Home Search Profile

Ultimate CAP Exam Prep: Master Certified Analytics Pro 2024

Focused View

7:55:14

  • 1 - CAP certification and Benefits.mp4
    10:29
  • 2 - Different Objectives and their Weightage.mp4
    10:42
  • 3 - Objective Business Problem Framing.mp4
    06:30
  • 4 - Objective Analytical Problem Framing.mp4
    06:30
  • 5 - Objective Methodology Approach.mp4
    06:54
  • 6 - What are Knowledge Statements.mp4
    09:35
  • 7 - Knowledge Statements Presentation techniques.mp4
    06:01
  • 8 - Business problem identification and stakeholders analysis.mp4
    10:05
  • 9 - How to refine problem statement.mp4
    07:26
  • 10 - Initial business benefits and stakeholders agreement.mp4
    04:45
  • 11 - How to Write a problem Statement.mp4
    06:06
  • 12 - Problem Statement Issue Vision etc.mp4
    05:30
  • 13 - Problem Solving.mp4
    03:54
  • 14 - The Problem Definition Process.mp4
    08:52
  • 15 - Power of Reframing Problems.mp4
    03:33
  • 16 - Power of Reframing Problem continued.mp4
    08:31
  • 17 - Business Problem Framing Questions.mp4
    10:10
  • 18 - Analytical Problem Framing.mp4
    09:05
  • 19 - Kanos Requirement Model.mp4
    07:18
  • 20 - Proposed set of drivers and relationship to inputs.mp4
    09:37
  • 21 - Key Metrics of Success.mp4
    11:43
  • 22 - Data Science Introduction and difference between BI and Data Science.mp4
    09:47
  • 23 - Data Science Introduction and difference between BI and Data Science continued.mp4
    06:13
  • 24 - How Data Science Work along with Acquire and Prepare Steps.mp4
    06:43
  • 25 - How Data Science Work along with Acquire and Prepare Steps continued.mp4
    07:09
  • 26 - How to Analyse and Act Data.mp4
    06:41
  • 27 - Guiding Principles and Reasoning and Common Sense.mp4
    11:59
  • 28 - Components of Data Science.mp4
    06:13
  • 29 - Classes of Analytic Techniques Transforming Learning and Predictive Analytics.mp4
    10:11
  • 30 - Learning Models Execution Models Scheduling and Sequencing.mp4
    09:00
  • 31 - Decomposing Analytical Problem.mp4
    11:00
  • 32 - Data Science Maturity.mp4
    06:17
  • 33 - Feature Engineering Dimensionality Reduction and Model Validation Part 1.mp4
    08:25
  • 34 - Feature Engineering Dimensionality Reduction and Model Validation Part 2.mp4
    04:00
  • 35 - DATA CAP Questions.mp4
    07:20
  • 36 - The Five E for CAP exam.mp4
    05:40
  • 37 - The Five E for CAP exam continued.mp4
    06:52
  • 38 - Soft Skills for CAP exam.mp4
    11:18
  • 39 - Clarifying the Analytical Process.mp4
    08:54
  • 40 - CAP Terminology Yield Vechile Routing Problem and TSP.mp4
    10:15
  • 41 - CAP Terminology supply chain six sigma RFM.mp4
    06:24
  • 42 - CAP Terminology supply chain six sigma RFM continued.mp4
    06:31
  • 43 - Pattern Recognition Regression Predictive and Prescriptive Analytics.mp4
    06:06
  • 44 - Pattern Recognition Regression Predictive and Prescriptive Analytics continued.mp4
    06:29
  • 45 - Data Visualization Definition and Importance.mp4
    07:41
  • 46 - Data Visualization Definition and Importance continued.mp4
    06:23
  • 47 - Common Techniques for Data VisualizationData Cardinality and Velocity.mp4
    08:03
  • 48 - Common Techniques for Data VisualizationData Cardinality and Velocity Continued.mp4
    08:02
  • 49 - Decision Trees Heat Maps and other type of Data Visualization Techniques.mp4
    11:49
  • 50 - How to write Data Story.mp4
    10:45
  • 51 - Data Cleaning.mp4
    11:43
  • 52 - Quality of Data and Datamart.mp4
    08:53
  • 53 - Quality of Data and Datamart continued.mp4
    06:52
  • 54 - CAP Terminology Optimization and Next Best offer.mp4
    04:31
  • 55 - Analytics Methodology Introduction.mp4
    11:00
  • 56 - Different type of Analytics Methodology.mp4
    10:01
  • 57 - Software Tool Selection.mp4
    09:01
  • 58 - Validating Analytics Model and Testing Results.mp4
    09:00
  • 59 - Predictive Methodlogy and Different Kinds.mp4
    04:47
  • 60 - Simulation and its Kind.mp4
    04:00
  • More details


    Course Overview

    This comprehensive course prepares you to ace the Certified Analytics Professional (CAP) exam, covering essential analytics methodologies, data science techniques, and business problem-solving frameworks to advance your career in analytics.

    What You'll Learn

    • Master business problem framing and analytical problem-solving techniques
    • Gain proficiency in data acquisition, preparation, analysis, and feature engineering
    • Apply the Five E's of the CAP exam and develop essential soft skills for certification

    Who This Is For

    • Aspiring analysts seeking CAP certification
    • Data science professionals deepening analytics expertise
    • Business leaders making data-driven decisions

    Key Benefits

    • Fully equipped to pass the CAP exam on first attempt
    • Master industry-standard analytics terminology and methodologies
    • Learn to create impactful data stories through visualization

    Curriculum Highlights

    1. CAP certification process and business problem framing
    2. Data science workflow and analytical techniques
    3. Five E's framework and exam terminology mastery
    Focused display
    • language english
    • Training sessions 60
    • duration 7:55:14
    • Release Date 2025/05/18