Certified Data Analysis Specialist Program

Overview of the Program

The "Certified Data Analysis Specialist" is a practical, first-level training course aimed at providing participants with the necessary concepts and tools to perform statistical and analytical reporting activities, in order to generate value from existing data. The course will provide participants with the required knowledge to understand the distinguished methods used in interpreting statistical data. Additionally, by attending this certification program, participants will be able to understand the basic methodology used in the statistical interpretation of quantitative data and become proficient in using the main features of Microsoft Excel, graphics, and Pareto charts.

Benefits

• Improve the decision-making process in the organization by acquiring knowledge about data analysis and interpretation;
• Obtain the most relevant data needed through customized data analysis preparation;
• Achieve management compliance by understanding the benefit of applying customized data analysis methodology in daily business activities;
• Provide a logical framework for understanding data analysis tools.

Learning Objectives

• Develop practical training, a practical overview of data analysis and related topics;
• Integrate statistical concepts and analysis tools widely used in corporate analysis environments;
• Analyze examples of practical applications of statistical methods used to solve real business issues;
• Master basic MS Excel and statistical techniques through practical examples.

Participant Profile

• The training course is designed for anyone with basic mathematical training and basic competencies in using Microsoft Excel. Statistical knowledge and intermediate or advanced knowledge of Excel, as well as practical experience with data analysis and related tasks, are not necessary but may contribute to a better understanding and deeper coverage of the course content. The diversity of participants' backgrounds may contribute to a comprehensive coverage of the entire scheme.
• The course is targeted at managers, HR representatives, analysts, auditors, or logistics and procurement specialists, as well as professionals from other business areas who deal with data analysis.
• The course may also be a starting point for those interested in pursuing career opportunities in data analysis, data modeling, and related activities (such as campaign management, data extraction, statistics, and risk management, reporting, and data processing for survey analysis, etc.).

Key Business Benefits

• Achieve process clarity and improve strategy through the implementation of data analysis frameworks;
• Improve performance reporting processes by bridging gaps in data analysis tools;
• Achieve superior results through the implementation of data analysis procedures.

Program Agenda

Day 1: Understanding Data Analysis

Course Context

• Introduction from participants;
• Setting expectations;
• Formulating learning objectives;
• Presentation of the course agenda.

Data Analysis - Basics

• Definitions and benefits of data analysis;
• Data analysis process;
• Reorganization based on analysis;
• Data analysis governance.

Data Quality

• Data accuracy;
• Logical inconsistencies;
• Data sampling errors;
• Data comparison
• Data completeness
• Economic/business interpretation of qualitative data.

Data Organization, Aggregation, and Consolidation

• Data structure
• Challenges in data aggregation;
• Data preparation;
• Expert judgment;
• Overall analysis and evaluation consolidation.
• Data normalization.

Day 2 - Data Analysis

Statistical Analysis Tools

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

Data Visualization and Pattern Detection

• One, two, and multi-dimensional data visualization;
• Level, trend, seasonality, and noise in time series data;
• Autocorrelation.

Data Comparison

• Analysis using graphs and Pareto charts.
• Cumulative percentage analysis;
• Rules for interpreting data and formulating conclusions.

Single and Multiple Variable Analysis

• Differences and integrations in individual and multiple analyses;
• Techniques used in single-variable analysis;
• Techniques for analyzing relationships between variables (correlation analysis);
• Parametric vs. non-parametric techniques used for analysis.

Regression Analysis

• Linear and logistic regression;
• Assumptions and basic models;
• Diagnostic measures and applications;
• Non-linear models using categorical data and other topics of interest.

Day 3 - Advanced Data Analysis

Probability and Confidence

• Expected values and hypothesis testing;
• Contingency tables - ANOVA.

From Exploration to Predictive Modeling

• Expected values;
• Confidence limits;
• Risks and uncertainty;
• Type 1 and Type 2 errors;
• Preliminary sensitivity analysis.

Big Data

• Compensation for small sample sizes;
• Big data.

Course Review and Certification Exam

• Course review
• Certification exam.

Facilitator

Adrian Otoiu

Subject Matter Expert KPI Institute

Adrian Otoiu is a subject matter expert with the KPI Institute and has gained 15 years of experience in statistical, economic, and business analysis in various roles within government, academic institutions, and multinational companies.

Throughout his experience, he has gained expertise in working with and has been trained in the following areas: labor market, health economics, migration, quantitative marketing - including online surveys, composite indicators, virtual and risk models, business analytics and business intelligence, data preparation and processing, teaching, and training.

His work has involved performing statistical analysis using the following main methods: regression analysis, including logistic regression, data/models/hierarchical models, factor analysis and PCA standard, Bayesian regression analysis, cluster analysis, market basket analysis, decision trees, and natural language processing. Adrian has complemented this set of operations by adding data analysis and reporting tailored to specific needs, including industry and competition analysis, SWOT and SBP studies, briefs and memoranda for government, academic papers and conference proceedings, specialized data retrieval from various sources, and presentation of results to non-technical audiences and fact-finding for high-level analyses.

