11-20 Hours/Week

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R Programming (Coursera) Coursera
Johns Hopkins University

R Programming (Coursera)

Discover the fundamentals of R Programming with this beginner-friendly course designed by experts at Coursera. Whether you're new to coding or looking to enhance your data analysis skills, this course will guide you through installing and configuring essential software, while introducing key programming concepts tailored for statistical applications. Learn how to harness the full potential of R for data manipulation, visualization, and analysis.

Jun 29th 2026
4 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

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.

Jun 29th 2026
4 Weeks
Exploratory Data Analysis (Coursera) Coursera
Johns Hopkins University

Exploratory Data Analysis (Coursera)

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!

Jun 29th 2026
4 Weeks
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

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.

Jun 29th 2026
4 Weeks
Google Cloud Platform Fundamentals: Core Infrastructure (Coursera) Coursera
Google

Google Cloud Platform Fundamentals: Core Infrastructure (Coursera)

Discover the essential concepts and services of Google Cloud Platform in our foundational course. From understanding key GCP services like App Engine and Compute Engine to managing resources and policies with Cloud Resource Manager and Cloud Identity & Access Management, this course equips you with the skills needed for effective cloud computing. Dive into hands-on labs to gain practical experience.

Jun 29th 2026
1 Week
Sensor Manufacturing and Process Control (Coursera) Coursera
University of Colorado Boulder

Sensor Manufacturing and Process Control (Coursera)

Embark on a journey into the world of Sensor Manufacturing and Process Control with our specialized online course. Following up on previous courses in our Embedding Sensors and Motors specialization series, this course dives deep into advanced sensor applications and control processes. With expert guidance and practical lab exercises, you'll gain invaluable skills to optimize your manufacturing processes.

Jun 29th 2026
5-12 Weeks
Preparing for the Google Cloud Professional Cloud Architect Exam (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Cloud Architect Exam (Coursera)

Elevate your cloud architecture expertise with this Coursera course designed specifically for aspiring Google Cloud Professional Cloud Architects. This top-down approach helps you identify strengths and areas needing improvement, enabling you to create a personalized preparation strategy. Learn at your own pace and become proficient in the skills demanded by professionals in the field.

Jun 29th 2026
1 Week
Probabilistic Deep Learning with TensorFlow 2 (Coursera) Coursera
Imperial College London

Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Dive into the world of Probabilistic Deep Learning with this comprehensive course designed for those who have already grasped foundational concepts in deep learning with TensorFlow. This specialization focuses on teaching you how to incorporate probabilistic methods into your models using TensorFlow 2, enabling you to better handle noise and uncertainty in real-world applications such as autonomous driving or medical imaging.

Jun 29th 2026
5-12 Weeks
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