Certified Data Analysis Professional

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business academy

project management

certified data analysis professional course

Learn data analysis through fact sheets, webinars, and hands-on training.

Gain basic to advanced knowledge of data analysis.

Prepare for data analysis challenges.

An expert-led 3-day program.

Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

Course Overview

At Vinsys, you will be guided by certified master trainers, who bring a wealth of experience as both educators and practitioners in the field of data analysis. Our expertise will provide you with in-depth knowledge of data analysis techniques to enhance your decision-making skills through a comprehensive analysis of quantitative and qualitative data.

Our training is designed to prepare you for the real-world application of data analysis. We will explain the value of accurate data collection and analysis for an organization. The course will kick off with an introduction to data analysis, covering its definition, utility, process, realignment, and governance. It focuses on improving data quality through data completeness, comparability, sampling errors, and other components. The second day will familiarize you with data visualization techniques and statistical analysis tools, enhancing your analytical skills.

The final day of the course is dedicated to advanced data analysis. We will use case studies, slides, fact sheets, and catalogs to ensure a clear and detailed understanding. The primary goal of this program is to equip you with the skills and knowledge to become a certified data analyst from the globally recognized KPI Institute, enhancing your career prospects and professional credibility.

Course Objectives

By joining this program, you will:

Understand the significance of data analysis for a business.
Learn optimization of the performance reporting processes by fixing the gaps discovered in the data analysis tools.
Evaluate how the decision-making process is influenced by practicing data analysis and interpretation.
Examine the best practices for maintaining data quality, such as data completeness and logical inconsistencies.
Develop data visualization techniques to present your data visually appealing.
Understand the importance of data comparison and practice techniques like Pareto Charts and histograms.
Learn mean, median, and mode statistical tools and statistical process control.
Understand probability, big data, expected values, risks, and other important factors under advanced data analysis.
Examine your roles and responsibilities while collecting and analyzing data.

Audience

Our expert-led C-DAP program will deliver advantages to:

Executives to operational managers regardless of their field of expertise
Performance management experts, such as strategy managers, data analysts, and project managers
Professionals from different fields interested in analyzing data

Eligibility Criteria

There are no formal prerequisites for enrolling in this program. If you have any doubts about eligibility criteria, contact us. We would be pleased to assist you.

Course Outline

Day 1 – Understanding data analysis

Course context

Introduction
Expectations
Objectives
Course agenda

Module 1: Data Analysis – The Basics

Importance and utility
Process
Realignment based on analysis
Governance of data analysis

Module 2: Data quality

Data comparability
Data accuracy
Data completeness
Economic/business interpretation of qualitative data
Data sampling errors
Logical inconsistencies

Module 3: Organizing, synthesizing and aggregating data

Data preparation & structure
Challenges in aggregating data
Expert judgement
Normalization of data
Meta analysis and evaluation

Day 2 – Data analysis

Module 4: Statistical analysis tools

Trend analysis: variance and standard deviation
Statistical tools: mean, median and mode
Statistical process control
Hypothesis testing

Module 5: Data visualization and pattern detection

Level, trend, seasonality and noise in time series data
Single, two and multi-dimensional data visualization
Autocorrelation

Module 6: Data comparison

Cumulative percentage analysis
Analysis using histograms and Pareto Charts
Rules for interpreting data
Formulating conclusions

Module 7: Univariate and multivariate analysis

Techniques for analyzing single variables
Differences and complementarities in single and multivariate analyses
Techniques for analyzing relationships between variables (correlation analysis)
Parametric vs. non-parametric techniques

Module 8: Regression analysis

Diagnostic measures and uses
Linear and logistic regression
Assumptions and basic models
Nonlinear models using categorical data and other topics

Day 3 – Advanced data analysis

Module 9: Probability and confidence

Contingency tables – ANOVA
Expected values and hypothesis testing

Module 10: From exploratory to predictive modeling

Risk and uncertainty
Expected values
Tentative sensitivity analysis
Confidence limits
Type 1 and type 2 errors

Module 11: Data dimensionality

Compensation for small sample sizes
Big Data

About The Certification & Examination:

Certification:

The certification process has three stages to enrich your learning experience.

