Analyst Hive

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    Online Business · Membership

    Membership

    Learning format

    Subcategory

    $19/month

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Preparing STAR-method answers for data interviews
    • Applying strategically to data analyst positions
    • Refining your portfolio for stronger job applications
    • Creating a data portfolio with real projects
    • Learning practical SQL for real analyst work
    • Building a data-focused resume and LinkedIn profile

    Best For

    • Self-motivated, independent learners
    • Ops, finance, or healthcare professionals
    • Grads wanting real portfolio projects
    • Career changers, no data degree

    Not For

    • Complete beginners wanting hand-holding
    • Advanced analysts needing senior-level skills
    • People needing cohort-based accountability
    • Those wanting live coaching calls

    FAQ

    Still confused?

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    About the creator

    Ian Klosowicz

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    Data Analytics Career Education · Hornell, New York

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    Ian Klosowicz
    Featured video — Ian Klosowicz

    Analyst Hive

    Ian Klosowicz is a self-taught data analyst and Data Consultant at Stratos, based in Hornell, New York. Without a completed degree, he broke into data analytics after roughly a year of self-teaching SQL, Excel, and BI tools while working in a warehouse. He now teaches aspiring analysts through Analyst Hive, LinkedIn content (127K+ followers), and guest instruction with Maven Analytics.

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    Reviews, Scores & Student Outcomes

    Unclaimed Profile

    Analyst Hive is a 90-day, task-a-day program designed to help career changers break into data analytics without the overwhelm of scattered free resources. It follows a structured sequence: Month 1 covers resume, LinkedIn, SQL, and a first portfolio project, Month 2 covers intermediate SQL, portfolio refinement, and applications; Month 3 covers interview prep, STAR stories, and negotiation. Playbooks and templates unlock as needed, and there's no live cohort pacing just self-paced daily execution with async Q&A support.

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