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Master Data Science Problem-Solving: CRISP-DM Pro Guide

Focused View

1:25:10

  • 01 - Welcome.mp4
    00:51
  • 02 - Intended Audience.mp4
    01:20
  • 01 - Looking at the project from the sponsors point of view.mp4
    03:45
  • 02 - Reading the project description critically.mp4
    03:48
  • 03 - Preparing for the first meeting as an internal resource.mp4
    02:59
  • 04 - Preparing for the first meeting as an external resource.mp4
    02:36
  • 01 - What to expect in the initial meeting.mp4
    03:18
  • 02 - Inference vs. prediction.mp4
    06:11
  • 03 - Prediction vs. forecasting.mp4
    04:31
  • 04 - Avoiding confusion with other analytic project types.mp4
    03:13
  • 05 - Diving deeper into predictive analytics.mp4
    01:38
  • 06 - Identifying ROI.mp4
    02:38
  • 07 - Some questions that always apply.mp4
    01:10
  • 01 - Business understanding phase overview.mp4
    02:28
  • 02 - The four tasks.mp4
    02:52
  • 03 - Advice on how much detail to share.mp4
    01:48
  • 01 - Pre-meeting requests and preparation.mp4
    03:30
  • 02 - Ensuring that you leave with the critical info.mp4
    05:17
  • 03 - The provenance of the data.mp4
    02:34
  • 04 - Leveraging IT experience and expertise.mp4
    02:53
  • 01 - Leave these interviews for last.mp4
    01:52
  • 02 - Assessing culture.mp4
    02:54
  • 03 - Focusing on inclusion, not exclusion.mp4
    02:11
  • 01 - Metadata vs. data.mp4
    02:04
  • 02 - Estimates of accuracy.mp4
    02:54
  • 03 - Beware too much prototyping.mp4
    03:39
  • 01 - Documentation advice.mp4
    04:03
  • 02 - A simple visuatlization for setting priorities.mp4
    01:38
  • 03 - Striking the optimal amount of detail.mp4
    03:11
  • 01 - Whats next in problem identification and solution design for data scientists.mp4
    01:24
  • More details


    Course Overview

    This course equips data scientists with essential skills to bridge the gap between technical analysis and business needs. Learn to translate business problems into data solutions using CRISP-DM methodology while effectively communicating with stakeholders at all levels.

    What You'll Learn

    • Translate business needs into technical requirements
    • Apply CRISP-DM methodology effectively
    • Conduct structured interviews with project stakeholders

    Who This Is For

    • Aspiring data professionals
    • Data scientists transitioning to business-facing roles
    • Analysts seeking better stakeholder communication skills

    Key Benefits

    • Master bilingual communication for technical and business audiences
    • Learn to identify and prioritize high-ROI projects
    • Gain practical frameworks for initial project meetings

    Curriculum Highlights

    1. Understanding business perspectives
    2. CRISP-DM business understanding phase
    3. Effective stakeholder interviews
    Focused display
    Category
    • language english
    • Training sessions 30
    • duration 1:25:10
    • English subtitles has
    • Release Date 2025/06/02