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Self Paced

Learn how to build effective teams, be a great team player and manage team conflict. Teamwork is an essential component of most professional activities in the modern world. But what makes an effective team? This course is an introduction to teamwork skills for all disciplines that will help you improve your own performance and that of your team.

Average: 2 (2 votes)
Self Paced

Collaborate with Penn faculty and fellow learners to identify the Top 10 Social Policy Issues facing the newly elected US President and Congress. Be part of the national conversation in the first 100 days of the new Presidential Administration and Congress.

Average: 1 (1 vote)
Jan 17th 2017

Learn how to safely and effectively participate in global health rotations, projects, and volunteer work. Whether you’re considering a global health learning experience such as a clinical rotation, a research project, or volunteer work, or are preparing to work abroad, this is the course for you!

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Self Paced

Diseña experiencias de aprendizaje significativas orientadas a entornos de enseñanza virtual. El curso “Aprendizaje y enseñanza virtual” responde a las necesidades de aquellos que tienen un interés directo en el aprendizaje y la enseñanza digital en cualquier campo. Es ideal para todos aquellos que desean aprender más sobre el potencial de la tecnología en entornos de enseñanza virtual formal e informal, dándoles lo oportunidad de contar con los elementos necesarios para pasar de la idea a la implementación.

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Self-Paced

Learn the basic framework to work on a broad spectrum of engineering problems concerning transfer of heat, mass and momentum. Learn through examples of everyday processes at home, in the lab and in industry.

Average: 7.3 (6 votes)
Self Paced

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from MIT and Microsoft. In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization. Plus, look at examples of how to build a cloud data science solution using Azure Machine Learning, R, and Python.

Average: 8 (1 vote)
Self Paced

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.

Average: 2 (1 vote)
Self Paced

Explore theory and practice, and work with tools like R, Python, and Azure Machine Learning to solve advanced data science problems. In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

Average: 4.5 (2 votes)
Self-Paced

Learn the fundamentals of programming with R, from reading and writing data to customizing visualizations and performing predictive analysis. In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

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Self Paced

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need. Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Average: 8.5 (2 votes)
Self-Paced

Learn how to use Hadoop technologies like HBase, Storm, and Apache Spark in Microsoft Azure HDInsight to create real-time analytical solutions.

Average: 7.3 (3 votes)
Self-Paced

Learn how to design and develop software for international use from experts who’ve helped create some of the world’s most successful software.

Average: 7.6 (5 votes)
Self Paced

Introduction to basic concepts and applications of thermodynamics in mechanical engineering.

Average: 7.9 (11 votes)
Self Paced

Learn Power BI, a powerful cloud-based service that helps data scientists visualize and share insights from their organizations’ data. Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

Average: 6 (2 votes)
Self-Paced

Learn how to use SSIS to build high performance integration solutions and ETL packages for data warehousing.

Average: 5.6 (5 votes)
Self Paced

Traverse the data analysis pipeline using advanced visualizations in Python, and make machine learning start working for you.

Average: 9 (3 votes)
Self Paced

Explore data analysis and visualization in Excel, the cloud benefits of Power BI, and Power Pivot, pivot tables, and tools previously known as Power Query. Microsoft Excel is one of the most widely used solutions for analyzing and visualizing data. Beginning with Excel 2010, new tools were introduced to enable the analysis of more data, resulting in less time spent creating and maintaining the solutions and enabling a better understanding of what the data means. This better understanding is facilitated by improved visualizations and more sophisticated business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?

Average: 4.5 (16 votes)
Self-Paced

Learn how to create intelligent apps using Microsoft Azure machine learning APIs. Learn how to create intelligent apps using Microsoft Azure machine learning APIs.

Average: 7 (2 votes)
Self-Paced

Learn the R statistical programming language, the lingua franca of data science. R is rapidly becoming the leading language in data science and statistics. Today, the R programming language is the tool of choice for data scientists in every industry and field. Whether you are a full-time number cruncher, or just the occasional data analyst, R will suit your needs.

Average: 6.6 (5 votes)
Self Paced

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. You will learn how to work with Scala or Python to cleanse and transform data, build machine learning models with Spark MLlib (the machine learning library in Spark), and create real-time machine learning solutions using Spark Streaming. Plus, find out how to use R Server on Spark to work with data at scale in the R language.

Average: 7 (3 votes)

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