![](data:image/svg+xml,<svg display="block" id="3251105727" role="presentation" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><g fill="transparent" height="24.00020047302246px" id="OD6Pu7fXK" width="24.00220022125244px"><path d="M 0 24 L 0 0 L 24 0 L 24 24 Z" fill="transparent" height="24px" id="YI9xgD01f" width="24px"/><path d="M 12 24 C 18.627 24 24 18.627 24 12 C 24 5.373 18.627 0 12 0 C 5.373 0 0 5.373 0 12 C 0 18.627 5.373 24 12 24 Z" fill="rgb(240, 240, 240)" height="23.99997793px" id="Ei_lvEOEa" transform="translate(0 0)" width="24px"/><path d="M 0 3.13 L 12.522 3.13 C 12.522 2.047 12.377 0.998 12.108 0 L 0 0 Z" fill="rgb(216, 0, 39)" height="3.1304499999999997px" id="ggelA6ilV" transform="translate(11.48 8.87)" width="12.5217px"/><path d="M 0 3.13 L 10.76 3.13 C 10.026 1.932 9.087 0.872 7.992 0 L 0 0 Z" fill="rgb(216, 0, 39)" height="3.13045px" id="HaDW_JbRp" transform="translate(11.48 2.609)" width="10.7604px"/><path d="M 7.47 2.609 C 10.294 2.609 12.89 1.633 14.94 0 L 0 0 C 2.05 1.633 4.646 2.609 7.47 2.609 Z" fill="rgb(216, 0, 39)" height="2.608699999999999px" id="QTOR19x9e" transform="translate(4.531 21.392)" width="14.93965px"/><path d="M 1.348 3.13 L 21.825 3.13 C 22.415 2.168 22.872 1.116 23.173 0 L 0 0 C 0.301 1.116 0.758 2.168 1.348 3.13 Z" fill="rgb(216, 0, 39)" height="3.1304px" id="GxAb8WAKs" transform="translate(0.414 15.13)" width="23.173237999999998px"/><path d="M 5.559 1.874 L 6.652 1.874 L 5.635 2.613 L 6.024 3.809 L 5.006 3.07 L 3.989 3.809 L 4.325 2.776 C 3.429 3.522 2.644 4.396 1.997 5.37 L 2.348 5.37 L 1.7 5.84 C 1.599 6.008 1.503 6.179 1.41 6.353 L 1.719 7.304 L 1.142 6.885 C 0.999 7.189 0.868 7.5 0.75 7.817 L 1.091 8.865 L 2.348 8.865 L 1.331 9.604 L 1.719 10.8 L 0.702 10.061 L 0.093 10.504 C 0.032 10.994 0 11.493 0 12 L 12 12 C 12 5.373 12 4.591 12 0 C 9.629 0 7.42 0.688 5.559 1.874 Z M 6.024 10.8 L 5.006 10.061 L 3.989 10.8 L 4.378 9.604 L 3.361 8.865 L 4.618 8.865 L 5.006 7.67 L 5.395 8.865 L 6.652 8.865 L 5.635 9.604 Z M 5.635 6.109 L 6.024 7.304 L 5.006 6.565 L 3.989 7.304 L 4.378 6.109 L 3.361 5.37 L 4.618 5.37 L 5.006 4.174 L 5.395 5.37 L 6.652 5.37 Z M 10.328 10.8 L 9.311 10.061 L 8.294 10.8 L 8.682 9.604 L 7.665 8.865 L 8.922 8.865 L 9.311 7.67 L 9.699 8.865 L 10.956 8.865 L 9.939 9.604 Z M 9.939 6.109 L 10.328 7.304 L 9.311 6.565 L 8.294 7.304 L 8.682 6.109 L 7.665 5.37 L 8.922 5.37 L 9.311 4.174 L 9.699 5.37 L 10.956 5.37 Z M 9.939 2.613 L 10.328 3.809 L 9.311 3.07 L 8.294 3.809 L 8.682 2.613 L 7.665 1.874 L 8.922 1.874 L 9.311 0.678 L 9.699 1.874 L 10.956 1.874 Z" fill="rgb(0, 82, 180)" height="11.99997793px" id="tNtmJCJkz" transform="translate(0 0)" width="12px"/></g><path d="M 0 11.5 C 0 5.149 5.149 0 11.5 0 C 17.851 0 23 5.149 23 11.5 C 23 17.851 17.851 23 11.5 23 C 5.149 23 0 17.851 0 11.5 Z" fill="transparent" height="23px" id="XdIodNYV9" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="1" stroke="rgb(250, 250, 250)" transform="translate(0.5 0.5)" width="23px"/></svg>)
For career switchers & non-technical professionals
In this Data Analytics course you'll go from spreadsheets to job-ready analyst: querying real databases with SQL and turning the answers into dashboards people actually use to decide.
