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SkillsData Analysis
Data

Verify your Data Analysis skills.

From raw data to decisions – with peer-verified proof.

1,432

Learners

verifying this skill

2,897

Sessions

completed to date

64

Avg SCI

across all levels

4

Tiers

claimed → peer-endorsed

01

In a peer session, work through a dataset end to end: cleani

In a peer session, work through a dataset end to end: cleaning, exploring, visualizing, and drawing conclusions.

02

Your partner evaluates your methodology, tool proficiency, s

Your partner evaluates your methodology, tool proficiency, statistical reasoning, and ability to communicate findings clearly.

03

Evidence is rated and committed to your passport, building y

Evidence is rated and committed to your passport, building your Data Analysis SCI.

Data Analysis  facts worth knowing.

Florence Nightingale is considered one of the first data analysts – she created the polar area diagram (now called a rose diagram) in 1858 to visualize mortality data and change British military policy.

Did you know?

pandas, the Python data manipulation library, was created by Wes McKinney at AQR Capital Management in 2008 because existing tools were inadequate for financial data analysis.

Did you know?

The term 'data scientist' was popularized in a 2012 Harvard Business Review article that called it 'the sexiest job of the 21st century' – but the underlying skills of data analysis predate the title by decades.

Did you know?

Why Data Analysis matters.

Data analysis is the practice of cleaning, exploring, transforming, and modeling data to surface insights that drive decisions. It requires statistical intuition, tool proficiency, and the ability to communicate findings to non-technical audiences. Lemma sessions test all three dimensions in realistic scenarios.

Data analysis is one of the fastest-growing job categories globally. Companies are drowning in data and short on people who can make sense of it. Verified data analysis skills shortcut the hiring signal problem – employers know what you can actually do with a dataset.

1,432 people are learning this on Lemma

2,897 peer sessions completed

Avg SCI of 64 — tier 3 practitioners

64

avg SCI on Lemma

Data Analysis practitioners

Practice17 / 25
Proof24 / 40
Reliability12 / 20
Freshness9 / 15

Data Analysis verification — common questions

In a peer session, you work through a real dataset: cleaning, exploring, visualizing, and drawing conclusions. Your partner evaluates your methodology, tool proficiency, and ability to communicate findings clearly.

Your Data Analysis SCI measures competence in data cleaning, exploratory analysis, statistical reasoning, visualization design, and communicating insights to non-technical stakeholders.

Python (pandas, matplotlib, seaborn) or R are most common. SQL proficiency is expected for querying data. Sessions focus on your analytical reasoning and communication more than specific tool syntax.

Yes. Data analysis sessions can focus on financial data, product analytics, marketing attribution, or scientific analysis. The evidence trail shows your domain specialization alongside your general analytical proficiency.

DataCamp certificates prove course completion through guided exercises. Lemma verification proves you can analyze real, messy data and communicate findings with a peer evaluating your entire analytical process.

Start verifying your Data Analysis skills.

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