Decision Science for Analysts

4.7

(3 ratings)

·

3 Weeks

·

Cohort-based Course

Take better decisions backed by data. Using a simple 5-step framework.

Course overview

Decisions based on gut feeling are a thing of the past.

🧑‍🏫 Learn a straightforward 5-step decision science process designed in the real world.


🚀 Combine this framework, SQL and your analysis skills to effectively answer questions and delight stakeholders.


💡 Engage with peers from different backgrounds in our live workshops, access templates and resources and bring your own data to get valuable feedback.

Is this course for you?

01

You're an analyst who wants to become great at answering questions. You have a good understanding of SQL or are actively learning it.

02

Stakeholders send you questions regularly and you're constantly trying to challenge them.

03

You're sick of spending hours working on simple reports and want to do deep analytical work instead.

What you'll learn

Analysts don't usually help take decisions, but they should.

Not only will you learn about Prime Route, my 5-step Decision Science framework developed within the last several years, but also the background behind good decisions and how to help your stakeholders take better decisions.

Figure out the important stuff.

You'll learn all about enabling stakeholders (and you!) to design better hypotheses. After all, a decision starts with a belief statement we want to test!

Data insights are more impactful when reached collaboratively.

Slipping off into the depths of darkness for your analysis doesn't yield good results. With a proven lean process that involves stakeholders during the analysis stages, you'll be answering questions in hours, not days.

Course syllabus

8 live sessions • 3 modules • 12 lessons • 1 project
Expand all modules
  • Week 1

    Oct 23—Oct 29

    Events

    • Oct

      24

      Module 1: Live Learn (Tuesday)

      Tue, Oct 24, 4:00 PM - 6:00 PM UTC

    • Oct

      27

      Module 1: Live Learn (Friday)

      Fri, Oct 27, 4:00 PM - 6:00 PM UTC

    Modules

    • Module 1: Mise-en-place 🔪

      Before we get cooking with data, we need to get things set up - what is required to approach our thinking and decision science? We'll tie theory and practice together while introducing the 5-step decision science framework "Prime Route".


      Outcome: you have a firm understanding of decision science and what the ideal process looks like.

  • Week 2

    Oct 30—Nov 5

    Events

    • Oct

      30

      Weekly Q&A (optional)

      Mon, Oct 30, 7:00 PM - 7:45 PM UTC

    • Oct

      31

      Module 2: Live Learn (Tuesday)

      Tue, Oct 31, 5:00 PM - 7:00 PM UTC

    • Nov

      2

      Module 2: Live Learn (Thursday)

      Thu, Nov 2, 5:00 PM - 7:00 PM UTC

    Modules

    • Module 2: Stirring up some insights ♨️

      Armed with the tools and knowledge, we can tackle our data challenges head-on. Using examples from both my experience as well as the class, we will work through cases, using powerful SQL and visualisations, to show how the Prime Route framework can be applied in detail.


      Outcome: using the process in practice will be comfortable for you.

  • Week 3

    Nov 6—Nov 10

    Events

    • Nov

      6

      Weekly Q&A (optional)

      Mon, Nov 6, 7:00 PM - 7:45 PM UTC

    • Nov

      7

      Module 3: Live Learn (Tuesday)

      Tue, Nov 7, 5:00 PM - 7:00 PM UTC

    • Nov

      9

      Module 3: Demo Day

      Thu, Nov 9, 5:00 PM - 8:00 PM UTC

    Modules

    • Module 3: Delivery 🍱

      Bring your own data! We focus on tying everything together and how it feels to interact with stakeholders. Through mock interactions during sessions as well as asynchronous group work, you'll have the chance to focus on a single research question.


      Outcome: as you can bring you own data, you become deeply familiar with the framework.

4.7

(3 ratings)

What students are saying

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Invest 6 hours a week for 3 weeks (like a weekly game night with friends)


A combination of live sessions, self-learning and Q&A calls make this course as effective as possible for everyone.

A little bit about me

Matthew Brandt (Matty)

Matthew Brandt (Matty)

I make data taste better.

What does that mean?

