Our courses
Learn to clean, calculate, and present your data without the hassle.
Power BI #1
Automate your data preparation with Power Query
Who this is for
If you often copy and paste raw data from many files into one just to consolidate, clean, and transform it, this is for you.
Power BI #2
Calculate your
metrics with Data Models & DAX
Who this is for
If you regularly report key performance figures to different audiences with various granularity, this is for you.
Power BI #3
Visualise your data story with Power BI dashboards
Who this is for
If you spend too much time creating variations of the same charts, or want to present insights powerfully, this is for you.
Which course is suitable for me?
Think of business analytics as a process similar to cooking, with three distinct phases:
#1 Prepare the ingredients
First you need to clean and prepare your ingredients (that’s your data). Power Query gets those raw data updated, cleaned, and ready for calculation, quickly and easily.
Our Power BI #1 course focuses on Power Query, which lets you:
update and consolidate data automatically
clean it easily
automate your preparation workflow for reuse
Click here for a detailed pdf of what is covered.
#2 Transform them into a dish
Then comes the cooking (that’s creating calculations from your data). Power Pivot and DAX lets you combine, relate, and calculate data to get insights for different perspectives without unwieldy formulas.
Our Power BI #2 course focuses on Power Pivot and DAX, which lets you:
relate data sources with just drag-and-drop (no more VLOOKUP in a data model)
create reusable calculations
set up the foundations of an interactive dashboard
Click here for a detailed pdf of what is covered.
#3 Serve it up beautifully
Finally, make it look as good as it tastes (that’s your visualisation). Interactive Power BI charts and dashboards lets you and your audience easily explore and analyse the data for insights.
Our Power BI #3 course focuses on Power BI dashboards and visualisation, which lets you:
understand design principles that make effective visualisations
translate business questions into prototype dashboard sketches
create dynamic dashboards and visualisations
Click here for a detailed pdf of what is covered.
Your course is one that suits your goals:
| Phase | Data Preparation | Data Transformation | Presentation |
|---|---|---|---|
| Your role (typically) |
|
Data Analyst Financial Analyst Business Analyst |
Business Analyst BI Analyst Data Visualization Specialist |
| Your typical tasks |
|
Calculate year-over-year growth Segment customers based on behavior Analyse sales performance by region |
|
| Your deliverables |
|
Key metrics that are easily updated Dynamic data models Custom, repeatable workflows |
Engaging, easy-to-understand reports Dynamic dashboards Easy sharing of reports and dashboards |
| Relevant course |
Power BI #1 |
Power BI #2 |
Power BI #3 |
| Next training session | September 12 - 13, 2024 | August 5 - 6, 2024 | August 12 - 13, 2024 |
Your course is one that suits your goals:
| Power BI #1 | Power BI #2 | Power BI #3 | |
|---|---|---|---|
| Your Deliverables | |||
| Clean datasets | ✔ | ||
| Consistent data structures | ✔ | ||
| Automated workflows to prepare data | ✔ | ||
| Key calculated metrics that are easily updated | ✔ | ||
| Key calculated metrics easily reusable across categories | ✔ | ||
| Data models with related tables correctly linked up | ✔ | ||
| Engaging, easy-to-understand charts | ✔ | ||
| Interactive self-service dashboards | ✔ | ||
| Easy sharing of reports and dashboards | ✔ | ||
| Your Role | |||
| Analyst (Business/ Data/ Sales/ Finance/ Product/ Marketing/ Operations/ Procurement/ HR) | ✔ | ✔ | ✔ |
| Manager | ✔ | ✔ | ✔ |
| Accountant | ✔ | ✔ | |
| Finance Controller | ✔ | ✔ | |
| Executive / Associate | ✔ | ||
| Your Tasks | |||
| Combine data from multiple sources | ✔ | ||
| Address duplicates, missing values | ✔ | ||
| Transform data into standard formats | ✔ | ||
| Merge tables with VLOOKUP | ✔ | ✔ | |
| Calculate change over time (e.g. year-on-year, month-on-month) | ✔ | ||
