Data Analytics with Power BI
This course prepares you for the Microsoft PL-300, Google Data Analytics Certificate credentials. University partner: Partner University (sample).
Statistics, SQL and data modelling from university faculty; Power BI, Python and a client-style project from working analysts.
Who this course is for
Graduates from any stream who want an analyst role, and working professionals in finance, operations, HR or sales who want to own their own reports.
What you will be able to do
Graduates are ready for junior data analyst, MIS analyst and reporting analyst roles, and for the PL-300 exam.
Jobs this course leads to
Roles from partner employers that name this course's certification.
Syllabus, by who teaches it
Progress is tracked separately for theory and practical, and both are assessed.
- A1Statistics for analysts
Descriptive statistics, distributions, sampling and confidence, with weekly quizzes.
- A2Relational data and SQL
Tables, keys, joins, aggregation and window functions, with graded exercises.
- A3Data modelling
Star schemas, grain, measures and dimensions, and data quality.
- A4Communicating with data
Choosing the right chart, visual honesty and writing a one-page analysis.
- B1Excel and SQL on company data
Cleaning, lookups, pivots and queries on an anonymised industry dataset.
- B2Power BI Desktop
Power Query, DAX measures, relationships and report design, demonstrated live by a working analyst.
- B3Python for analysts
pandas and the automation of a weekly report, reviewed by your industry mentor.
- B4PL-300 exam practice
Mock exams on the Microsoft Power BI Data Analyst syllabus.
- B5Industry project
A dashboard built to a brief written by the partner company and presented to its analysts.
Certifications this course prepares you for
Ready for Data Analytics with Power BI?
Ask about the next batch, fees and whether your employer can sponsor the seat.