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Coursera

ESSEC Business School

Foundations of marketing analytics (Coursera)

Marketing & Communication Business

Dive into the world of data-driven marketing with 'Foundations of Marketing Analytics'. This course is tailored for students, analysts, and data scientists eager to harness statistical knowledge in real-world business scenarios, particularly within the realm of marketing. Whether you're an experienced statistician or a curious analyst looking to transition into a business role, this course offers a comprehensive exploration of applying analytical skills to enhance marketing strategies.

Jun 29th 2026

5-12 Weeks

Databases Big Data Data Analysis Market Segmentation Business Analytics Marketing Analytics Statistical Segmentation Managerial Segmentation Customer Marketing Measurement Strategy

Coursera

ESSEC Business School

Case studies in business analytics with ACCENTURE (Coursera)

Statistics & Data Analysis Data Science

Dive into various business analytics applications across different industries with this exclusive course from ACCENTURE. As part of the Strategic Business Analytics Specialization on Coursera, this third MOOC offers an overview of how analytical tools are used in real-life projects to solve complex business problems. Gain insights and expand your understanding of business analytics through diverse case studies.

Jun 29th 2026

3 Weeks

Healthcare Media Pharmaceutical Data Analysis Analytics Digital Transformation Business Analytics Accenture Financial Services Retail Business

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.

Jun 29th 2026

1 Week

Statistics Machine Learning Data Management Data Analysis Statistical Inference Data Science Real Life Experimental Design Randomisation Causal Inference

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.

Jun 29th 2026

1 Week

Data Science Team Management Team Data Science Team Data Scientist Data Engineer Team Building Coursera Plus Executive Data Science Specialization

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.

Jun 29th 2026

1 Week

Statistics Software Engineering Machine Learning Big Data Project Data Analysis Data Science Coursera Plus Executive Data Science Specialization

Coursera

Johns Hopkins University

Managing Data Analysis (Coursera)

Management & Leadership Statistics & Data Analysis

Dive into a one-week intensive course that unravels the complexities of managing data analysis. This program is designed to equip you with essential skills in stating clear questions, conducting exploratory data analysis, performing inference, creating formal models, interpreting results, and communicating findings effectively. Learn how to lead analytic activities within a team and drive your data analysis projects towards meaningful outcomes.

Jun 29th 2026

1 Week

Strategy Communication Inference Data Analysis Data Science Exploratory Data Analysis Prediction Interpretation Formal Modeling Coursera Plus

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Coursera

University of Michigan

Programming for Everybody (Getting Started with Python) (Coursera)

CS: Programming

Discover the fundamentals of coding with 'Programming for Everybody: Getting Started with Python' on Coursera. This introductory course is designed to teach you the essential skills needed to program computers using Python, without requiring any previous programming knowledge or complex mathematics. Perfect for beginners looking to start their journey into the world of computer programming.

Jul 6th 2026

5-12 Weeks

Programming Python Functions Python Programming Loops Coursera Plus Python for Everybody Specialization

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.

Jul 6th 2026

4 Weeks

Statistics Probability Data Analysis Distribution Statistical Inference Data Science Asymptotics Data Science Specialization Statistical Hypothesis Testing Coursera Plus

Coursera

Johns Hopkins University

Reproducible Research (Coursera)

Statistics & Data Analysis Data Science

Explore the essential concepts and practical tools of Reproducible Research on Coursera. Master the art of publishing data analyses, ensuring others can verify findings and build upon them. Ideal for researchers, analysts, and anyone working with complex datasets.

Jul 6th 2026

4 Weeks

Data Analysis Data Science Reproducible Research R Programming Reproducibility Data Science Specialization Coursera Plus Data Science: Foundations using R Specialization Knitr

Coursera

Johns Hopkins University

Exploratory Data Analysis (Coursera)

Statistics & Data Analysis Data Science

Discover the key methods of Exploratory Data Analysis (EDA) in this insightful online course offered by Coursera. Designed for beginners and professionals alike, this course will equip you with the skills to summarize data effectively, inform hypothesis development, and lay a strong foundation for advanced statistical modeling. Start your journey into the world of data analysis today!

Jul 6th 2026

4 Weeks

Statistics Data Analysis Data Science Exploratory Techniques Exploratory Data Analysis Cluster Analysis R Programming ggplot2 Data Science Specialization Coursera Plus

Coursera

University of Florida

The Horse Course: Introduction to Basic Care and Management (Coursera)

Sci: Biology & Life Sciences Veterinary

Embark on a journey into the world of horses with The Horse Course. This beginner-friendly program offers insights into essential aspects of caring for and managing horses effectively. Whether you're a seasoned equestrian or new to horse ownership, this course will equip you with the knowledge needed to provide your equine companion with the best possible care.

Jul 6th 2026

5-12 Weeks

Equine Horses Equine Management Animal Health Donkey Mules Equine Physiology Equine Behaviour Equine Nutrition Equine Health

Coursera

Johns Hopkins University

Regression Models (Coursera)

Statistics & Data Analysis Data Science

Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.

Jul 6th 2026

4 Weeks

Statistics Regression Linear Regression Data Science Regression Models ANOVA ANCOVA Logistic Regression Linear Models Regression Analysis

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