Data Science

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Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey to master the art and science of data analysis with our Data Analysis Tools course on Coursera. This course is designed for learners who want to delve into statistical testing, hypothesis formulation, and application of various analytical techniques such as ANOVA, Chi-Square tests, and Pearson correlation analysis using either SAS or Python. Whether you're a beginner looking to build foundational skills or an intermediate analyst aiming to refine your abilities, this course offers the tools and knowledge needed to transform raw data into actionable insights.

Oct 5th 2026
4 Weeks
Python Data Analysis ANOVA
Details
Data Science in Real Life (Coursera) 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 5th 2026
1 Week
Statistics Machine Learning Data Management
Details
Building a Data Science Team (Coursera) Coursera
Johns Hopkins University

Building a Data Science Team (Coursera)

Management & Leadership Statistics & Data Analysis

Embark on a one-week journey to master the art of assembling and managing a high-performing data science team. This course will equip you with essential skills in hiring the right individuals, structuring your team for maximum productivity, and effectively overseeing growth and performance. Whether you're new to data science leadership or looking to refine existing strategies, this course offers valuable insights and actionable steps.

Oct 5th 2026
1 Week
Data Science Team Management Team
Details
A Crash Course in Data Science (Coursera) Coursera
Johns Hopkins University

A Crash Course in Data Science (Coursera)

Management & Leadership Statistics & Data Analysis

Embark on a one-week journey to understand the buzz around data science and big data. This concise course is designed for anyone looking to grasp the essentials without any unnecessary complexity. Whether you're new to the field or seeking to manage data scientists, this class will quickly bring you up to speed with data science principles.

Oct 5th 2026
1 Week
Statistics Software Engineering Machine Learning
Details
Econometrics: Methods and Applications (Coursera) Coursera
Erasmus University Rotterdam

Econometrics: Methods and Applications (Coursera)

Statistics & Data Analysis Data Science

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
Econometrics Data Analysis Linear Regression
Details
Introduction to Neurohacking In R (Coursera) Coursera
Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Statistics & Data Analysis Data Science

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
Brain Neurology R Language
Details
Dealing With Missing Data (Coursera) Coursera
University of Maryland, College Park

Dealing With Missing Data (Coursera)

Statistics & Data Analysis Data Science

Discover the essential skills needed to effectively manage missing data with 'Dealing With Missing Data' on Coursera. This course delves into advanced survey analysis techniques such as weighting, nonresponse adjustments, and imputation methods. Learn how to apply these strategies using industry-standard tools like R®, Stata®, and SAS®. Perfect for statisticians, researchers, and analysts looking to enhance their data handling capabilities.

Oct 5th 2026
4 Weeks
Data Analysis Data Collection SAS
Details
Big Data Integration and Processing (Coursera) Coursera
University of California, San Diego

Big Data Integration and Processing (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of big data integration and processing with our expert-led online course. Whether you're new to big data or looking to enhance your skills, this course will equip you with the knowledge and hands-on experience needed to effectively handle and analyze massive datasets. Learn how to retrieve data from various sources, understand big data management operations, and apply these concepts using Hadoop and Spark platforms.

Oct 5th 2026
5-12 Weeks
Processing MongoDB Big Data
Details
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