This Data Analysis short course on SkillTiles breaks down everything you need to know into 10 structured milestones, each packed with bite-sized learning tiles you can swipe through in under 15 seconds each.
Whether you're a complete beginner or looking to refresh your knowledge, this online data analysis course uses AI-powered content to adapt to your learning pace. Each tile delivers a focused concept, example, or quiz — making it perfect for commutes, coffee breaks, or quick study sessions.
Covering 70 key topics across 10 milestones, this course takes you from foundations to practical application. Earn badges as you complete each milestone and track your progress on your learning dashboard.
Course Curriculum
1
Data Thinking
How to approach data problems
types of data (quantitative vs qualitative)data collection methodsmean/median/modestandard deviation simplifiedcorrelation vs causationdata visualization basicscommon biases in data
2
Pandas Basics
Analyze data with Python and Pandas
DataFrames and Seriesreading CSV filesselecting columns and rowsfiltering datagroupby operationsbasic plots with matplotlibhandling missing data
3
Analysis Tools
Python, pandas, and visualization
pandas DataFramesdata cleaning techniquesmatplotlib basicsseaborn for statisticspivot tables in pandasmerging and joining dataexporting results
4
Statistical Analysis
Hypothesis testing and correlation
descriptive statisticshypothesis testingp-values explainedcorrelation vs causationA/B testing basicsregression analysisconfidence intervals
5
Data Storytelling
Present insights that drive decisions
choosing the right chartnarrative structure for datadashboards that tell storiesaudience-first designannotations and calloutsexecutive summariescommon data viz mistakes
6
SQL for Analysts
Query databases for insights
analytical SQL patternswindow functions for analysisCTEs for readabilitydate/time analysiscohort analysis queriesfunnel analysis in SQLperformance optimization
7
Advanced Spreadsheets
Power user Excel techniques
advanced VLOOKUP/XLOOKUParray formulasPower Querypivot table masterydynamic chartsmacros introductiondashboard building
8
Python for Analysis
Automate analysis with Python
Jupyter notebookspandas advanced featuresdata wrangling techniquesregular expressions for dataAPI data collectionweb scraping basicsautomating reports
9
Business Intelligence
Tools and techniques for BI
Tableau basicsPower BI DAXLooker/Metabase overviewKPI dashboardsself-serve analyticsdata modeling for BIreal-time dashboards
10
Data Analyst Career
Build your analytics career
data analyst job rolesportfolio projectsinterview preparationcase study presentationsDomain knowledge importancecertifications overviewtransitioning into data