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Data Analysis Short Course

Data analysis is one of the fastest-growing career fields, with demand for skilled analysts across every industry. Learn to clean, explore, and visualise datasets to uncover patterns and make data-driven decisions. This course covers statistical thinking, Python with Pandas, and practical techniques you can apply immediately.. Master data analysis through bite-sized, swipeable learning tiles — designed for busy people who want to learn on the go.

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About This Data Analysis Course

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

What You'll Learn in This Data Analysis Course

types of data (quantitative vs qualitative)
data collection methods
mean/median/mode
standard deviation simplified
correlation vs causation
data visualization basics
common biases in data
DataFrames and Series
reading CSV files
selecting columns and rows
filtering data
groupby operations
basic plots with matplotlib
handling missing data

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Ready to master Data Analysis?

Start this data analysis short course today. Swipe through AI-powered tiles, earn badges, and build a daily learning habit — no experience needed.

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