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Data

Data Analytics Learning Resources [2026]

Most analysis fails at the start or the end. Either the question was unclear, or the answer was never explained in a way the decision-maker could act on. The skill is to ask a precise question, check the data before trusting it, and present the result so the next step is obvious.

  • ✓Analysis is a core skill in marketing, finance, operations, product and HR, and it is often the reason a team can explain its own results.
  • ✓The core tools, spreadsheets and SQL, carry across roles and tend to build on each other, so early effort keeps paying off.
  • ✓Presentation and data judgement matter as much as technique. Knowing when a number is misleading is the skill most managers look for.

Often appears alongside

SQLExcelTableauPower BIPythonData Visualisation

Data Analytics learning path

1

Ask and clean

3–4 weeks

Beginner
Turning a business question into an analysisGathering and checking dataCleaning and preparing dataSpreadsheet basics for analysis
2

Query, analyse and visualise

6–8 weeks

Intermediate
SQL for joins, grouping and filteringBasic statistics and what they showChoosing and building chartsDashboards for a specific audience
3

Explain and influence

6–8 weeks

Advanced
Data storytelling for decisionsData quality and governanceExperiment design and interpretationPresenting uncertainty honestly

Best Data Analytics courses [2026]

Data Analytics Essentials

Free

Cisco Networking Academy

BeginnerAbout 30 hours

Covers data gathering, cleaning, Excel transformation, statistics, SQL basics, Tableau and ethics in data. Free and self-paced.

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Best Data Analytics books [2026]

View all 8

Practical SQL

Paid

Anthony DeBarros

Intermediate

A beginner's guide to SQL for analysis, with worked examples on real data.

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SQL Cookbook

Paid

Anthony Molinaro, Robert de Graaf

Intermediate

Query solutions and techniques for common analysis problems, for when you know SQL and need the pattern.

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Naked Statistics

Paid

Charles Wheelan

Intermediate

Statistics explained without fear, useful for reading results and spotting misleading numbers.

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View full list — 8 Data Analytics books
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