statistics.com

🧠 Data is Everywhere—But Can You Read It?

DoorDash sold $21.3 billion in Q4 2024. Sounds impressive, right?

But here’s the real question: How much of that became profit?

Without data literacy, numbers like these are just... numbers.

With it, you can see the story behind the data.

Take this visualization below. 👇

In just a glance, you notice:

🔎 Only $117M in operating profit from $21.3B in sales
📉 The biggest cost drains (hello, $541M on Sales & Marketing)
💡 How revenue trickles down through expenses

This is data literacy in action—the skill of not just looking at data but understanding what it means.

In today’s data-driven world, that’s no longer optional.

👉 Want to strengthen your data literacy skills? Our next Data Literacy Cohort starts March 10th!

Spots are limited—let’s make sure you can read between the numbers. 🔢

🔗 https://store.statistics.com/courses/introduction-to-data-literacy-031025

We've been a bit quiet on Facebook lately... but for good reason!

For the past few weeks, we've been working behind the scenes on something groundbreaking, and now it's finally here!

🌟 We’re excited to announce the launch of our brand-new Generative AI Foundations course! 🚀

Generative AI has grown so rapidly in the past year and many people are wondering, “what’s it all about?”. According to 451 Research's Generative AI Market Monitor & Forecast, they are projecting a compound annual growth rate of 59% through 2028 and observe that the generative AI market appears to be growing at an explosive rate.

You WANT to be a part of this growth! 📈

Whether you're just starting out or ready to elevate your expertise, this is your chance to dive into the world of Generative AI and gain hands-on experience with the tools and techniques driving the future of innovation.

💡 Ready to explore the future? Don't miss the chance to grow your AI journey with us!

✨Just for our Facebook community, use the code 'GENAI FB' for a course discount.✨

(see the link to register in comments)

Did it make a difference?

Sometimes when we embark on something new, we’re not sure what the results may be.

Sure, we have hopes and wishes for the outcome, but we really don’t know until we finish what we started.

Education in particular can be challenging when deciding on and realizing positive, tangible outcomes.

If you're learning something new, here are a few ways to get a clearer picture of your progress:

1. Remember where you started: What's one thing you know now that you didn't know when you first started? Anything you've learned (big or small) is valuable. 💡

2. Note small wins along the way: Celebrate and document your success. 🎉

3. Get a different perspective: Ask a friend or colleague who's witnessed your journey give feedback on how they've seen you grow. 😎

What are some other ways YOU measure growth? 📈

"Did you know that statistics is the foundation upon which the entire field of data science is built? 🌟

Whether you’re analyzing trends, making predictions, or simply trying to understand your data better, statistical methods are your best friend. 📊

From hypothesis testing to regression analysis, these tools empower you to make informed, data-driven decisions that can drive your business forward. 🚀

At Statistics.com, we offer a range of courses designed to help you master these essential skills. Our expert instructors and interactive learning platform ensure you get hands-on experience with real-world data.

Ready to transform your data into actionable insights?

Join us and start your journey towards becoming a data-driven decision maker today!

We are so excited to welcome Matt Bezdek to the Statistics.com faculty!

Matt Bezdek is a Senior Data Scientist at Elder Research. He has over 10 years of experience in performing advanced statistical analyses. At Elder Research he helps commercial and nonprofit clients with model validation, software development, interactive data visualization, data literacy education, and building data analytic strategies.

He holds a PhD in Cognitive Psychology from Stony Brook University and has conducted research at the Georgia Institute of Technology and Washington University in St. Louis.

Matt will teach our Regression and Python for Analytics courses.

What do YOU know about the topics of Regression and Python? 🤔

"Generative AI is revolutionizing education, but how much do you really know about it? Whether you see it as a game-changer 😊 or a challenge 😞, understanding it is key!

Take our quick quiz to find out where you stand! Click here: https://www.statistics.com/generative-ai-quiz/

*The first 10 quizzers get a prize!*

Are you team 'good'😊or team 'bad'😞? Share your results in the comments!

🌟 But they didn’t HAVE to do it! 🌟

Recently, one of our Statistics.com team members completed training with Credly by Pearson and earned a digital badge! 🥇
This was not a job requirement, they just did it. Why would they do that? 🤔

As someone who believes in the power of continuous learning, they found their recent experience with Credly both inspiring and enlightening. The training not only introduced them to the many possibilities of the platform but also opened their eyes to new ways we can celebrate students and their achievements.

Throughout the training, they were impressed by how Credly transforms traditional recognition into a digital celebration of skills. By empowering learners to share their achievements online, they can showcase their capabilities and progress to a broader audience.

It's a win-win situation for learners and employers! 🎉

Their journey can remind us of the value of staying curious and seeking out opportunities to grow. Every new skill learned is a step forward in our personal and professional development. It's important to not only celebrate milestones but also to keep pushing our boundaries.

If you're interested in discovering the potential of digital badges and celebrating learning, let's connect and explore how we can make a positive impact together! 🚀

https://www.linkedin.com/feed/update/urn:li:activity:6968558975931842560?utm_source=share&utm_medium=member_desktop

Responsible Data Science Quiz Step 1 of 4 25% 1. You are working on a loan approval model for a large bank and one of the available features for the model is race. Should your model

How do you know if you’re exposing your to improper bias? Black-box and interpretable methods have the capacity to create bias, unfairness, and unexpected disparities.

https://www.statistics.com/responsible-data-science-quiz/

Responsible Data Science Quiz Step 1 of 4 25% 1. You are working on a loan approval model for a large bank and one of the available features for the model is race. Should your model