Overview
What is CAP – Certified Analytics Professional ?
CAP was developed in the year 2013. CAP was launched by The Institute for Operation Research and Management Sciences (INFORMS). INFORMS is the first to develop a professional certification program in the field of analytics. CAP is a professional certificate issued for individuals with business analytics experience. CAP program sets standards for the analytics professionals and the organizations can select well qualified analytics professionals. CAP certification will improve the career of the analytics professional and improve the credibility of the analytics professional. CAP examines the knowledge of a person across seven domains
Benefits of being a Certified Analytics Professional
- Helps to improve your career and makes you stand ahead of the competition
- CAP helps to improve your job performance
- CAP makes you an expert in the field of analytics
- Undertaking CAP will help you to get recognized as an analytics expert
- CAP will help to increase your salary as you become an experienced analyst with this certification
Course Objectives
At the end of this course you will be able to
- Know the advantages of getting CAP certificate
- Understand the basics and domains of CAP
- Get one step ahead in your career using CAP
- Gain knowledge about data science and analytics methodology
Pre requisites for taking this course
CAP is designed for professional analytics who are in their early stage or mid stage of development. Participants should have a bachelor or master’s degree with 5 or 3 years of experience in the field of analytics. Others Bachelor degree holders should have at least 7 years of experience in any unrelated area.
Target Audience for this course
Those who pass the eligibility criteria of CAP can undertake this course. Students and professionals who are interested can also take up this course.
Course Description
Section 1: Introduction toCertified Analytics Professional exams
CAP Certification and Benefits
This chapter contains a brief introduction to CAP and lists out all the Benefits of CAP to you and the benefits of CAP for your Employer.
Section 2: Understanding Objectives
Different Objectives and their Weightage
The job task analysis of CPA can be viewed in this section as a outline. The job task analysis in nothing but the blue print of the exam pattern and how the marks are segregated. The JTA of CPA contains seven domains. Each domain is explained in detail under this section with their respective weightage.
- Business Problem Framing
- Analytical Problem Framing
- Methodology Approach
- Data
- Model Building
- Deployment
- Life Cycle Management
What are Knowledge Statements
This section tells you what are knowledge statements and explains about the 16 knowledge statements in CAP.
Section 3: Understanding Business Problem Identification
Business problem identification and stakeholders analysis
This chapter explains the Business problem Framing domain and the topics covered under this section includes
- Receive and Refine the business problem
- Identify stakeholders
- Determine whether the problem is amenable to an analytics solution
- Refine problem statement and delineate constraints
- Define an initial set of business benefits
- Obtain stakeholder agreement on the problem statement
Section 4: Further Reading Business Problem
How to Write a problem Statement
This section gives an introduction to problem statement. The other topics included are
- How to write a problem statement
- Where to get started – Who, What, When, Where, Why
- Issue statement of the problem
- Vision of the problem
- Problem Solving process – Explaining the problem, Costs of the problem, Assertions, Proposing a solution, benefits of the solution, summarizing the problem and solution
The Problem Definition Process
The problem solving steps and processes are explained in detail under this chapter.
Power of Re-framing Problems
This section explains what is reframing, what is the process of reframing the problem and how reframing the problem helps in innovation and creative problem solving methods
Business Problem Framing Questions
Under this chapter you will learn how to frame a business problem and what are the factors to be considered while framing a business problem.
Section 5: Analytical Problem
Analytical Problem Framing
This section explains the Analytics Problem framing domain and the topics included are
- Reformulating the business problem statement as an analytics problem
- Develop a proposed set of drivers and relationship to outputs
- Set of assumptions related to the problem
- Define the key metrics of success
- Obtain stakeholder agreement
Kano’s Requirement Model
Kano Model helps to understand the customer requirements for new products and services. It explains the five categories of customer requirements. This section contains topics like what is a Kano model, why is it used, how it is used and template of Kano model.
Section 6: Certified Analyst Professional Training – Data Science
Data Science Introduction and difference between BI and Data Science
This chapter gives a brief introduction to Data Science and also lets you learn about the basics of data science under four topics
- Data Manipulation
- Data Analysis
- Data at Scale
- Data communication
The section also covers the difference between Data Science and Business Intelligence.
How Data Science Work along with Acquire and Prepare Steps
Here you will learn the data science workflow. There are four main stages in the workflow of data science – Preparation Phase, Analysis Phase, Reflection Phase and Dissemination Phase.
All these phases are explained in detail under this chapter with the help of a pictorial representation. The steps of Data Science involves Acquire, Prepare, Analyze, Visualize and Share.
How to Analyse and Act Data
The main activity of the analysis phase such as writing, executing and refining the programs to analyze the data are explained in detail under this chapter. The different languages used by data scientists are mentioned here along with three main sources of slowdowns.
Guiding Principles and Reasoning and Common Sense
The next step after analyzing the data is to take action. This section contains the guiding principles which will help you to get the output. The key points of the principles are mentioned in this chapter.
Components of Data Science
The components of data science are divided into different categories based on several factors. The main factors are data types, Execution models, Learning models and Analytic Classes. The components under these heading are explained in brief in this section.
