Data Analytics at ZTM

Data analysis isn’t a fad - it's a vital skill set for driving decisions in virtually every industry. From healthcare to finance, marketing to logistics, businesses rely on Data Analysts, Engineers, and Scientists to make sense of the overwhelming amount of information at their disposal. It’s one of the most in-demand tech careers.

Our courses, guides, and free resources will help you start and accelerate your career in the world of data.

New to Data Analytics? Get started here.

Become a Data Analyst

15 milestones 10 courses

Step-by-step roadmap where you'll learn to code and build a portfolio.

Curated curriculum of courses, workshops, challenges, projects, and action items.

Become a Data Analyst from scratch and actually get hired.

Go to Career Path
Earn on average per year:

$126,635

US salary data collected from Indeed, LinkedIn, and Web3.career 2024.

Not sure what Career Path is best for you?

Take our 2-minute quiz and we'll help you find the right path 👇

What about other data career paths? Data Scientist, Data Engineer, and other tech careers. We've got you covered. Check out all career paths here.

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Tutorials & Guides

Take your Data Analytics skills to the next level with these expert tutorials & guides.

How To Use ‘What-If’ Parameters In Power BI

Will a discount increase sales or lower them? Find out answers to these questions (and more), before you implement them by using what-if parameters in Power BI.

How To Use Power Query: A Beginners Guide

Do you want to transform your raw data into actionable insights? Learn the basics of how to use Power Query, in this step-by-step guide (with examples!).

ARIMA, SARIMA, and SARIMAX Explained

Interested in time-series forecasting but confused over ARIMA, SARIMA, and SARIMAX? Learn the difference between each and how to use them (with code examples)!

How to use DATEADD for Period-Over-Period Analysis in Excel

DATEADD is great for period-over-period analysis (right inside Pivot Tables). And it's easier to use than you think... here's how (with setup, code, examples)!

Power BI: Best Practices For New + Experienced Users

From my 10+ years of architecting and coding data solutions, these are my recommended best practices for your Dashboard, Data Model, and Workspace in Power BI.

How To Use Measures In Excel (With Examples!)

Why use measures? How about portable, reusable functions, that auto-update in each pivot table, when you update the single source? Learn how in this guide!

From our video library

Check out a few of our most popular videos below or head to the ZTM channel to see 100s more. New videos every week!

12 min watch

How to Become a Data Analyst in 2024

8 min watch

Data Engineers vs Data Analysts vs Data Scientists: What's Right For You?

8 min watch

5 Most In-Demand Tech Roles for 2024

7 min watch

The 5 Soft Skills You Need To Get Hired (Or Promoted)

16 min watch

How To Land Your First Tech Job (With Very Little Experience)

5 min watch

Top 5 Entry-Level Tech Roles For 2024

59 min watch

Deep Dive with Travis Cuzick | BI Analyst vs. Data Analyst, VBA Programming, UFO's, Aliens + More

Meet our Data Analytics Instructors

Our instructors aren't just experts with years of real-world experience. They have been in your shoes. They make learning fun. They make complex topics feel simple. They will motivate you. And they go above and beyond to help you succeed.

Travis Cuzick

Travis Cuzick

Data Solutions & Analytics Instructor
Diogo Resende

Diogo Resende

Data Analytics Instructor
Andrei Neagoie

Andrei Neagoie

Lead Instructor
Mo Binni

Mo Binni

SQL and Mobile Instructor

Frequently Asked Questions

Why become a Data Analyst?

Everyone has their own reason(s) as to why they want to become a Data Analyst. But here are a few of the best reasons:

  1. Lots of jobs available. As we're writing this, there are over 700,000 Business Data Analyst job postings available on ZipRecruiter (not to mention GlassDoor, Linkedin, Indeed or elsewhere). And it isn't going to slow down. The amount of data being generated is growing exponentially every single day, and the need for companies to help make sense of this data and take advantage of it is growing exponentially along with it. That's where BI Analysts come in, and they're getting more important every single day.
  2. High demand = High salary. The average annual salary for a Business Data Analyst in the United States is ~$125,000 across all levels (entry-level to senior). Plus data analytics knowledge and skills are well-known for being advantageous for C-suite executives, meaning your career has lots of upward mobility potential.
  3. No degree required. It's very possible to get hired as a Data Analyst without having any college degree. You also definitely do not need a Computer Science degree to be a Data Analyst.
  4. Work remotely. Many data-related jobs are remote. Work from the comfort of your own home, a coffee shop or even while travelling the world. Some roles even allow you to work on your own schedule.
  5. It's fun. And rewarding. You get to have a real-world impact. The work you're doing on a daily basis can have a huge impact on hundreds, thousands, or even millions of people.

Thousands of happy, successful students

Our Data courses and career paths and the ZTM community have helped 1,000s of Zero To Mastery students go from zero to getting hired to levelling up their skills and advancing their careers.

Rated 4.8/5.0 on TrustPilot by 100s of happy students

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