12-Course Complete Package

Become a
Data Analyst.

Everything you need to go from complete beginner to job-ready data analyst. 12 courses covering the full technical and career stack — taught by someone who's hired over 1,000 analysts at Amazon, eBay, VMware, and more.

12Courses
25Years experience
See Plans
SQL
Tableau
Excel
Interviews
SQL Test Prep
Case Studies
🎓
Certificate of completion
for every course
⏱️
Lifetime access
pay once.
🗂️
300k customer dataset
enterprise-scale practice
Self-paced access
learn on your schedule
What members say

Real People.
Real Results.

★★★★★

"I took another TikTok creator's course and was lost for 2 months. I wish I would have found Analytics Mentor first. I'm actually understanding concepts clearly — finally."

Brandon — Analytics Mentor Member
★★★★★

"Yes, I've taken courses on Udemy and Coursera. The most beneficial one — the one that really made me feel like my money was worth it — was definitely Analytics Mentor. It has an interview course AND a resume course."

Discord Member
★★★★★

"I took the SQL course and went from barely knowing how to do more than SELECT * FROM table to writing complex queries and working closely with the data team at my job. I highly recommend."

Analytics Mentor Member
★★★★★

"The SQL explanation was better than how my professor explained it. I like most that not all the information was thrown at me at once. The examples were well-explained and the pace worked with my busy schedule."

Adrian G. — Analytics Mentor Member
★★★★★

"The REAL experts, like Brandon, shine through because they deeply understand their craft so well they can explain it to dummies like me — and I can actually pick it up."

Devon L. — Analytics Mentor Member
★★★★★

"This is the best SQL material I've come across. As a former educator who completed the Google Cert and a lot of free resources online, this is the best explanation, breakdown, and presentation I've seen."

Paxton T. — SQL for Beginners
★★★★★

"Hey thanks for your help a few weeks ago. I just got a job offer as an analyst."

Buzz A. — TikTok Live
★★★★★

"I have my Master's in Analytics and am still learning more and more during Brandon's course."

Clay P. — Analytics Mentor Member
★★★★★

"Brandon teaches Analytics better than they did post-grad. I believe he is the right mentor for me on this journey to becoming a Data Analyst."

Taribo B. — Intro to Analytics
★★★★★

"This course on resume best practices was amazing and just what I needed. I thought my resume was 'professional' until Brandon shared the do's and don'ts."

Sergio H. — Creating a Resume
★★★★★

"No other program I have found has given me this much of an understanding so fast."

KateLynn W. — Analytics Mentor Member
★★★★★

"Your course is way more detailed than any other platform. I feel like I found a goldmine."

Analytics Mentor Member
★★★★★

"Other TikTok creators hooked me — but your content, courses, and live streams are where the real knowledge is."

Analytics Mentor Member
★★★★★

"The course was very well crafted. I learned a lot and feel confident I will land a job with the portfolio I built. I'm now enrolling in a Python course to complement what I've learned."

Analytics Mentor Member
★★★★★

"I originally started through Google's course. I've done more hands-on work here in a few hours than I did there in weeks."

CharDonnai G. — Intro to Analytics
★★★★★

"With over 10 years of lab experience and 7 years in business management, this course helped me create a compelling resume to pivot into analytics. Brandon's real-world experience was key."

Jeffrey H. — Creating a Resume
Choose your access level

Get trained by
someone who does the hiring.

Start for $25/month or get lifetime access. Same content, your choice.

Lifetime Access

Full Access — One Time

$795 one-time payment

  • All 12 courses — beginner through advanced
  • Real-world case studies at enterprise scale
  • Certificate of completion per course
  • Discord community access
  • Take at your own pace — no expiration
Get Lifetime Access
Track 1
Foundations

Build your core skills

Everything you need to go from zero to working analyst. SQL, Excel, Tableau — the full technical stack employers actually use.

01
Beginner

Introduction to Analytics

What does an analyst actually do? How much do they make? What tools do they need? A live demo walkthrough of Excel, Tableau, SQL, and a real database.

Introduction to the field of data analytics
What does an analyst do day-to-day?
Analyst salary ranges and career paths
Tools and technology overview
Live demo: Excel and pivot tables
Live demo: Tableau dashboards
Live demo: SQL and databases
How to get started in the field
02
Beginner

Excel for Data Analysts

The most common functions, formulas, charts, and pivot tables used in real analyst work — not generic Excel tutorials.

Sheets, sorting, filtering, grouping
SUM, SUMIF, COUNT, COUNTIF
MIN, MAX, XLOOKUP, VLOOKUP
Quartiles, mean, median, mode
Bar, line, scatter, pie charts
Dual axis charts and Pareto charts
Pivot tables — build and navigate
Real-world analyst workflows
03
Beginner

SQL for Beginners

Core database skills — from installing PostgreSQL to writing real queries with joins, aggregations, subqueries, and CTEs.

Installing PostgreSQL
Datatypes, creating and dropping tables
Inserting, deleting, updating records
Inner, left, right, full outer joins
Self joins and cross joins
WHERE, ILIKE, IN, DISTINCT
GROUP BY, HAVING, aggregate functions
COALESCE, CONCAT, NULL handling
CASE statements and subqueries
UNION and UNION ALL
Primary and foreign keys
Importing CSV data
04
Beginner → Intermediate

Learn Tableau & Build a Portfolio

Build a real 4-dashboard portfolio project on a dataset of 300k customers and 1M+ transactions — exactly the complexity you'd see at Amazon or eBay.