Classes of Analytic Techniques Transforming Learning and Predictive Analytics
The classes of analytic techniques are divided into nine analytic classes under three topics
- Transforming analytics – Aggregation, Enrichment, Processing
- Learning Analytics – Regression, Clustering, Classification, Recommendation
- Predictive Analytics – Simulation, Optimization
Learning Models , Execution Models Scheduling and Sequencing
Learning models helps to perform judgements on new data which is based on its history. Learning model consists of two types – Learning style and Training style. Each is explained in this chapter.
Execution models lets you learn how data can be manipulated. Execution model consists
- Scheduling – Batch and Streaming
- Sequencing – Serial and Parallel
Decomposing Analytical Problem
Decomposing is the first step in the analytics selection process. This chapter contains the Fractal Analytic Model and explains what are the things to be considered while decomposing your problem.
Data Science Maturity
In this chapter the following topics are included
- How Data Science Maturity Works
- Data Science Maturity Model
- Stages of Maturity – Collect, Describe, Discover, Predict, Advise
- The art of Data Science
Feature Engineering, Dimensionality Reduction and Model Validation
Here you will learn what is machine learning and its tricks. The other topics covered under this chapter includes the following
- How to deal with feature engineering
- Problems faced with feature engineering
- Example of feature engineering
- Techniques for data dimensionality reduction
- Which model should be used
Section 7: Certified Analyst Professional Training – FIVE E of CAP Exam
The Five E for CAP exam
The five E’s of CAP exam are education, experience, ethics, effectiveness and exam. These five E’s are explained under this section.
Soft Skills for CAP exam
Soft skills are less technical skills that are required for writing CAP exam. This section covers what are the soft skills required and how it is confirmed.
Clarifying the Analytical Process
There are certain code of ethics for all CAP. Here you will learn such code of ethics under the following topics
- Background
- Applicability
- Purpose
- General
- Responsibilities
- Society
- Employers and Clients
- Colleagues
CAP Terminology Yield Vehicle Routing Problem and TSP
This chapter gives the overview of Yield Vehicle Routing Problem, travelling salesman problem and its algorithms
CAP Terminology supply chain six sigma RFM
It explains how six sigma is used in supply chain and what is RFM analysis.
Pattern Recognition, Regression, Predictive and Prescriptive Analytics
In this section you will learn in brief about the Pattern recognition, Regression, Predictive analytics and Prescriptive analytics.
Section 8: Data Visualization – CAP Certification
Data Visualization Definition and Importance
Here you will learn what is data visualization, visualization types, designing a visualization and data visualization tools.
Common Techniques for Data Visualization , Data Cardinality and Velocity
This chapter will help you to learn common visualization techniques, what is data cardinality and velocity. The chapter also explains the different data visualization techniques with an example for each
- Type of Charts
- Decision tree
- Heat map charts
- Type of Graphs
How to write Data Story
Now a day’s data driven stories are gaining more interest. In this chapter you will learn how to write a data story. The first thing you need while writing a data story is to have a clear data. So filtering and cleaning the data is also covered in this chapter.
Quality of Data and Data mart
In this chapter you will learn what is data mart, the objectives and strategy for change to get quality data.
CAP Terminology Optimization and Next Best offer
The topics covered in this chapter are What is Next best action, its leading symptoms and trailing cynicisms and Next best action optimizers.
Section 9: Analytics Methodology and Test Analytics Model
Analytics Methodology Introduction
This tutorial gives a brief introduction about the Analytical methods, its tools, concept and definition.
Different type of Analytics Methodology
In this chapter you will learn the most widely used analytical methods in detail
- BCG matrix
- Brainstorming
- Benchmarking
- Gap Analysis
- Mind Maps
- SWOT analysis
Software Tool Selection
The process of selecting software tools and the criteria for selecting software tools are explained in this section.
- Validating Analytics Model and Testing Results
- This chapter contains the following topics
- Effective model validation
- Techniques for developing analytic models
- Introduction to modelling techniques in predictive analytics
- Predictive modelling – Predictive analysis
Simulation and its Kind
This chapter contains Introduction to Simulation, Languages used for developing a simulation model, Types of Simulation, Terminology and common mistakes in Simulation.
FAQ’s General Questions
- Why should I get certification ?
Getting a certification in the analytics field will help to improve your career and will make you stand ahead of the competition. You can also improve your job performance which will in turn help you to get a higher salary than before.
- Can I waive the eligibility requirements of CAP ?
Only if you have many years of experience in the field of analytics you can waive the requirements of CAP otherwise it is a compulsory.
- What is the validation period of CAP certification ?
It lasts for three years and it must be renewed after three years.
Testimonials
- Shahid
This course was of great help to me. It made me understand the basics of CAP certification. After completing this online course i was able to perform better in my job. The content of the course was excellent and the concepts were explained in an easy and simple manner.
- Rias
I found this course to be a fantastic introduction to CAP. The contents of the course makes it more interesting and it is the best for the professional analysts. It is simple, useful and easy to learn. It helped me to gain a lot of knowledge about CAP. I am so pleased to have been completed this online course. Would definitely recommend this course.
Where do our learners come from? |
Professionals from around the world have benefited from eduCBA’s CAP – Certified Analytics Professional Courses. Some of the top places that our learners come from include New York, Dubai, San Francisco, Bay Area, New Jersey, Houston, Seattle, Toronto, London, Berlin, UAE, Chicago, UK, Hong Kong, Singapore, Australia, New Zealand, India, Bangalore, New Delhi, Mumbai, Pune, Kolkata, Hyderabad and Gurgaon among many. |