u/Dakota_from_Maven

▲ 15 r/mavenanalytics+2 crossposts

What Excel skills still matter now that Copilot is much better?

I've been struggling with this one for the last few months.

When Microsoft first rolled out Copilot for Excel, it was pretty underwhelming. Good at doing a few one-off tasks like creating new formula columns, but terrible at doing anything with even a moderate level of complexity.

Once they rolled out their new "Agent Mode" version of Copilot in Excel though, I have to admit that it's much better at getting you the outcomes you're looking for, even in tough scenarios.

You don't really need to tell Copilot which steps to take (which would require Excel expertise); you just need to tell it what you want, and it will likely figure it out.

So what are the fundamental skills that are still worth teaching / learning for anyone who uses Excel?

At the very least, it's those that allow you to double-check Copilot's work:

  • Navigating spreadsheets (CTRL shortcuts)
  • Filtering data
  • Using the calculations in the status bar
  • Creating basic pivot tables

But where does that leave everything else? Do you just need to learn "how to use Copilot in Excel" and some prompt engineering best practices?

As an experienced Excel user, it's hard for me to gauge how well I'd be able to use Copilot without my existing skillset, but I feel like it has to count for that I realize.

The way someone expressed it to me last week was, AI is now excellent at getting you 90% of the work in 10% of the time, but that means that you need to spend 90% of your time filling in the final 10% - that's what will make the work really stand out.

So what are the Excel skills we need for the final 10%? Is it the same ones we required before to complete 100% of the work?

Curious what people think.

reddit.com
u/Dakota_from_Maven — 2 days ago

Updates: Which tool does it best? + What to learn first for data engineering

Happy Monday!

We've had some awesome content releases from Maven lately, so just a quick spotlight:

Data Drill Showdown #10: Estimate the Estate

Four experts. Four tools. One winner… 🏆

In this video, Maven Analytics instructors Aaron Parry, Enrique Ruiz, John Pauler, and Alice Zhao battle it out with their favorite tools to earn the title of Data Drill Champion.

Excel. Power Query. SQL. Python. Who will come out on top?

For Data Drill #10: "Estimate the Estate", we're testing our experts' ability to handle missing property sale data and estimate accurate market values.

We have a dataset of property sales for one-family dwellings in Manhattan over the last 12 months, including each property's zip code, building class, square footage, and sale price.

The task at hand is to create a new market value column that uses the recorded sale price when available, or estimates it using the average price per square foot from properties within the same zip code and building class.

Each expert is on the clock as they solve the drill, and the best solution takes the crown!

See who wins: https://youtu.be/gwrKQ3UjAvc

Maven Blog: What should I learn first for data engineering?

Data engineering is one of the most in-demand skills in data right now...and it can also feel overwhelming to try to break into it.

Search "how to become a data engineer" and you'll find a different stack and a different opinion every time.

The good news is that you don't need to learn everything at once. You just need to know where to start, and in what order the rest of it actually makes sense.

We break down each step in detail in our latest guide: https://mavenanalytics.io/blog/data-engineering-skills-first

We have some exciting announcements coming this week that you don't want to miss; if you're not following us on LinkedIn, now is a good time -- you'll get the news first. :)

Happy learning!

u/Dakota_from_Maven — 5 days ago

Updates: New Data Drill + Copilot for Excel course!

Happy Monday! Two things worth knowing about this week:

First, we've launched a new Data Drill! This one is called "Booking Breakdown":

Your dataset contains ~40,000 reservations for a 200-room resort hotel in Portugal, including the booking date, check-in & check-out dates, and a cancellation flag.

Your task is to calculate the resort's occupancy rate for each month in the dataset.

If you haven't tried one before, these are free, hands-on practice problems you can solve with any tool: SQL, Excel, Python, Power BI, whatever you're working in.

They're a great way to keep skills sharp between projects, and we always share our instructors' solutions with their favorite tools next month!

