov 16th 2026
5-12 Weeks
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions (Coursera) Coursera
Rice University

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions (Coursera)

Discover the essential skills of interpreting and applying business statistics with our introductory course. From understanding descriptive statistics to grasping statistical distributions, you'll learn how to make accurate interpretations from data and make better business decisions.

Nov 16th 2026
4 Weeks
Essential Design Principles for Tableau (Coursera) Coursera
University of California, Davis

Essential Design Principles for Tableau (Coursera)

Discover the secrets to creating compelling Tableau visualizations with our 'Essential Design Principles for Tableau' course. Designed for those who already have a grasp on Tableau's tools and data visualization basics, this course will guide you through applying key design principles to transform your data into powerful stories that resonate with your audience.

Nov 16th 2026
4 Weeks
Building R Packages (Coursera) Coursera
Johns Hopkins University

Building R Packages (Coursera)

Discover the art of organizing and distributing your R code with 'Building R Packages'. This course, offered by Coursera, will teach you how to maximize the usefulness and reusability of your data science software by adhering to community-based standards and providing a great user experience. Whether you're new to package development or looking to refine your skills, this course is designed for anyone who wants to share their R code effectively.

Nov 16th 2026
4 Weeks
Building Data Visualization Tools (Coursera) Coursera
Johns Hopkins University

Building Data Visualization Tools (Coursera)

Unlock the power of data visualization with our 'Building Data Visualization Tools' course. Designed for aspiring data scientists, this course equips you with the skills needed to develop cutting-edge visualization techniques that bring complex datasets to life. Perfect for those looking to enhance their data storytelling abilities and contribute to the data science revolution.

Nov 16th 2026
4 Weeks
Visual Analytics with Tableau (Coursera) Coursera
University of California, Davis

Visual Analytics with Tableau (Coursera)

Dive deep into the world of data visualization with 'Visual Analytics with Tableau'. This Coursera course is designed for those who want to enhance their skills in transforming complex datasets into clear, actionable insights using Tableau's powerful tools. From charting techniques to advanced mapping and table calculations, this course equips you with the expertise needed to make data storytelling a reality.

Nov 16th 2026
4 Weeks
Linear Regression for Business Statistics (Coursera) Coursera
Rice University

Linear Regression for Business Statistics (Coursera)

Dive into the world of Linear Regression Analysis with our specialized online course tailored for business statistics enthusiasts. This course is part of a broader Business Statistics and Analysis specialization, where you'll learn essential tools like regression analysis to enhance your predictive modeling skills. Gain expertise in applying procedures such as dummy variable regressions, transforming variables, and interaction effects through practical Microsoft Excel examples.

Nov 16th 2026
4 Weeks