I help people transition into Data Science & Analytics, quickly & easily...

> Data Science Infinity: https://www.data-science-infinity.com/

> 60-minute Data Science Career Training Session: https://training.data-science-infinity.com/register

> AWS For Data Science & Analytics: https://bit.ly/aws-data-science-analytics

> 2 hour Python, Data Science & ML Intro Course >> https://youtu.be/OSbUA5Q9Cec

Feedback from students:

"I landed my role at Amazon totally thanks to DSI" - Andrea (DSI Student)
"The best program I've been a part of, hands down" - Christian (DSI Student)
"I've learned more than on any other course" - Erick (DSI Student)
"One of the best purchases towards learning I've ever made!" - Scott (DSI Student)

About Me: 

15 years in Data Science at companies including Amazon & Sony PlayStation where I developed and prototyped Machine Learning based features for the PlayStation 5 - several of which have been patented by Sony. 

I've interviewed & screened hundreds of Data Science candidates, and through this process have learned exactly what can differentiate a standout & successful candidate from the rest. 

I authored "The Essential A.I. & Data Science Handbook for Recruitment"​ 

Throughout my career, I've had the opportunity to mentor fellow Data Scientists; from their entry into the field, to developing their technical & non-technical skill-sets, as well as providing guidance around preparing for, and being successful with promotions and interviews.​

Please do reach out for support & advice - I'll be happy to help!

Andrew Jones

Aspiring Data Scientists. Yes, you do need to learn some math.

There is no getting around that.

It underpins a lot of what we do in the field.

But, don't be scared off by this.

You DO NOT need to spend a year reading dusty textbooks before you're allowed to progress, build things, or land your first role.

Don't let anyone tell you otherwise.

Start with statistical concepts such as distributions, hypothesis tests, the central limit theorem, confidence intervals, and probability. 

They are the foundations.

From there, start introducing more advanced mathematical concepts, such as Linear Algebra

But, do this as you start applying things like ML algorithms.

It's so much more enjoyable learning while you're testing and modifying things and seeing what changes and why.

You've got this!

💼 Most Data Scientists don’t fail interviews because they lack skills… they fail because they miss this.

After years of interviewing hundreds of Data Science candidates,  I’ve noticed the same patterns over and over again.

Here are the 5 biggest mistakes that stop talented people from landing roles (and how to fix them 👇).

If you’re preparing for your next Data Science or Analytics interview, this one’s for you!

Swipe through and make sure you’re not making these!

🚀 Want to fast-track your career and land your first (or next) data role in 4–6 months?

Join my free Data Science Career Webinar where I’ll show you exactly what skills, projects, and strategy hiring managers are looking for:
 👉 https://lnkd.in/ekp-jmD2

5 most common mistakes

I help ANY professional or team have more impact using data. Analytics demystified.

👉 WHAT I DO: I help teams and organizations develop and apply real-world machine learning forecasting skills using Python and Python in Excel.

⚙️ WHO I HELP: Every type of organization will benefit from better forecasts, including (but not limited to):

🏛️ Financial Services
🏥 Healthcare
👩‍🎓 Education
📺 Marketing
📊 Finance
💻 IT 

💰 WHY IT WORKS: In modern organizations, many external factors impact forecasts. These factors include holidays, promotions, capital investments, weather, and global economics.

Machine learning forecasting models can incorporate these external factors to produce more powerful forecasts than can be achieved via commonly used techniques (e.g., Excel's FORECAST.ETS() function).

✅ HOW I DO IT: I work under two operating models depending on your business needs:

"Done with You" - This is a coaching model where I train your team/organization and then help them successfully apply what they've learned.

"Done For You" - This is a consulting model where I do the work on your behalf.

Regardless of the mode, I focus on the nature of your business problem first and foremost. 

Before I write any code or train your team, I partner with you to develop an understanding of your business. With this baseline knowledge, I then bring my 14+ years of analytics and data science experience to the engagement. 

I can use Python in Excel or Jupyter Notebooks - whichever works best for your situation.

📞 READY TO TALK?
Schedule a free discovery call: https://bit.ly/FreeForecastingDiscoveryCall

David Langer

Woohoo! My book has received its first Amazon review. I had one goal for writing Python in Excel Step-by-Step. This goal might seem crazy to some:

To teach ANY professional the Python foundation they need for analytics and the AI-powered future of Microsoft Excel.

I packed the book with many examples of how everyday Excel knowledge translates to Python. The goal was to make learning Python easy and fun for Excel users.

**BUT**

As an author, you never know if your efforts were on target until the book gets into the hands of real people.

As you might imagine, getting this review early in the book's release gives me hope that the book will help many professionals learn the Python foundation they need to:

Unleash the power of their data with analytics.
Partner deeply with the Copilot in Excel AI.

2026 is off to a tremendous start.

Stay healthy and happy data sleuthing!

#Excel #PythonInExcel #MicrosoftExcel

Author. Analytics educator. Microsoft Excel MVP. I help professionals and teams build better forecasts using machine learning with Python and Python in Excel.

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