Mooc AtlasUniversity-level self-study
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Data & AI · 10Beginner

Data-Driven Manager

Non-technical managers who lead data or AI projects.

Understand statistics and AI, decide under uncertainty, organise an analysis workflow and handle data ethics and security.

172hours of coursework
18weeks at 10 h
4steps
14courses
2universities

Target skills

Data AnalysisExperimentationData PresentationGenerative AIDecision MakingSystems ThinkingResponsible AIHistogramModel EvaluationArtificial IntelligenceScientific MethodsAI literacy

Skill labels as listed on Coursera.

Target jobs

  • Data project manager
  • Manager
  • Product owner

Progression

  1. 1
    University of MichiganBeginner

    Stated prerequisites: No previous knowledge of data, statistics or AI necessary

    Show the 3 courses
    CourseLevelLengthRating (reviews)
    How to Describe DataBeginner9 h4.7 (29)
    How Science Turns Data Into KnowledgeBeginner11 h4.7 (18)
    Decoding AI: A Deep Dive into AI Models and PredictionsBeginner10 h4.7 (29)
  2. 2
    University of MichiganIntermediateGenerative AI tools

    Stated prerequisites: None stated (no coding required)

    Show the 4 courses
    CourseLevelLengthRating (reviews)
    Model ThinkingIntermediate28 h4.8 (2,265)
    Problem Solving Using Computational ThinkingBeginner12 h4.6 (1,313)
    Mindware: Critical Thinking for the Information AgeBeginner13 h4.8 (1,453)
    Leveraging GenAI to Develop Critical Thinking SkillsBeginner6 h4.3 (11)
  3. 3
    University of MichiganBeginnerGenerative AI tools, GitHub

    Stated prerequisites: Basic familiarity with computers and internet search

    Show the 3 courses
    CourseLevelLengthRating (reviews)
    AI-Powered Data Analysis: A Practical IntroductionBeginner5 h4.5 (30)
    Systems Thinking for AI & AutomationBeginner4 h—
    Rethink How You Decide with AIBeginner5 h—
  4. 4
    University of Colorado BoulderIntermediateRacademic credit

    Stated prerequisites: Some R programming

    Show the 4 courses
    CourseLevelLengthRating (reviews)
    Data Science as a FieldIntermediate11 h4.3 (41)
    Ethical Issues in Data ScienceBeginner24 h4.8 (53)
    Cybersecurity for Data ScienceBeginner19 h3.6 (36)
    Fundamentals of Data VisualizationIntermediate15 h4.6 (44)

With Coursera Plus

This path takes 172 hours, about 4 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.

Discover Coursera Plus

Projects to build

After step 1

Study checklist

Build a 10-question checklist to judge a study or a figure, and apply it to three examples.

After step 2

Decision tree

Model a real team decision with probabilities and expected values.

After step 3

AI use map

List the tasks in your team that AI can speed up, with gains and risks.

After step 4

Data charter

Write a one-page charter on data ethics, privacy and security.

Free textbooks

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