Certified Analytics Professional (CAP) Exam Prep Course

سرفصل های دوره

Master the skills and knowledge to ace the CAP exam and advance your career as a Certified Analytics Professional!

1 - Introduction to CAP Exams

1 - CAP certification and Benefits

2 - Understanding Objectives

2 - Different Objectives and their Weightage

3 - Objective Business Problem Framing

4 - Objective Analytical Problem Framing

5 - Objective Methodology Approach

6 - What are Knowledge Statements

7 - Knowledge Statements Presentation techniques

3 - Understanding Business Problem Identification

8 - Business problem identification and stakeholders analysis

9 - How to refine problem statement

10 - Initial business benefits and stakeholders agreement

4 - Further Reading Business Problem

11 - How to Write a problem Statement

12 - Problem Statement Issue Vision etc

13 - Problem Solving

14 - The Problem Definition Process

15 - Power of Reframing Problems

16 - Power of Reframing Problem continued

17 - Business Problem Framing Questions

5 - Analytical Problem

18 - Analytical Problem Framing

19 - Kanos Requirement Model

20 - Proposed set of drivers and relationship to inputs

21 - Key Metrics of Success

6 - Certified Analyst Professional training Data Science

22 - Data Science Introduction and difference between BI and Data Science

23 - Data Science Introduction and difference between BI and Data Science continued

24 - How Data Science Work along with Acquire and Prepare Steps

25 - How Data Science Work along with Acquire and Prepare Steps continued

26 - How to Analyse and Act Data

27 - Guiding Principles and Reasoning and Common Sense

28 - Components of Data Science

29 - Classes of Analytic Techniques Transforming Learning and Predictive Analytics

30 - Learning Models Execution Models Scheduling and Sequencing

31 - Decomposing Analytical Problem

32 - Data Science Maturity

33 - Feature Engineering Dimensionality Reduction and Model Validation Part 1

34 - Feature Engineering Dimensionality Reduction and Model Validation Part 2

35 - DATA CAP Questions

7 - Certified Analyst Professional training FIVE E of CAP Exam

36 - The Five E for CAP exam

37 - The Five E for CAP exam continued

38 - Soft Skills for CAP exam

39 - Clarifying the Analytical Process

40 - CAP Terminology Yield Vechile Routing Problem and TSP

41 - CAP Terminology supply chain six sigma RFM

42 - CAP Terminology supply chain six sigma RFM continued

43 - Pattern Recognition Regression Predictive and Prescriptive Analytics

44 - Pattern Recognition Regression Predictive and Prescriptive Analytics continued

8 - Data Visualization CAP Certification

45 - Data Visualization Definition and Importance

46 - Data Visualization Definition and Importance continued

47 - Common Techniques for Data VisualizationData Cardinality and Velocity

48 - Common Techniques for Data VisualizationData Cardinality and Velocity Continued

49 - Decision Trees Heat Maps and other type of Data Visualization Techniques

50 - How to write Data Story

51 - Data Cleaning

52 - Quality of Data and Datamart

53 - Quality of Data and Datamart continued

54 - CAP Terminology Optimization and Next Best offer

9 - Analytics Methodology and Test Analytics Model

55 - Analytics Methodology Introduction

56 - Different type of Analytics Methodology

57 - Software Tool Selection

58 - Validating Analytics Model and Testing Results

59 - Predictive Methodlogy and Different Kinds

60 - Simulation and its Kind

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تولید کننده: Udemy