It means that like raw food, data requires careful planning and execution to deliver an exceptional dish (outcome). I guess that makes me a chef? 🧑‍🍳


In all seriousness: I enable others to use data to make the best decisions by flexing my broad expertise in data analytics. Since over 10 years I've helped design tracking concepts, create databases, build data products and lead endless analysis meetings about what colour the sign up button should be. 😜


My dayjob for a Swiss corporate startup in digital health occupies me full-time. I also teach at the University of Applied Sciences in Business Administration Zurich (HWZ) and University of St. Gallen (HSG), and I'm a prolific content creator livestreaming on Twitch and producing YouTube videos.


Seeing others succeed is what fuels me to keep going. I'm excited to combine my unique experience in data analytics and live-learning for my first-ever cohort and sharing it with you!

What others say about me

        Matty is an absolutely world-class data educator. Whether you're looking to dive deep into technical SQL concepts or expand your understanding of soft skills & frameworks, he approaches every lesson conversationally. If you want to learn from an educator who will inspire you and talk to you like a friend the whole way, Matty is your person.
Allie Beazell

Allie Beazell

Marketing Chief of Staff @ Census
        If you want to learn about how to do data analysis, I can think of few better people than Matty. Not only is he a talented technical analyst, but he is also a gifted communicator, which is so crucial in this field - not only can he tell you *what* happened, but why it happened, and why it matters.
Randall Helms

Randall Helms

Head of Data, Analytics & AI @ Snowplow
        Matty is one of the few people who manages to bridge the gap between knowing and doing in a both practical and educational way. I have never attended anything from his hand, where I didn't leave a little smarter. It's kind of strange but for a decision-science cohort, joining is kind of a no-brainer.
Steen Rasmussen

Steen Rasmussen

Co-founder, Director of Data Innovation @ IIH Nordic
        Matty is a thoughtful, empathetic, and engaging teacher. He is uniquely capable of explaining complex data and analytics concepts plainly and effectively to any audience. Matty's joy for data and teaching comes through in every stream and class making him one of the few teachers that are both effective and fun.
Taylor Brownlow

Taylor Brownlow

Product & Data @ Count
        I've come across Matty through his product analytics course at CXL. He played a pivotal role into my career transition in data and is a great instructor that gets both business and data, which is rare. From him you will learn material and methods to stay on top of your game in the data & tech space. Cannot recommend learning from him enough!
Juliana Jackson

Juliana Jackson

Sr. Data & Optimization Strategist @ Media.Monks
        In Matthew's hands, data transforms into wisdom. Let him guide you on a journey of discovery, where every analysis unveils new understanding. In his Twitch streams, he shows in a pleasantly calm and efficient way how to recognise patterns in any type of data and derive meaningful insights from it.
Richard Stinauer

Richard Stinauer

Managing Director @ adtraffic - a media plan company

Accessible Pricing

Accessible Pricing

Everyone should be able to afford this course!

Where you live shouldn't dictate what type of information you have access to. For this course, I have used a tool to calculate a discount based on how much things cost relative to income, in a framework called Purchasing Power Parity (PPP).


PPP pricing is available for most countries and is based on the credit card booking origin. Discounts range between 20-70%.


As Maven currently doesn't have the technical ability to apply this automatically, please contact me before booking or afterwards to ensure you profit from this discount!

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Your 3-week plan to taking decisions backed by data
Your 3-week plan to taking decisions backed by data

2 live sessions/week + optional Q&A slot
  • 2 x Weekly Sessions (Tue / Thu)

    18:00 - 20:00 CET

    We will hold our 2h live-learn sessions on Tuesdays and Thursdays (with one exception). If you're not able to attend, recordings will be available immediately afterwards in the Student Hub on Maven.

  • Course Project

    2 hrs/week

    In addition to learning live, you should complete a small project, either on your own or with others from the class - as you prefer! This is completely optional, but it's strongly encouraged to apply the learnings to your own situation.

  • Weekly Q&A Slot (optional)

    45 minutes

    I will be offering a 45-minute slot where anyone with questions about the course or specific challenges can drop in - no need to stay for the full slot!

  • Demo Day 🎉

    18:00 - 21:00 CET

    On the final Thursday (November 9th) of our 3-week cohort, we'll have a special 3-hour session to showcase projects, answer questions and celebrate you completing the course!

Learning is better when it's collaborative

This cohort is only possible thanks to the support of Count.co who made their tool available to us!
This cohort is only possible thanks to the support of Count.co who made their tool available to us!

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What tools will the course use?
What level is this course for?
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Are there discounts available?
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