Data Analyst (SQL + Excel + BI)
Real portfolio pieces built during the course, not a certificate for its own sake. Each one is work you can show.
- Cleaned dataset and cleaning logThe Fernway order data after deduplication, timezone conversion and category mapping, plus a log recording every issue found, how you found it, the rows affected and what you decided to do about it.
- Data dictionaryOne row per column of the cleaned dataset: type, business meaning, how often it is null, and the gotcha that would trip up the next person to use it.
- Documented SQL query setEight commented queries answering real business questions, each with a header stating the question, source, grain, definition, period and caveats. Covers profiling, deduplication, timezone handling, window functions and cohorts.
- Dashboard, and the spec behind itA one page specification, audience, the decision it supports, refresh, grain, metric definitions, filters, what is deliberately out of scope and one stated question per page, plus the dashboard built from it: a star shaped model, four measures, and one figure checked against SQL before anything else was drawn.
- One page insights memoHeadline, recommendation, quantified evidence, what it is worth with the assumption stated, caveats, and method. The artifact that proves you can commit to a conclusion.
- Agreed analysis briefThe vague request turned into something answerable and agreed before any SQL is written: the decision it feeds and when, the comparison hiding behind the word being used, the measure and its definition, what changed in the period, what is deliberately out of scope, and the three sentence brief sent back for a yes.
What you'll learn
Course content · 7 modules, 29 lessons
Sign up to unlock every lesson - the titles below show exactly what is inside.
Just enough theory to function on day one: what the job actually is, the dataset and dialect everything here runs on, where the data lives, what grain means, and how to check your own work before someone else does.
Requirements
- No prior experience in this field is required to start.
- A computer with a reliable internet connection.
- Comfortable using a web browser - no software to install.
Description
Every CertClue course follows the same seven-part shape: fundamentals, the role translated out of job-posting language, a real working day, the job's recurring rhythms, a multi-day simulation, the portfolio you build along the way, and a handoff into your next move. Here is what that looks like for junior data analyst.
Who this course is for
Anyone aiming to become a junior data analyst, including career changers with no background in it yet. This is the entry rung of a realistic ladder:
Cleans data, writes SQL queries, and builds reports that answer specific business questions.
Owns a full reporting area, builds dashboards, and works directly with stakeholders to define what to measure.
Sets analytics standards across teams, mentors junior analysts, and advises leadership on what the data says.
Where it leads
This course prepares you for the Microsoft PL-300 role or credential path. Named for preparation only - no partnership or endorsement is implied.
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