Grab the dataset and give it a shot: https://mavenanalytics.io/data-drills/booking-breakdown

As always, feel free to share your Data Drill solutions here when you're ready, or tag us in a post on LinkedIn. :)

Second, we just launched a new course: Copilot in Excel.

Technology is moving faster than ever, and Enrique’s been hard at work behind the scenes.

Rebuilt from the ground up, we are thrilled to share that his new Microsoft Copilot for Excel course is LIVE!

This is a hands-on, practical course designed to help you leverage Copilot's most up-to-date features in Excel.

You'll learn to solve real-world problems across a variety of common scenarios and workflows, including cleaning data, auditing workbooks, creating spreadsheets, analyzing data, and building dashboards.

We'll also apply best practices for using Copilot effectively and responsibly…

  • Using "Allow Editing" and "Chat Only" Modes
  • Selecting Models (OpenAI vs. Anthropic)
  • Writing Effective Prompts
  • Undoing & Managing Changes
  • Validating Results

…and more!

If you’re ready to work smarter and faster than ever in Excel, this is the course for you.

Check it out here: https://mavenanalytics.io/course/microsoft-copilot-for-excel

We've got some major updates coming in the weeks ahead, so be sure to keep checking back!

u/Dakota_from_Maven — 12 days ago
▲ 14 r/learnSQL+2 crossposts

Most people learn SELECT, WHERE, GROUP BY, and call it done. Then they hit a problem that GROUP BY can't solve — and that's usually when window functions finally click.

Here's the short version of what they do:

They let you perform calculations across a set of rows related to the current row, without collapsing the data into groups. So you can calculate a running total, rank records, or compare each row to a previous one...

...all while keeping every row intact.

The functions you'll use most often:

ROW_NUMBER() — assigns a unique rank to each row within a partition. Great for deduplication.

RANK() / DENSE_RANK() — similar, but handles ties differently. Useful for leaderboards or top-N problems.

LAG() / LEAD() — pulls a value from the previous or next row. The fastest way to do period-over-period comparisons.

SUM() / AVG() OVER() — running totals and moving averages without subqueries.

The syntax that trips people up at first is the OVER() clause — that's where you define the window. PARTITION BY works like GROUP BY (but doesn't collapse rows), and ORDER BY sets the order within each partition.

Once this clicks, you'll start seeing problems differently. A lot of things that used to require subqueries or self-joins become one clean window function.

What's your go-to window function, and what problem does it solve for you?

reddit.com
u/Dakota_from_Maven — 12 days ago

Hey everyone! Now that we're already almost a week into May, we want to know:

What are you working on this month?

It could be anything, like:

  • Finishing a Maven course you started
  • Building or improving a portfolio project
  • Practicing SQL / Python / BI tools
  • Experimenting more with AI in your workflow
  • Prepping for interviews or job applications
  • Or just staying consistent with your learning

A lot of people in this space are feeling the pace of change right now. New tools, new expectations, more noise.

Our take: the goal isn’t to chase everything; it’s to stay consistent, build real skills, and learn how to use AI as an advantage.

If you’re up for it, drop your May goal(s) below.

Even better if you share where you’re starting from.

We’ll be in here with you, and cheering you on!

reddit.com
u/Dakota_from_Maven — 17 days ago

What did you accomplish this month that you're proud of? Did you...

Finish a project?

Learn a new tool?

Get an interview?

Build a dashboard you’re proud of?

Finally understand window functions?

No win is too small -- we want to celebrate with you!

reddit.com
u/Dakota_from_Maven — 24 days ago

In case you missed our update last week:

We are thrilled to offer our Spring Skillup event from Tuesday, April 21st (today!) through Thursday, April 30th, complete with free course access and live events!

We've got some great live learning sessions lined up with our experts to help you master new skills & level up your data + AI knowledge for FREE. Enrique Ruiz is live NOW sharing how you can use the new Copilot in your Excel projects, and if you register for the events you'll get the replay emailed to you directly!

You can learn more and sign up here: https://mavenanalytics.io/spring-skillup

Hope to see you at Spring Skillup!

u/Dakota_from_Maven — 1 month ago