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Michael Salvato's
Data Scientist Associate certificate

Obtained: 5 February 2024.
Expires: 4 February 2026.
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Michael Salvato's Data Scientist Associate certificate
Explore Michael's work
To get certified as a Data Scientist 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

    Cross
    Getting data from a range of appropriate sources and resolving data issues, such as formats, handling missing data, reshaping and joining, and validating data.
  • Exploratory Analysis

    Exploratory Analysis

    Cross
    Using standard manipulation and visualization techniques to learn more about the data available and insights that may be gained. Preparing data for further analysis and modeling including the creation of new features.
  • Statistical Experimentation

    Statistical Experimentation

    Cross
    Using data and relevant statistical approaches to perform experiments.
  • Modeling

    Modeling

    Cross
    Developing predictive models using appropriate machine learning techniques for the data and task at hand. Performing all elements of the model development workflow from initial fit to model validation and parameter tuning.
  • Programming for Data Science

    Programming for Data Science

    Cross
    Being able to write reusable code to solve data problems. Identifying when problems have occurred and resolved them effectively, ultimately resulting in a process suitable for production environments for solving data challenges.
  • Communication and Visualization

    Communication and Visualization

    Cross
    Presenting data in reports or dashboards to make available to stakeholders and clearly presenting actionable analytic results to business problems.
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 allows the candidate to demonstrate that they are able to put together their skills to solve problems they will experience in the real world. The candidate must complete a task that addresses a business problem by cleaning and validating data, calculating metrics and implementing standard modelling approaches for supervised or unsupervised learning problems.