In addition to statistical tasks, other significant work experiences include supporting analytics in the form of consecutive survey management and online data processing, extensive data processing for large datasets, precise data processing, data retrieval and use, and advisory on the use of official statistics, preparation of customized statistical products and tailored reports, and finally, development of script programs and ad-hoc tools for automating complex tasks.

These skills and abilities are supported by extensive experience and training in SAS and R, machine learning, and modeling techniques, backed by continuous connection with academic environments either in the form of applied research, continuous training provided by SAS and Johns Hopkins University Data Science program, and through teaching statistics and quantitative methods.

Learning Experience

• Pre-Course
• Basic Course
• Post-Course
• Assessment

This part of the learning experience aims to ensure a smooth transition to face-to-face training. Participants must take the following steps:

• Needs assessment - complete a survey to identify a customized and relevant learning experience;
• Pre-course assessment test - take a short test to determine your current level of knowledge;
• Guidance and timeline - analyze a document that provides guidelines on how to maximize your learning experience;
• Introduction to the forum - share an introductory message to introduce yourself to other course participants;
• Expectations - share your expectations regarding the course;
• Pre-reading - review a series of documents to better understand the course content.

The Certified Data Analysis Specialist Professional Training provides an interactive, practice-based learning environment where participants focus on:

• Creating customized data analysis models based on your organization's requirements;
• Acquiring knowledge about basic (and advanced) data analysis concepts and statistical tools;
• Applying the acquired knowledge in practical exercises, with the goal of enhancing the learning process.

The learning process is not completed when the basic course ends. To benefit from a complete learning experience, participants must also take the following steps:

• Forum discussions - start a discussion on the forum and contribute to a discussion opened by another participant;
• Action plan - develop a plan for actions and initiatives you intend to implement after the course;
• Internal presentation - create and present a short PowerPoint presentation to share the knowledge acquired in the course with your colleagues;
• Additional reading - go through a series of resources to expand your knowledge related to the course content;
• Learning journal: reflect on your learning experience in 3 stages and complete a learning journal

The certification process is completed only when all three stages of the learning experience are finalized. However, you will receive:

• Certificate of Achievement (electronic version): after completing the pre-course activities and passing the certification exam;
• Certificate of Attendance (paper version): after participating in a 3-day on-site course;
• Certified Data Analysis Specialist Professional Diploma (paper version): after successfully completing all three stages of the learning experience.

Madinah Institute For Leadership And Entrepreneurship (MILE)

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Overview:

The Madinah Institute for Leadership and Entrepreneurship (MILE) is a non-profit organization dedicated to fostering leadership and entrepreneurial excellence within the Arab and Muslim world. It was established as a Corporate Social Responsibility initiative of Madinah Knowledge Economic City (KEC) and has since grown into a collaborative effort supported by various companies, academic institutions, research and consulting organizations, and professional groups.

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Services Offered:

MILE offers a range of services, including:

Executive Education Programs:

MILE provides various programs designed for senior executives and high-potential leaders, covering topics like leadership, management, public policy, and strategic foresight.

Consulting Services:

MILE offers consulting services in areas such as strategy, organizational development, human capital, and performance development.

In-house Training:

MILE provides customized in-house training programs tailored to the specific needs of organizations.

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Student Life and Campus Experience:

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Key Reasons to Study There:

Global Thinkers:

MILE brings together renowned global thinkers and experts to share their knowledge and insights.

Scholarship Opportunities:

MILE offers scholarships to support talented future leaders and provide them with networking opportunities.

Holy City of Madinah:

The institute is located in Madinah, a significant religious and historical city, offering a unique cultural experience.

Partnership Opportunities:

MILE provides opportunities for organizations to collaborate and contribute to the development of business leaders.

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Academic Programs:

MILE offers a variety of programs, including:

Program for Advanced Leadership & Management (PALM):

This program focuses on transforming senior executives into leaders by providing them with the latest management concepts and tools.

Certified PPP Professional (CP³P):

This program aims to develop APMG-certified professionals in Public-Private Partnerships (PPP) to address infrastructure challenges.

Executive Program for Developing and Implementing Public Policies:

This program focuses on public policy challenges and aims to enable the development of high-performing governments.

Strategic Foresight and Scenario Analysis:

This program focuses on strategic foresight and scenario analysis techniques.

Advanced Program for Excellent Government Performance:

This program is designed for high-potential leaders in government agencies and features renowned professors and experts in public administration.

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Other:

MILE has a strong alumni network and provides various resources for its alumni, including profiles, testimonials, and networking opportunities. The institute also offers a range of publications and webinars.