Course Description:-
Certified Analytics Professional (CAP) program is an exam-based certification designed to recognize professionals in the analytics industry who have mastered the end-to-end analytics process from business problem framing to model lifecycle management. It is industry, vendor and software-neutral.
It has been described as the PMP for analytics professionals. To maintain their CAP, credential holders must earn 30 professional development units over a three-year period. CAP is truly a comprehensive professional development program. The exam consists of 7 domains.
Benefits of Certified Analytics Professional Certification
Advances your career potential by setting you apart from the competition
Drives personal satisfaction of accomplishing a key career milestone
Helps improve your overall job performance by stressing continuing professional development
Recognizes that you have invested in your analytics career by pursuing this rigorous credential
Boosts your salary potential by being viewed as experienced analytics professional
Shows competence in the principles and practice of analytics
Demonstrates commitment to the field
Proves to stakeholders that your organization follows industry-standard analytics practice
What are the requirements for CAP Course?
– Passion to learn
– Basic knowledge of general Analytics concepts, although everything would be taught in detail.
What am I going to get from this CAP course?
– Over 60 lectures and 11 hours of content!
– To help you advance your career by setting you apart from the competition, enabling you to derive personal satisfaction from accomplishing a key career goal.
– Enables Analytics Professionals with a means to distinguish themselves and demonstrate to employers, colleagues and the public that they have the knowledge to be competent analytics professionals.
What is the target audience for CAP Course?
General analytics professionals
Students with BS or BA degree
Those who want to appear for the CAP certification and have all the required eligibility.
Benefits of online course:
1. High Quality Content
2. Learn Anywhere Anytime & at Your Pace
3. 24X7 Customer Support
4. Complete Student Support throughout the Program
5. Online Video Training Material
6. Lifetime course access
For any query call/miss call-
Mob-+918587999769/9818826705
Section 1: Introduction to CAP Exams
- CAP certification and Benefits
Section 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
Section 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
Section 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 Re-framing Problems
16 Power of Re-framing Problem continued
17 Business Problem Framing Questions
Section 5: Analytical Problem
18 Analytical Problem Framing
19 Kano’s Requirement Model
20 Proposed set of drivers and relationship to inputs
21 Key Metrics of Success
Section 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
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
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 01
34 Feature Engineering Dimensionality Reduction and Model Validation_Part01
35 DATA CAP Questions
Section 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
Section 8: Data Visualization- CAP Certification
45 Data Visualization Definition and Importance
46 Data Visualization Definition and Importance continued
47 Common Techniques for Data Visualization , Data Cardinality and Velocity
48 Common Techniques for Data Visualization , Data Cardinality and Velocity
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
Section 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
