- The history of OpenAI’s ChatGPT - What led to its rise, how it took the world by storm, and how tech giants like Google and Meta have responded.
- The technologies that ChatGPT is based on, for a better understanding of what’s happening “under the hood” and why it responds the way it does.
- The ethical and practical problems that have surfaced with this new technology, along with examples of how ChatGPT’s responses have gone awry.
- How to get started setting up an account and the different places you can interact with ChatGPT.
- A four-step process for creating an effective prompt.
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ChatGPT Basics was developed by Ben Jones, Data Literacy CEO and Professor of Data Visualization Theory at The University of Washington’s Foster School of Business. In this course, you'll learn:
Have you ever felt lost in a sea of data? Many people today rush to apply very powerful data-working tools, or they just dive right into their data without giving much thought to what’s below the surface. In this course, you’ll learn a step-by-step process that will help you work effectively with data. The process is called The WISDOM Data-Working Flow, and you can use it with any data set, any software tool or programming language, any question that you’d like answered, and any decision that you’d like to turn into a data-informed decision. The emphasis is on applying data to real-world questions, and on identifying the many shortcomings in data that people often miss in their haste to use whatever data they have. Learning this process will help you avoid many of the most common mistakes, and it will give you a framework to apply, along with helpful pointers at every step along the way. Along with mastering the Wisdom Data-Working Flow, you'll gain access to over 25 detailed tutorials that will teach you how to use tools such as Tableau, MS Power Query Editor, MS Power BI, R Studio, SQL, Excel, and more! Data Literacy Level 2 was developed by Ben Jones, Data Literacy CEO and Professor of Data Visualization Theory at The University of Washington’s Foster School of Business. Not feeling ready for Level 2 just yet? Consider purchasing along with the first two courses in our Core Data Literacy Series, Data Literacy Fundamentals and Data Literacy Level 1. With any purchase of two or more products, a 10% discount will automatically be applied to your cart at checkout (please note, this does not apply in conjunction with other promo codes). Check out our full lineup of offerings in our store. Interested in team pricing? Inquire here. You can also buy this course as a gift for someone else.
Growing in data literacy is one of the most strategic development paths we can embark upon. In this course you’ll learn about the 17 Key Traits that highly data literate individuals possess. As you progress through the course, you’ll complete a self-assessment by scoring your level of proficiency in each trait and its importance to your own success in the near future. We provide an interactive worksheet that you can use to enter your scores and see where each trait falls on a two-by-two grid. Use the results of your self-assessment to identify your strengths and most significant data learning opportunities in the year ahead. In just over an hour, you’ll learn the knowledge, skills, attitudes and behaviors of highly data literate individuals and will be able to customize your own data literacy learning journey based on your self-assessment results. Consider purchasing along with Data Literacy Fundamentals, Data Literacy Level 1, or Data Literacy Level 2. With any purchase of two or more products, a 10% discount will automatically be applied to your cart at checkout (please note, this does not apply in conjunction with other promo codes). Check out our full lineup of offerings in our store. Interested in team pricing? Inquire here. You can also buy this course as a gift for someone else.
Do you ever look at a graph or chart and feel stumped on where to start? Sure, you see the information it’s conveying, but are you interpreting it correctly and growing in wisdom? Do you understand how certain basic building blocks of graphical displays such as marks and encoding channels may be influencing your interpretation? Take your visual data literacy skills to the next level with Data Literacy Level 1: Learning to See Data. This course is for anyone who finds themselves needing to read and interpret graphical displays of data – charts, maps, and dashboards – on a regular basis. Many of us encounter such data visualizations at work and at home, and few of us were trained to make sense of them. This course will turn you into a fluent chart reader by teaching you the visual language of data. Data Literacy Level 1 was developed by Ben Jones, Data Literacy CEO and Professor of Data Visualization Theory at The University of Washington’s Foster School of Business. By the end you’ll have learned:
- How data is converted to graphical marks with visual encodings
- Principles to help you evaluate the effectiveness of charts
- The 25 most common chart types that everyone should know
- 16 helpful chart reading tips to use when breaking down a chart
- Critical scenarios like change over time and part-to-whole
- What pitfalls to avoid when interpreting visual displays of data
Learn the language of data with Data Literacy Fundamentals: Understanding the Power & Value of Data. In this course you will lay a firm foundation in Data Literacy by putting in place 8 building blocks of understanding that will help you grasp what data is, how it’s used, and ways to think about incorporating it into different areas of your life and career. Data literacy is a non-negotiable skill in today's world. It's no longer just for Data Scientists. Every role and every department benefits from data fluency. Go beyond joining the conversation and jump right into the driver's seat, grow in wisdom and feel more confident working with data. No prior experience or skills required. This course was built with all experience levels in mind. Data Literacy Fundamentals was developed by Ben Jones, Data Literacy CEO and Professor of Data Visualization Theory at The University of Washington’s Foster School of Business. By the end you’ll have learned:
- The 1 Overall Goal of Data
- The 2 Systems of human thinking involved
- The 3 Areas of life where data matters
- The 4 Different data scale types
- The 5 Forms of data analysis
- The 6 Ways of displaying data
- The 7 Groups of data activities teams carry out
- The 8 Questions to ask your data upfront