Statistical Inference

Coursera

Johns Hopkins University

Statistical Inference (Coursera)

Statistics & Data Analysis Data Science

Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.

Oct 19th 2026

4 Weeks

Statistics Probability Data Analysis

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Coursera

Johns Hopkins University

Data Science in Real Life (Coursera)

Management & Leadership Statistics & Data Analysis

Discover how to effectively manage real-life data analysis projects with 'Data Science in Real Life'. This course teaches you to navigate through complex, imperfect datasets and turn them into clear, actionable insights. Perfect for professionals looking to refine their skills and lead successful data science teams.

Oct 19th 2026

1 Week

Statistics Machine Learning Data Management

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EdX

HarvardX,Harvard University

Statistics and R (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into the world of data analysis with 'Statistics and R' on edX. This course is perfect for beginners in the life sciences who want to understand basic statistical concepts and learn how to use R programming to analyze data. Gain proficiency in computing p-values and constructing confidence intervals, all while enhancing your R skills.

Self Paced

Self-Paced

Statistics Data Analysis Statistical Inference

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EdX

HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced

Self-Paced

Statistics Modeling Statistical Inference

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Coursera

University of Michigan

Inferential Statistical Analysis with Python (Coursera)

Statistics & Data Analysis Data Science

Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.

Oct 19th 2026

4 Weeks

Statistics Statistical Inference Inferential Statistics

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EdX

University of Adelaide,AdelaideX

MathTrackX: Statistics (edX)

Sci: Mathematics

Dive into the world of statistical inference with our comprehensive online course, MathTrackX: Statistics. Building upon your understanding of probability and random variables, this course will equip you with the skills to apply statistical concepts to real-world scenarios, enhancing your ability to analyze and interpret data effectively.

Self Paced

Self-Paced

Math Statistics Statistical Inference

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Coursera

University of Colorado Boulder

Managing, Describing, and Analyzing Data (Coursera)

Statistics & Data Analysis Data Science

Discover the fundamentals of data analysis in this engaging Coursera course. From managing your data to accurately describing it using descriptive statistics and R software, you'll gain a solid foundation in interpreting and utilizing data effectively. Explore key probability distributions and learn how to analyze datasets with precision. This course is perfect for beginners looking to start their journey into the world of data science.

Oct 19th 2026

5-12 Weeks

Statistics Probability Data Analysis

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EdX

University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Dive into the world of statistical analysis with 'Basics of Statistical Inference and Modelling Using R'. This course will equip you with a strong foundation in understanding why certain statistical methods work, how to implement them using R, and when to apply them. It's an essential step for anyone looking to delve deeper into data science.

Self Paced

Self-Paced

Statistics Modeling Data Analysis

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EdX

University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Expand your understanding of statistical analysis by delving into Advanced Statistical Inference and Modelling Using R. This course is designed for those who have a foundational grasp of linear regression and wish to apply their skills to more complex scenarios involving binary, count, or categorical responses, along with hierarchical experiments. Learn from experts and enhance your ability to perform advanced statistical analyses using the powerful programming language R.

Self Paced

Self-Paced

Modeling Data Analysis Linear Regression

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