11 weeks
1 live classes/week
Try 2 free classes
What will you learn in the Data Analytics course?
In this Data Analytics course you'll go from spreadsheets to job-ready analyst. You'll learn how data is really stored — relational models, normalization, star schemas — and you'll query it with SQL on PostgreSQL: filtering, aggregations, JOINs and UNION.
Then you'll take those answers into Power BI end to end: cleaning and shaping data in Power Query, modeling relationships, building advanced calculations in DAX and designing dashboards people actually use to decide. You'll close with AI as your co-pilot, the statistics every analyst needs, publishing with permissions and Row-Level Security, and a final project with its dashboard and presentation.
Who it’s for
Career switchers moving into data, one of the fastest-growing roles in tech.
Non-technical professionals (marketing, ops, finance) who already live in spreadsheets and want to turn data into business decisions.
Anyone starting from zero. No programming experience required — basic computer skills are enough.
Tools you’ll use
Excel
SQL
PostgreSQL
PowerBI
PowerQuery (M)
PowerQuery (M)
AI Copilots
When you finish
Query and combine data across tables with SQL on real databases — filters, aggregations, JOINs and UNION.
Build dashboards in Power BI end to end: clean and model your data in Power Query, then calculate with DAX, including YoY and YTD comparisons.
Publish and share reports in Power BI Service with workspaces, permissions, Row-Level Security and scheduled refreshes.
Use AI as a co-pilot to write and debug SQL and DAX, and to automate repetitive analysis work.
October 27
$595 launch price. Two free classes first.
FAQ
How do the two free classes work?
+
Is the AI teaching the course?
+
How much time does it take per week?
+
Do I need experience to join?
+
What if I can’t make a live class?
+
When do cohorts start, and when does enrollment close?
+
![](data:image/svg+xml,<svg display="block" id="329064441" role="presentation" viewBox="0 0 336 42" xmlns="http://www.w3.org/2000/svg"><path d="M 19.855 0 C 30.245 0 38.207 7.461 39.519 17.181 L 27.893 17.181 C 26.795 13.733 23.708 11.404 19.855 11.404 C 14.96 11.404 11.33 15.076 11.33 20.028 C 11.33 24.979 14.96 28.651 19.855 28.651 C 23.73 28.651 26.828 26.297 27.91 22.817 L 39.525 22.817 C 38.232 32.516 30.261 40 19.855 40 C 8.415 40 0 31.043 0 20.028 C 0 8.957 8.415 0 19.855 0 Z M 60.648 0 C 72.033 0 80.503 8.957 80.503 20.028 C 80.503 31.043 72.033 40 60.648 40 C 49.208 40 40.794 31.043 40.794 20.028 C 40.794 8.957 49.208 0 60.648 0 Z M 60.648 28.651 C 65.488 28.651 69.118 24.979 69.118 20.028 C 69.118 15.076 65.488 11.405 60.648 11.405 C 55.754 11.405 52.124 15.076 52.124 20.028 C 52.124 24.979 55.754 28.651 60.648 28.651 Z M 97.886 0.723 C 109.326 0.723 117.411 8.957 117.411 20.028 C 117.411 30.876 109.161 39.277 97.721 39.277 L 81.772 39.277 L 81.772 0.723 Z M 97.721 28.261 C 102.782 28.261 106.081 24.979 106.081 20.028 C 106.081 15.076 102.782 11.794 97.721 11.794 L 93.047 11.794 L 93.047 28.261 Z M 144.017 11.905 L 129.718 11.905 L 129.718 15.577 L 144.017 