Certificate of Completion (soft copy) is offered after completing pre-course activities and passing the Certification Exam.
If you have actively participated in the 3-day on-site training, the KPI Institute acknowledges your commitment with the Certificate of Attendance (hard copy).
After successfully completing all 3 stages of the learning experience, you will be eligible for the Data Analysis Certification Diploma (hard copy).

Our subject-matter experts will guide you through the certification process, ensuring you meet all the requirements.

Examination:

You will receive the certification from the reputed KPI Institute. Our expert will familiarize you with the exam format and requirements during training.

Choose Your Preferred Mode

Online Training

Blended learning methodologies including online, offline, on-demand, and self-paced.
Well-structured course modules to provide updated and relevant knowledge.
Interactive personalized, audio & video communications.
Certified instructors & authorized course materials.

Corporate Training

Offers real-time support to fix your queries related to programs.
Ready to modify and customize the course modules to fit your unique needs.
Improves role-specific competencies to reduce skills gaps.
Arranges prepaid and discounted training passes.

FAQ’s

Why should I consult Vinsys for KPI Institute courses?

Vinsys, a reputed online education provider in 15+ countries, is a leading training partner of various globally recognized institutes, including the KPI Institute. Our team of expert mentors for KPI courses ensures that you receive comprehensive guidance, regular assessment, and hands-on experience, instilling confidence and preparing you for challenges.

What is the length of the Certified Data Analysis Professional program?

If you enroll through online live training, this professional course takes only 3 days.

Can a fresher enroll in this course?

If you are a top, middle, or lower management professional in any industry, from finance to healthcare, who wants to improve your data analysis skills, this is a well-suited course for you.

What are the advantages of the program for businesses?

For businesses, the C-DAP program offers a wealth of advantages, including:

Real-time decision making
Management employee workload
Competitive advantage
Capture the current situations of your organization
Improve work quality
Improve the customer satisfaction level

Can I join this program at my convenience?

We support various training modes, including online live sessions, in-person training, private training, self-paced training, and group training, to provide high-quality training to a large number of individuals and businesses. Contact us to learn more.

Do you provide certification for this course?

The KPI Institute provides the C-DAP certification once you complete the pre-course activities and pass the certification exam. Our subject-matter specialists will discuss the certification process thoroughly during training.

Is this program available for businesses?

Yes, all the KPI Institute courses we offer are open to businesses of all sizes. We offer special discounts to our continuous members. Please contact us to learn about the training facilities we provide to businesses.

Can I access course materials?

Upon completing the C-DAP course enrollment process, you will be provided with a unique login to our learning platform. Here, you can access the course materials, including slides, dashboards, scoreboards, and videos, to continue your learning.

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Reviews

Recently, I have made a significant shift in my job role, transitioning from work management to data analysis. This decision was driven by the increasing demand for data gathering and presentation skills in our industry. I have empowered myself to perform univariate and multivariate analysis, including regression analysis, independently.

Abdul ManiProject Manager

Mastering the art of organizing, synthesizing, and aggregating data is no easy feat. However, through dedicated practice and the use of the right techniques, such as meta-analysis, evaluation synthesis, data segregation, and other data management practices, I have gained a solid command of these skills.

Anasah Abdus SamadSenior Project Manager

Our executives have benefited a lot from this data management course. Fortunately, this KPI program has built their confidence in using the latest analysis tools. This has improved worker efficiency, allowed them to make well-informed decisions, and facilitated strategic alignment.

Sailesh DIT Head

Our team has made significant strides in data collection and presentation. Implementing KPI techniques has elevated their performance levels. We have successfully streamlined processes, and the KPI dashboard enables us to monitor our progress in real-time.

Shubham R ParasharSoftware Engineer

Certified Data Analysis Professional (C-DAP) Course