Tableau vs Excel tradeoffs
Tableau terminology and overview
Installing Tableau
Building the Revenue Dashboard
Creating the Products Dashboard
Store Performance Dashboard
Sales Overview Dashboard
Debugging and fixing dashboard data
Dashboard documentation
Publishing to Tableau Public
Track 2
Level Up

Demonstrate More than Entry-Level

The skills that separate $65k analysts from $180k analysts. Advanced SQL, real-world case studies, and how to think at the enterprise level.

05
Intermediate → Advanced

SQL Best Practices

How to write SQL the way senior engineers and hiring managers actually want to see it. The difference between code that works and code that impresses.

Indentation and text wrapping
Aliases and one item per line
Capitalization conventions
Leading commas and comma confusion
Aggregate function placement
Aligned joins
Block and inline code comments
Common Table Expressions (CTEs)
Temp tables vs CTEs
SELECT * — when and why to avoid it
WHERE 1=1 pattern
Generic CTE naming pitfalls
06
Advanced

Advanced SQL

Window functions, performance tuning, stored procedures, and the commands that separate analysts who can query from analysts who architect.

Common Table Expressions (CTEs)
Aggregate window functions
ROW_NUMBER, DENSE_RANK
LEAD and LAG
PERCENT_RANK and quartiles
Median and percentiles
Date functions
SPLIT_PART, LENGTH, TRIM
Regular expressions
Views and indexes
Partitions and performance
Functions and stored procedures
Track 3
Land the Job

Get Hired

Most courses stop at the technical skills. These cover the other half — how to get the job and how to succeed once you have it.

07
All levels

Create a Resume That Gets Interviews

Written by someone who's hired over 1,000 analysts. What hiring managers actually look for, what gets resumes screened out, and live feedback on example resumes.

What employers are actually looking for
What a resume is — and isn't
What story you're telling
Categories and formatting that stands out
What to avoid — common rejection triggers
Aligning with your prospective employer
Additional cautions to avoid being screened out
Live analysis of example resumes
08
All levels

Interview Like a Pro

The stages of the interview, what interviewers are actually evaluating, and a live mock interview walkthrough with templates you can use immediately.

Stages of the interview process
What interviewers are evaluating
How to prepare effectively
Live mock interview question demo
Best practice tips to succeed
Interview templates — provided and walkthrough
09
All levels

Keys to Career Success

The course nobody else teaches. How to navigate office politics, communicate with stakeholders, handle requests, stay organized, and actually get promoted.

Day in the life of a data analyst
Handling stakeholder requests
How to solve problems and communicate results
Onboarding — goals, org chart, meeting teams
Getting organized — naming, saving, tracking
Assuming positive intent
How to disagree professionally
Avoiding weasel words and invalidating language
Escalations and pushing back
Documenting your work
Quality assurance checks
The promotion process — what it actually takes
1-on-1s and monthly career development meetings
Building trust and connections
Bonus
Real-World Case Studies

Watch how it's actually done.

Live coding sessions and real analyses from actual business problems. See how a senior analyst thinks through a problem from start to finish.

10
Intermediate

Live Coding: Should You Invest at All-Time Highs?

A stock brokerage claimed you should invest when the market is at all-time highs. We build the analysis live from scratch to find out if that's actually true.

Live coding demonstration
Proper SQL writing practices in action
How to approach a real analytics problem
Performing quality assurance checks
Understanding query performance
Delivering a real-world analysis
11
Intermediate

Real-World Analysis: Retail Sales Productivity

How do you properly measure retail sales productivity at a company like GameStop? A real problem, solved the way a $300k analyst would solve it.

How to think like a high-value analyst
Approaching analytics problems correctly
Quality assurance checks
Developing business acumen
Understanding stakeholder requests
Dealing with ambiguity
FAQ

Common questions

The Become a Data Analyst package includes 12 courses covering the complete path from beginner to job-ready — SQL, Excel, Tableau, advanced SQL, resume building, interview prep, SQL test prep, career navigation, and two real-world case studies. You pay once and keep lifetime access to everything in the package.
This package includes all 13 courses with lifetime access. The $25/month subscription gives you the same content on a monthly basis — cancel anytime. The lifetime option at $795 is a one-time payment with no recurring fees.
Yes. You'll build a real-world Tableau project with 4 dashboards and 27 worksheets on a custom dataset of 300k customers, 1M transactions, and 6.4M transaction line items. The same scale you'd see at a company like Amazon or eBay. Publish it to Tableau Public and make it part of your professional portfolio.
Anyone who wants to become a data analyst or business analyst. No prior experience required — just basic computer skills. It's also an ideal foundation before moving into data science or data engineering.
This is fully self-paced — start, stop, and return whenever you want. At roughly 10 hours per week, most students complete the core curriculum in about 6 weeks. Your pace will vary based on how much time you spend on exercises and practice.
Follow the order listed above — it's structured intentionally. One note: if you find Advanced SQL too challenging at first, watch it for context and awareness, then return to it after getting comfortable with SQL for Beginners. Don't skip it entirely.
Yes — you receive a certificate of completion for every course you finish. These are legitimate credentials from a recognized analytics educator that you can add directly to your resume.