15.577 L 144.017 24.534 L 129.718 24.534 L 129.718 27.983 L 144.017 27.983 L 144.017 39.277 L 118.443 39.277 L 118.443 0.723 L 144.017 0.723 Z M 168.076 23.977 L 175.663 39.277 L 161.638 39.277 L 158.598 25.035 L 156.798 25.035 L 156.798 39.277 L 145.524 39.277 L 145.524 0.723 L 161.143 0.723 C 168.293 0.723 174.123 5.786 174.123 13.185 C 174.123 17.858 171.156 22.086 168.076 23.977 Z M 159.989 17.024 C 161.748 17.024 162.848 16.022 162.848 14.298 C 162.848 12.629 161.748 11.516 159.989 11.516 L 156.798 11.516 L 156.798 17.024 Z M 197.667 0.723 L 208.942 0.723 L 208.942 39.277 L 197.667 39.277 L 197.667 24.701 L 188.207 24.701 L 188.207 39.277 L 176.932 39.277 L 176.932 0.723 L 188.207 0.723 L 188.207 14.576 L 197.667 14.576 Z M 237.822 38.49 C 235.466 39.463 232.853 40 230.065 40 C 227.264 40 224.644 39.463 222.285 38.49 Z M 243.933 34.472 C 243.343 35.046 242.716 35.583 242.055 36.079 L 218.052 36.079 C 217.391 35.583 216.765 35.046 216.176 34.472 Z M 247.096 30.454 C 246.767 31.008 246.412 31.544 246.031 32.061 L 214.082 32.061 C 213.703 31.544 213.349 31.008 213.021 30.454 Z M 224.216 26.436 C 224.951 27.119 225.815 27.664 226.778 28.043 L 211.808 28.043 C 211.587 27.519 211.387 26.983 211.21 26.436 Z M 248.915 26.436 C 248.737 26.983 248.536 27.519 248.314 28.043 L 233.321 28.043 C 234.277 27.664 235.135 27.119 235.867 26.436 Z M 221.84 22.418 C 221.988 22.983 222.187 23.52 222.433 24.025 L 210.59 24.025 C 210.488 23.497 210.407 22.961 210.345 22.418 Z M 249.784 22.418 C 249.722 22.961 249.64 23.497 249.538 24.025 L 237.643 24.025 C 237.889 23.52 238.088 22.983 238.235 22.418 Z M 230.065 0 C 241.443 0 249.909 8.946 249.919 20.008 L 238.534 20.008 C 238.525 15.066 234.898 11.404 230.065 11.404 C 225.177 11.404 221.551 15.066 221.541 20.008 L 210.21 20.008 C 210.221 8.946 218.632 0 230.065 0 Z M 267.193 0.362 L 278.633 0.362 L 278.633 26.064 C 278.633 33.574 273.628 39.638 264.883 39.638 C 256.193 39.638 251.189 33.574 251.189 26.064 L 251.189 0.362 L 262.628 0.362 L 262.628 25.229 C 262.628 26.676 263.288 27.955 264.883 27.955 C 266.533 27.955 267.193 26.676 267.193 25.229 Z M 299.849 16.94 C 303.149 18.609 306.394 21.836 306.394 26.843 C 306.394 34.353 301.004 39.973 292.919 39.973 C 284.889 39.973 279.665 34.131 279.665 26.843 L 279.665 25.563 L 289.785 25.563 L 289.785 26.286 C 289.785 28.234 290.774 29.847 292.699 29.847 C 294.239 29.847 295.229 28.901 295.229 27.51 C 295.229 26.453 294.679 25.73 293.744 25.229 L 286.429 21.502 C 283.074 19.833 280.105 15.939 280.105 11.321 C 280.105 4.979 285.164 0.028 293.029 0.028 C 301.004 0.028 305.734 5.146 305.734 11.099 L 305.734 12.601 L 296.329 12.601 L 296.329 12.156 C 296.329 10.654 295.229 9.152 293.359 9.152 C 291.819 9.152 290.994 10.042 290.994 11.21 C 290.994 12.489 291.874 12.935 292.644 13.268 Z M 318.7 11.905 L 333 11.905 L 333 0.723 L 307.426 0.723 L 307.426 39.277 L 333 39.277 L 333 27.983 L 318.7 27.983 L 318.7 24.534 L 333 24.534 L 333 15.577 L 318.7 15.577 Z" fill="rgb(23, 23, 23)" height="40.00000265962436px" id="sLX_26zbq" transform="translate(1.593 1.059)" width="332.99999286102025px"/></svg>)