IIBA Endorsed Certified Data Analyst

Catalyze impactful change in your organization with Meirc’s in-depth course on data analytics. Designed with a focus on practical application, this IIBA®-endorsed course aims to equip participants with a comprehensive understanding of the transformative role of data analytics in modern decision-making processes. Participants will learn to formulate data-driven questions that align with their organization's objectives, identify suitable data sources, and analyze large datasets. Furthermore, this course will equip participants with the necessary skills to craft captivating data visualizations, which they can utilize to showcase data-driven insights. PrerequisitesNone — open to managers at all levels

5 Days 2 Sessions Starting from USD 1,500 Available Online

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Course Methodology

This course uses Excel for analyzing complex datasets. Participants will collaborate on analyzing a real-world business case and will be expected to present their data-driven insights in a simulated board meeting.

Course Objectives

By the end of the course, participants will be able to:

Explain the importance of data analysis and the role of a data analyst in informing business decisions
Define business problems with data analytics tools and identify relevant data for them
Clean data and use descriptive statistics on it to describe business problems
Explain the reasons for business problems with data analysis diagnosis tools
Develop a solid data-driven presentation to offer compelling business recommendations

Target Audience

Analysts and professionals who are looking to build their data analysis skills as well as those who are interested in improving their decision-making capabilities based on data-driven insights.

Target Competencies

Analytical thinking
Sourcing data
Cleaning data
Validating data
Structuring data
Analyzing data
Data visualization

Course Outline

Fundamentals of Data Analysis
- Goal of data analytics
- Corporate decision-making malpractices
- Decision-making spectrum
- Emotional vs. rational corporate decisions
- Types of analytics methods
- Data analytics lifecycle
- Competencies of data analysts
Problem Definition and Data Collection
- Defining the business problem or opportunity
  - Business problems as data analysis questions
  - Business problems as objectives
  - Developing objectives using KPIs
  - Collecting data
- Qualitative and quantitative data
- Planning data collection
Data Cleaning and Descriptive Analysis
- Data cleaning operations
  - Handling missing/duplicate data
  - Replacing missing data and outliers
- Descriptive statistics
- Key components of descriptive statistics
- Measures of central tendency
- Measures of dispersion
- Data sampling
Diagnostic and Predictive Analytics
- Diagnostic analytics
- Techniques used in diagnostic analysis
- Drill-down diagnostic analytics
- Correlation diagnostic analytics
- Regression diagnostic and predictive analytics
- Formulating hypotheses
- Hypothesis testing and statistical significance
Data-Driven Business Recommendations
- Univariate visualizations (single variable)
- Bivariate visualizations (two variables)
- Multivariate visualizations (three or more variables)
- Specialized visualizations
- Business recommendations
- Storytelling elements
- Data-driven stories

2026 Schedule & Fees

Course Fees Starting From

USD 1,500

Location & Date

Date	City	Language	Price	Action
21 Jun - 26 Jun, 2026	Online	English	USD 1,500	Book
21 Jun - 26 Jun, 2026	Online	Arabic	USD 1,500	Book

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