Most courses teach Excel, SQL, Tableau, Power BI and Python as six disconnected subjects. PivotPoint Academy teaches them as one skill — you answer the exact same real-world business question in every tool, so you finally see how they connect.
This is the exact same 24-row dataset you'll rebuild in Excel, query in SQL, and automate in Python inside the course.
Most learners quit a data course because every module feels like starting over. PivotPoint fixes that with one throughline.
The same 24-row jobs table follows you from Excel through Python, so every new tool reinforces what you already know instead of starting from zero.
Every module ships with a real interactive dashboard you can click, filter and toggle — not a static screenshot of someone else's chart.
Each module ends in a capstone deliverable — a report, a dashboard, a script — exactly the shape of work a manager or client actually asks for.
Every module: plain-English concepts, worked examples, hands-on exercises, a capstone project, and an auto-graded recap quiz.
Formulas, IF/COUNTIF/SUMIF, VLOOKUP, and PivotTables — the foundation every other tool builds on.
SELECT, WHERE, GROUP BY, JOIN, and the golden rule every analyst learns the hard way once.
QUERY(), IMPORTRANGE, and building a dashboard a client can see live, without breaking your formulas.
Dimensions vs Measures, calculated fields, and dashboards where clicking one chart filters another.
Power Query cleaning, table relationships, and DAX measures — the enterprise standard tool.
pandas, matplotlib, and writing one function that automates a report you'd otherwise rebuild by hand every month.
Take one dataset and produce the same summary as an Excel PivotTable, a SQL query set, a Tableau/Power BI dashboard, and a Python script — then decide which you'd actually hand to a client and which you'd automate to run monthly. That judgement call is the whole job.
Excel and SQL — the two skills every analyst job posting still asks for first.
Google Sheets, Tableau and Power BI — turning tables into dashboards people actually read.
Python and pandas — so the monthly report you used to rebuild by hand runs itself.
Most data-analyst platforms charge monthly forever. PivotPoint is a single one-time payment.
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| Platform | Model | Typical cost | Tools covered |
|---|---|---|---|
| PivotPoint Academy | One-time payment | $149 once | Excel, SQL, Sheets, Tableau, Power BI, Python |
| Google Data Analytics Cert. | Monthly subscription | ~$294 for a 6-month median completion | Sheets, SQL, Tableau |
| Maven Analytics | Monthly / annual / lifetime | $399/yr or $1,699 lifetime | Excel, Power BI, SQL, Tableau, Python |
| DataCamp Premium | Monthly / annual | ~$336/yr | Python, SQL, R, and more (broad library) |
Competitor figures are publicly published list prices as of 2026, shown for context — not a claim about any platform's current offer. Confirm current pricing on each provider's own site before comparing.
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Power Query, data modeling, DAX from basics to CALCULATE, and publishing to the Power BI Service — six modules, one tool.
pandas, cleaning, groupby, NumPy & statistics, visualization, and automation — six modules, one language.
No. Module 1 starts at "what is a cell reference" and builds from there. If you can open a spreadsheet, you can start today.
Because the hardest part of learning six tools is realizing they're mostly the same three or four ideas — filter, group, join, visualize — wearing different syntax. Reusing one dataset makes that obvious instead of hidden.
Designed around three months at a relaxed pace of a few hours a week, but it's fully self-paced — go faster or slower.
Mostly no — Google Sheets, Tableau Public, Power BI Service, and Google Colab (for Python) all run free in a browser. You'll want spreadsheet software (Excel or a free equivalent) for Module 1.
No — it's a skills-and-portfolio course. What you walk away with is seven real capstone projects you can show, not a line on a certificate.
Online data courses. Not affiliated with Pivot Point Academy (cosmetology) in Illinois.