This course explores the essentials of experimentation in data science, why experiments are central to any data science efforts, and how to design efficient and effective experiments.
DurationThis course explores the essentials of experimentation in data science, why experiments are central to any data science efforts, and how to design efficient and effective experiments.
Learn How To
Define common terminology in designed experiments.
Describe the benefits of multifactor experiments.
Differentiate between the impact of a model and the impact of the action taken from that model.
Fit incremental response models to evaluate the unique contribution of a marketing message, action, intervention, or process change on outcomes.
Who Should Attend
Data scientists, business analysts, market researchers, statisticians, and other who want to use experimentation and incremental response models in business
Our vision and mission are based on the belief that analytics changes the world.Connecting analytics and advocacy to create something new, better, purposeful and lasting.
Our Vision
To be the most trustworthy analytics partner on the planet.
We envision a world where everyone can make better decisions, grounded in trusted data and assisted by the productivity and speed of SAS® AI and analytics.
When decisions need to happen at just the right moment, you need the world’s most trustworthy analytics brand and people to give you confidence.
Our Mission
To provide knowledge in the moments that matter.
Making it easier and faster for more people to use powerful analytics shortens the path from data to insights and inspires bold new discoveries that drive progress.
The result is analytics that breaks down barriers, fuels ambition and gets results in the moments that matter most. Read about our mission in action.
Our Values
From the software we create to the conversations we share, our core values inform partners, customers and prospects about the type of relationship they can expect when they work with us.
AI content tools are exploding in popularity for their ability to instantly generate high-quality written content at scale. Creators and marketers should leverage these capabilities now to establish a competitive advantage or risk falling behind the AI-powered content curve.
Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information.Â
In this workshop, we will examine how ChatGPT works in live and demonstrate how it can develop even a lesson plan using this lesson itself as an example. Participants will also learn how to develop curriculum outlines using ChatGPT and other generative AI tools such as MidJourney and DALL-E2.
Data Visualization is the graphical representation of information and data by translating information to a visual context to make it for the easier for the human brain to understand and pull insights from.Â
In this course, participants will be introduced to the basic concepts of Data Analytics. This knowledge could help us understand our data better, and in many contexts enable us to make better decisions.
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