| Analyse variances (e.g. actual vs. budget vs. target) | ✔ | ||
| Analyse performance by categories and granularities | ✔ | ||
| Slice and dice data to support live discussions | ✔ | ✔ | |
| Create monthly performance dashboards | ✔ | ||
| Visualise data in charts | ✔ | ||
| Build interactive dashboards | ✔ | ||
| Share dashboards and reports | ✔ | ||
Your course is one that suits your tasks and goals:
| Your deliverables | Power BI #1 | Power BI #2 | Power BI #3 |
|---|---|---|---|
| Clean datasets | ✔ | ✔ | |
| Consistent data formats | ✔ | ✔ | |
| Key growth metrics | ✔ | ✔ | |
| Customer segmentation | ✔ | ✔ | |
| Trends by region, year | ✔ | ✔ | |
| Performance dashboards | ✔ | ||
| Interactive summaries | ✔ |
| Your roles | Power BI #1 | Power BI #2 | Power BI #3 |
|---|---|---|---|
| Business analyst | ✔ | ✔ | ✔ |
| Data analyst | ✔ | ✔ | ✔ |
| Database administrator | ✔ | ||
| Financial analyst | ✔ | ✔ | |
| Marketing analyst | ✔ | ✔ | |
| BI analyst | ✔ | ✔ | |
| Data visualisation specialist | ✔ |
| Your tasks | Power BI #1 | Power BI #2 | Power BI #3 |
|---|---|---|---|
| Merge data sources | ✔ | ||
| Resolve data issues | ✔ | ||
| Standardise data formats | ✔ | ✔ | |
| Compute y-o-y growth | ✔ | ✔ | |
| Segment sales by region | ✔ | ✔ | |
| Segment customers by behaviour | ✔ | ✔ | |
| Create interactive summaries | ✔ | ||
| Share sales vs target reports | ✔ | ||
| Build monthly performance dashboards | ✔ |
FAQ
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Our courses are designed modularly, and can be taken independent of each other. It is not a prerequisite to take Power BI #1 prior to Power BI #2. Similarly, you need not have attended Power BI #1 and/or #2 prior to Power BI #3.
We have a good mix of learners who took the courses in sequential order, and those who took them based on their availability but eventually complete all 3 courses for the end-to-end picture.
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Our courses are designed for working analysts and executives who are familiar with pivot tables and VLOOKUP, and work with Excel at least every other day on data analytics tasks - be it cleaning or data modelling.
Our training will properly cover the fundamentals typically missed by self-taught learners who have not gone through any structured training (whether in a formal classroom, textbook, or video course). Since we are practitioner-focused, we also touch on common pitfalls, real-world business challenges, managing stakeholders and getting buy-in, as well as transitioning from Excel to Power BI.
You can also take a look at the detailed syllabus for each course: Power BI #1, Power BI #2, and Power BI #3.
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No, it is not a prerequisite to know Excel prior to learning Power BI, though we do expect that you are somewhat familiar with Excel and/or work with it on data-related tasks in the course of your work.
While Excel lets you explore data in a transparent and intuitive way, there is a limit to its usefulness, especially when it comes to large datasets. If you work with large spreadsheets or need to combine data from many different sources, and already do so with Pivot Table and other similar features, you may find Power BI really beneficial, as it lets you easily link your data sources and quickly get to metrics and insights based on those relationships.
Ultimately, they are similar but different tools within a toolbox that let you tackle various types of data problems.
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Each course lasts 2 days, from 9.30am to 5.30pm, with a one-hour lunch break.
In each training session, we focus on not just the know-how, but also the conceptual understanding of data problems, how they relate to the features of Power BI, as well as real-world challenges you may face when applying your learning to your work.
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We typically run public trainings once every quarter.
If you don't see a date that works for you, drop us a note and we'll put you on our waitlist so we can get in touch with you when we announce new dates!