Data Science, Analytics & BI
Every serious business decision today starts with data, and this domain teaches you to turn raw numbers into answers people trust. You will work with the platforms modern data teams actually use for analysis, dashboards and large-scale processing. Courses take you from cleaning messy spreadsheets through to building models that predict what happens next. By the end you can tell a clear, honest story from data instead of just staring at rows and columns.
- Snowflake
- Databricks
- Power BI
- Tableau
- Apache Spark
- dbt
Domain Scope
Where Data Analytics & BI fits in real work today
239+
Courses in this domain
#8
Of 20 by catalogue depth
8
Career tracks mapped
6
Core technologies covered
Depth against nearby domains
This domain and its closest neighbours out of 20, ranked by how many courses each catalogue carries. Longer bar means a deeper catalogue.
- Agile, Scrum & PMP®#7 · 289
- Data Analytics & BI#8 · 239
- ERP & SAP Systems#9 · 226
- Software & Full-Stack#10 · 205
Data Analytics & BI holds 6% of the 20-domain catalogue.
How hands-on each technology gets
An editorial reading of how much of the work is keyboard-on time rather than concepts. Not a course count.
- Snowflake70
- Databricks78
- Power BI60
- Tableau55
- Apache Spark85
- dbt65
Higher means more lab, build and troubleshooting work; lower means more concept, policy and design work.
Career Tracks
8 routes through this domain
Ordered foundational to specialised. Bar length is how much weight the track carries inside the domain — most learners complete one or two of these, not all eight.
- SQL & Data FundamentalsBeginner · 3–5 wks
- Python for Data AnalysisBeginner · 4–6 wks
- Business Intelligence & DashboardsIntermediate · 4–6 wks
- Cloud Data WarehousingIntermediate · 5–7 wks
- Data Engineering PipelinesIntermediate · 6–8 wks
- Statistics & ExperimentationIntermediate · 4–6 wks
- Machine Learning for AnalystsAdvanced · 6–8 wks
- Big Data & Distributed ProcessingAdvanced · 6–8 wks
The path most learners take
Three steps in sequence, then one specialisation. Picking a single branch is normal — finishing all four is not the expectation.
Step 1
SQL & Data Fundamentals
Step 2
Python for Data Analysis
Step 3
BI & Dashboard Design
Then one of
Before you start
What to have ready before the foundations track. Everything else is taught from scratch.
- Comfortable working in spreadsheets
- Willing to write SQL from the first week
- School-level statistics is enough to begin
- No programming background required
Technology Reference
What you actually learn, tool by tool
- Snowflake70Warehouse design, virtual warehouses, time travel, sharing and cost control
- Databricks78Lakehouse architecture, notebooks, Delta Lake and job orchestration
- Power BI60Star-schema modelling, DAX, row-level security and report performance
- Tableau55Visual analytics, calculated fields, level-of-detail expressions and stories
- Apache Spark85DataFrames, partitioning, joins at scale and tuning a real job
- dbt65Models, tests, documentation and version-controlled analytics engineering
The full technology list for this domain is Snowflake, Databricks, Power BI, Tableau, Apache Spark & dbt — the six above are the ones the catalogue goes deepest on.
Why This Domain, Right Now
Data Analytics & BI is worth the hours
Nearly every function now hires for data literacy, and the people who can both build the pipeline and explain the answer end up in the room where decisions are actually made.
239+
Courses in this domain
#8
Of 20 by catalogue depth
8
Career tracks mapped
6
Core technologies covered
Looking wider? Browse all 4,176+ courses across 20 domains.
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