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44921 days, 22 hours
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My courses
Meta-analysis for Data Science and Business Analytics
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Enhance your understanding of meta-analysis. Learn about raw mean differences and how to convert useful outcome measures to commensurate measures of effect size.
IoT Foundations: Standards and Ecosystems
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Explore IoT standards and ecosystems. Learn about IoT markets, the major security and privacy challenges facing the development of IoT, the standards development process, and more.
Scala Essential Training for Data Science
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Use Scala in your data science work. Explore the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala.
Insights on Data Science: Lillian Pierson
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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.
Apache Spark Essential Training: Big Data Engineering
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Discover how to make Apache Spark work with other big data technologies to build data pipelines for data engineering and DevOps.
Financial Forecasting with Big Data
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Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.
Blockchain Basics
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Blockchain technology presents a disruptive new way of conducting transactions over the internet. In this course, learn what the blockchain is and what it might mean to you.
Angular: API Communication and Authentication
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Discover how to use HTTP in Angular 2 applications to communicate with APIs and use JSON web tokens to authenticate users and requests.
Customer Advocacy
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Learn to how to use customer advocacy to improve customer experiences and create loyal customers who are promoters of your products and brand.
Design Thinking: Customer Experience
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Learn what customer experience is, why it's important, and how it can be used to build strong and meaningful customer relationships.
API Testing and Validation
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Learn how to validate and test your API to ensure it's working as intended and solving business problems.
Customer Retention
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Discover how to develop a customer retention strategy that helps you keep your customers loyal. Learn about a practical process that you can implement in your own business.
Employee Engagement
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A critical aspect of talent management is employee engagement. Learn why and how to create an engaged workplace and workforce.
Advanced SQL for Data Scientists
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This advanced course provides instruction for how to work with SQL databases. Learn how to work with relational databases, including how to find, extract, and prepare data.
Sales Channel Management
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Effectively manage your sales channels. Explore the sales channel landscape and the variables that impact success, and discover how to map out a profitable and effective plan.
Integrating Tableau and R for Data Science
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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.
Advanced NoSQL for Data Science
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Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.
Data Science Foundations: Data Engineering
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Discover the basics of big data with a data science expert. Learn about how to perform core data engineering tasks including staging, profiling, cleansing, and migrating data.
Twelve Myths About Data Science
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Data science expert Ben Sullins busts 12 common myths in the field of data science, separating fact from fiction about what big data really is.
Learning Data Science: Using Agile Methodology
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Deliver valuable data science insights every two weeks. Learn how to work within the data science life cycle (DSLC) and break down your work with tools such as question boards.
