Data Science

Data Science Mathematics Statistics

Statistics and Probability for Data Science

A lot of people ask me about breaking into the fields of AI and data science. Many are surprised to hear that the core of it all revolves around statistics more so than “just code.” This session on Statistics And Probability will cover all the fundamentals of stats and probability. Topics Covered : 00:00:00 Introduction […]

Read More
Data Science

What Are the Six Business Skills Critical for Data Scientists?

This talk will introduce the foundational business skills you’ll need to deliver business value and grow your career as an analyst or data scientist. Drawing on best practices, published research, case studies, and personal anecdotes from two decades of industry experience, David Stephenson will give an overview of foundational skills related to Company, Colleagues, Storytelling, […]

Read More
Career Data Data Science

Steps To Define Key Performance Indicators(KPI’s) for Data Analysts

Find out what the steps are to define KPIs for data analysts.

Read More
Data Science Red Hat

Data Services Office Hour

Join Michelle DiPalma for Red Hat Women’s panel discussion on “Data Science Model Life Cycle Explained”

Read More
Career Data Science

Thinking about a data science career? Start here.

Are you looking to launch a career in data science? Watch this free webinar with TDI instructor, Rich Ott, and learn

Read More
AI Data Data Science Guest Post

Data Forensics in Police Case Work

The following is a guest post by Ainsely Lawrence Digital technology has improved life in numerous ways, and we are now more connected than ever. Yet for all of their positive traits, the digital devices we rely on are highly vulnerable to cybercrime and similar nefarious activities like catfishing. If your network isn’t secure, hackers […]

Read More
Data Data Science Red Hat

What Are Red Hat Data Services?

Red Hat’s Pete Brey discusses trends in data management and discusses key attributes of Red Hat Data Services and Red Hat OpenShift Data Foundation. Learn more.

Read More
Data Science

How to Implement Agile Workflows For Analytics and Machine Learning

Sprints, Scrum, Kanban, Stories, Epics, Retrospectives, Extreme Programming, Velocity…Agile’s opaque terminology and practices, plus the zeal of its advocates, can be off-putting to newcomers. Can it even be applied to data science, analytics and machine learning projects? In this talk we provide a gentle introduction to implementing an agile workflow for a data science team. […]

Read More