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Peter O'Dell's
Data Analyst Associate certificate

Obtained: 13 March 2023.
Expires: 12 March 2025.
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Peter O'Dell's Data Analyst Associate certificate
To get certified as a Data Analyst Associate, this candidate had to demonstrate that they have the knowledge, skills, and abilities to succeed at the entry level in this role. The competency domains assessed included, but were not limited to:
  • Data Management

    Data Management


    At the level of data analyst, data management tasks relate mostly to data cleaning and processing. This includes identifying data quality issues, performing transformations and being able to work with data from multiple sources, typically multiple database tables. For the large part, these tasks are performed in SQL.

    This skill was tested through a hands-on SQL coding challenge. The individual was required to code specific cleaning and transformation tasks that can be applied to a given data source.

  • Exploratory Analysis

    Exploratory Analysis


    From specific business questions to more general exploration, being able to approach a problem, find the right data and get it into the right format is the core work of a data analyst. This candidate was comfortable in everything from creating summaries of data to transforming data into relevant formats for generating reports and dashboards.

    This skill was primarily tested through a hands-on SQL coding challenge but assessment was also supplemented through a test in either R or Python.

  • Statistical Experimentation

    Statistical Experimentation


    Using data and relevant statistical approaches to perform experiments.

  • Communication and Visualization

    Communication and Visualization


    As a direct line between business stakeholders and the data, it is essential to be able to effectively communicate insights. Creating dashboards, reports and presentations are all day to day aspects of the data analysts role. While the tools to do this may vary widely, the ability to create strong representations of the data through tables and visualizations and being able to effectively talk through findings, are essential at all levels.

Typically these skills can take candidates 100+ hours to acquire over time
We tested the candidate's skills rigorously through:

Timed exams

Through a series of questions on a range of topics, we are able to establish that this individual has the knowledge required for a data analyst role. We make use of adaptive testing approaches to understand to a high degree of confidence the skill level of individuals who take the assessments.

Practical exam submission

This stage of the certification is graded manually and stringently by our data experts. The candidate must complete a written report that addresses a business problem. In this report, they've selected appropriate visualizations and effectively defended their analysis.