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Showing 101-120 of 264 items.

DJ Patil: Ask Me Anything

Join former U.S. chief data scientist DJ Patil, as he tackles questions posed by LinkedIn members. Topics range from data security to the future of data science.

Docker for Data Scientists

Sharing data science work can be messy. Learn how to use Docker—the popular tool for deploying and managing apps as containers—to more efficiently share machine learning models.

Edge Analytics: IoT and Data Science

Learn how edge analytics fits alongside big data, traditional data warehousing, and other analytical environments.

Elasticsearch Essential Training

Get up to speed with Elasticsearch. Learn about the architecture of Elasticsearch, the different deployment methods, how to query data, how to work with Kibana, and more.

Ethics and Law in Data Analytics

Analytics and AI are powerful tools that have real-word outcomes. Learn how to the practical, ethical, and legal frameworks to be an effective analytics professional.

Everyday Statistics, with Eddie Davila

Learn how to decode the statistics that pop up on a daily basis—from political polls to football scores. Eddie Davila explores a different real-world topic each week.

Exam Tips: Microsoft Azure AI Fundamentals (AI-900)

Explore AI-900 certification exam topics and the capabilities Microsoft AI. Learn about cognitive services, machine learning, image analysis, natural language processing, and more.

Excel Statistics Essential Training: 1

Learn statistics. Dr. Joseph Schmuller uses Microsoft Excel to teach the fundamentals of descriptive and inferential statistics.

Excel Statistics Essential Training: 2

Learn more statistics fundamentals. Find out how to perform ANOVA, regression, and correlation testing and run simulations in Microsoft Excel.

Excel VBA: Managing Files and Data

Creating filters Chaining and combining filter criteria Determining whether workbooks and worksheets exist, with VBA Opening, closing, and saving workbooks Using VBA to calculate data via Excel's built-in functions Creating charts with sparklines Adding fields to UserForms Manipulating PivotTables with VBA

Financial Forecasting with Big Data

Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.

Foundations of The Fourth Industrial Revolution (Industry 4.0)

Explore the technology and disruptors of Industry 4.0. Learn about the impact of I4.0, the fourth industrial revolution, on our society, jobs, and lives.

Future Proofing Your Data Science Career

Learn what the future holds for data science professionals and the skills you need for a successful and sustainable career.

Get a Remote Data Science Job

Learn how to break away from the office and find your dream job as a remote data scientist.

GitHub for Data Scientists

Learn how to get the most out of GitHub, not just as a code repository, but also as a resource for finding software and connecting with an engaged community.

Google Cloud Platform for Machine Learning Essential Training

Learn how to design machine learning solutions with Google Cloud Platform. Review services such as AutoML, CloudML Engine, and the GCP machine learning APIs.

Hadoop for Data Science Tips, Tricks, & Techniques

Get up to speed with Hadoop. Learn tips and tricks for doing data science work in this popular big data platform.

Healthcare Analytics: Regression in R

Discover linear regression modeling and logistic regression modeling using R. Learn about how to prepare, develop, and finalize models using the forward stepwise modeling process.

Insights on Data Science: Lillian Pierson

Join Lillian Pierson, a leading expert in the field of big data and data science, as she shares observations and tips to help you embark on a career as a data scientist.

Integrating Tableau and R for Data Science

Discover how to combine Tableau and R to provide your business with the ability to see and understand your data. Learn how to integrate these platforms and when to use either one.