KPI Institute Certified Data Analysis Professional

Course Code: HRM 3122

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Course Sector:

HR Strategy and Training

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Course Dates and Locations

Choose a date and location to book your seat

No.

Date

Days

Location

Fees

Enrollment

04 - 08 Aug 2025

5 Days

Online, Virtual

$1,500

20 - 24 Oct 2025

5 Days

Online, Virtual

$1,500

Introduction

Training course introducion / brief

The Certified Data Analysis Professional is the first level of our Data Analysis Program. It is a hands-on training course aimed at equipping you with the necessary concepts and tools needed to perform basic statistical and analytical reporting activities, in order to generate value out of the existing data. The course provides you with the knowledge required for understanding distinct methods used in analyzing data, statistical interpretation of quantitative and qualitative data, and becoming proficient in using key Microsoft Excel features, by building frequency and conditional tables, creating different types of charts, finding correlations and relationships between variables, hypothesis testing and statistical modeling.

Developing a hands-on, practical overview of data analysis and connected topics;
Integrating statistical concepts and analysis tools that are widely used in corporate analytics environments;
Analyzing examples of practical applications for statistical methods, used in solving real-life business issues;
Acquiring mastery of Microsoft Excel Data Analysis features, by learning to use statistical
techniques through practical examples

The course is designed for anyone who has basic mathematical training and basic competences in using Microsoft Excel. Statistical knowledge, intermediate or advanced knowledge of Excel, practical experience with data analysis and related duties are not necessary but may contribute to a better understanding and more in-depth coverage of the course content. Diversity of participants’ background may help in a thorough coverage of the entire syllabus.
The course is addressed to managers, Human Resources Representatives, analysts, auditors or logistics and acquisitions experts, as well as to professionals from other business areas, who deal with data and analysis on daily basis.
The course may also be a starting point for those interested in pursuing career opportunities in data analysis, data modelling and related activities (e.g. campaign management, data mining, statistics, risk management, reporting, data processing for survey analysis etc.).

Understanding Data Analysis:

Course context:

Introduction of the participants
Expectations setting
Learning objectives formulation
Course agenda presentation

Business Understanding:

Definition of Data Analysis
Types of Data Analysis
Data Analysis Process
Data Analysis Governance
Data Analysis in Business Capabilities

Data Preparation:

Types of Data Sets
Data Quality
Data Cleaning
Data Aggregating

Understanding Data Analysis:

Data Exploration:

Frequency Tables
Qualitative Charts
Quantitative Charts
Structure Charts

Descriptive Statistics:

Univariate Analysis
Bivariate Analysis

Sampling:

Population and Sample
Sampling Techniques
Sampling Determinations

Core of Data Analysis:

Estimation of Population:

Inferential Statistics Types
Sources of Estimation Errors
Central Limit Theorem
Normal Distribution and T-Distribution
Population Interval Estimation

Hypothesis Testing:

Hypothesis Testing Procedure
Type I and Type II Errors
Level of Significance and p-Value
Different Types of Hypothesis Testing

Z-Test and T-Test:

One Sample Analysis
Two Independent Samples Analysis
Two Dependent Samples Analysis

Advanced Data Analysis:

Analysis of Variance:

F-Distribution
ANOVA Test procedure
Three or more Independent Samples Analysis

Chi-Square Tests:

Chi-Square Distribution
Goodness of fit Test
Test of Independence

Linear Regression Analysis:

Least Square Method
Coefficient of Determination and Correlation
Standardization; Homogeneity.

Advanced Data Analysis:

Multiple Regression Analysis:

Multiple Coefficient of Determination
Multicollinearity
Variance Inflation Factor

Time Series:

Trend Component
Cyclical Component
Seasonal Component
Irregular component
Moving Average

Review and certification exam:

Course Review
Certification Exam

Boost certificate of completion

BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.

ENDORSED EDUCATION PROVIDER

Flexible deadlines

Customized dates accordance to your schedule

Shareable Certificate

Earn certificate upon completion

COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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TRAINING COURSE: KPI Institute Certified Data Analysis Professional