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Certified Advanced Data Analysis Professional

Unlock your potential with the Certified Advanced Data Analysis Professional course by BGMC, an internationally recognized qualification designed to empower professionals with advanced analytical and visualization capabilities.

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Certified Advanced Data Analysis Professional

Certified Advanced Data Analysis – Foundation Level

accredited by

The Electrical Work Permit Training is accredited and delivered by BGMC Group, a globally recognized provider of professional health, safety, and technical training solutions.

Examination & Certification

The course concludes with an assessment to ensure participants understand safe electrical work practices, isolation procedures, and permit-to-work protocols.

Duration:

  • Online Instructor-Led Training: 1 Day (Intensive session)

  • Classroom Training: 1 Day (Full-day workshop with demonstrations)

  • Self-Paced Online Learning: Approximately 6–8 study hours

Module 1: Introduction to Data Analysis
  • What is data analysis?
  • The data analysis lifecycle
  • Data types & data sources
  • Structured vs unstructured data
  • Importance of data-driven decision-making
Module 2: Data Cleaning & Preparation
  • Removing duplicates, missing values, and outliers
  • Data formatting and standardisation
  • Normalisation & categorisation
  • Data validation techniques
  • Preparing clean datasets for analysis
Module 3: Excel for Data Analysis
  • Functions: VLOOKUP, XLOOKUP, IF, SUMIF, COUNTIF, INDEX & MATCH
  • PivotTables & PivotCharts
  • Sorting, filtering, grouping
  • Creating dashboards in Excel
  • Scenario analysis & What-If analysis
Module 4: SQL for Data Extraction
  • Introduction to relational databases
  • SELECT, WHERE, GROUP BY, HAVING
  • JOINs (Inner, Left, Right, Full)
  • Filtering, aggregating, and organising data
  • Creating custom datasets for analysis
Module 5: Data Visualisation & BI Tools
  • Choosing the right chart
  • Visual encoding principles
  • Power BI/Tableau basics
  • Interactive dashboards (filters, slicers, KPI cards)
  • Publishing and sharing dashboards
Module 6: Exploratory Data Analysis (EDA)
  • Identifying trends, patterns, correlations
  • Descriptive statistics
  • Outlier detection
  • Data distributions
  • Interpreting results & making conclusions
Module 7: Statistical Analysis (Beginner-Friendly)
  • Measures of central tendency (mean, median, mode)
  • Variance, standard deviation
  • Correlation and regression basics
  • Probability concepts
  • When & how to use basic statistical tools
Module 8: Business Insights & Reporting
  • Turning numbers into insights
  • KPI building
  • Writing summaries & insights
  • Decision-making frameworks
  • Designing impactful reports
Module 9: Data Storytelling
  • Presenting insights visually
  • Structuring a data-driven narrative
  • Understanding your audience
  • Creating compelling visuals and summaries
  • Enhancing presentations with dashboards
Module 10: Capstone Project

Learners apply all skills learned by working on a full project:

  • Clean and prepare a dataset
  • Analyse trends and KPIs
  • Create visualisations and dashboards
  • Build a final report with insights

Present findings to stakeholders

This course is ideal for:

  • Beginners in data analytics who want to develop a strong understanding of how to collect, clean, and analyze data for decision-making.

  • Students and early-career professionals seeking to build a foundation in business intelligence and Excel-based data analysis.

  • Administrative and operations personnel who manage reports, KPIs, and performance dashboards.

  • Team leaders and coordinators looking to enhance analytical capabilities and improve data-driven communication.

  • Individuals transitioning into analytics, finance, or research roles who need practical, structured learning in core data handling and visualization techniques.

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

  • Understand data types, data sources, and analysis techniques
  • Clean, organise, prepare, and validate datasets
  • Use Excel, SQL, and BI tools for analysis
  • Perform statistical and exploratory data analysis
  • Create charts, dashboards, and KPIs
  • Identify patterns, trends, correlations, and insights
  • Use Power BI/Tableau for data visualisation
  • Build data-driven business reports
  • Apply storytelling and presentation techniques to communicate findings
WHO SHOULD TAKE THIS COURSE?

The course is ideal for:

  • Students and fresh graduates
  • Business professionals (HR, finance, marketing, operations)
  • Managers and team leads
  • Analysts, coordinators, administrators
  • Entrepreneurs and freelancers
  • Anyone starting a career in data analytics

Assessment includes:

  • Quizzes
  • Hands-on assignments
  • A final capstone project
  • Practical data analysis tasks

Upon completion, learners receive a Data Analysis Certificate.

CAREER OUTCOMES

After completing this course, you can pursue roles such as:

  • Data Analyst
  • Business Analyst
  • Reporting Analyst
  • Operations Analyst
  • Power BI/Tableau Analyst
  • Market Research Analyst
  • HR/Finance/Marketing Analyst

accredited by

The Electrical Work Permit Training is accredited and delivered by BGMC Group, a globally recognized provider of professional health, safety, and technical training solutions.

Examination & Certification

The course concludes with an assessment to ensure participants understand safe electrical work practices, isolation procedures, and permit-to-work protocols.

Duration:

  • Online Instructor-Led Training: 1 Day (Intensive session)

  • Classroom Training: 1 Day (Full-day workshop with demonstrations)

  • Self-Paced Online Learning: Approximately 6–8 study hours

Module 1: Advanced Data Analytics Concepts

  • Review of foundational data analysis principles.

  • Understanding the analytical process from data sourcing to interpretation.

  • Key differences between descriptive, diagnostic, and predictive analytics.

Module 2: Data Preparation and Quality Management

  • Advanced data cleaning techniques using Excel, Power BI, and Python.

  • Managing missing values, outliers, and data inconsistencies.

  • Data validation and quality assurance for large datasets.

Module 3: Statistical Analysis and Correlation Techniques

  • Applying advanced statistical methods for decision-making.

  • Understanding correlation, covariance, and hypothesis testing.

  • Using regression models to identify trends and relationships.

Module 4: Predictive and Diagnostic Analytics

  • Building predictive models with regression and classification algorithms.

  • Introduction to supervised and unsupervised learning.

  • Applying diagnostic analytics to identify root causes and performance patterns.

Module 5: Data Visualization and Dashboard Development

  • Creating advanced dashboards in Power BI or Tableau.

  • Designing interactive visual reports for stakeholder communication.

  • Customizing visuals for KPI tracking and performance analysis.

Module 6: Business Intelligence (BI) Applications

  • Integrating analytics into business operations and strategy.

  • Leveraging BI tools to support strategic and operational planning.

  • Real-world applications in finance, marketing, and supply chain.

Module 7: Case Studies and Practical Exercises

  • Working with real-world datasets for insight generation.

  • Step-by-step analysis of complex data problems.

  • Presenting analytical findings to non-technical audiences.

Module 8: Capstone Project

  • Independent or group project involving advanced data analysis tasks.

  • Data collection, preparation, analysis, and visualization.

  • Final project presentation and instructor feedback.

The Certified Advanced Data Analysis – Practitioner Level course is designed for professionals who already possess foundational knowledge of data analytics and want to advance their technical and analytical expertise. It bridges the gap between basic understanding and real-world analytical application, making it ideal for those ready to work independently on complex datasets and business problems.

This course is particularly suited for:

  • Data Analysts and Reporting Specialists aiming to strengthen their analytical depth and practical modeling skills.

  • Business Intelligence Professionals looking to enhance their ability to build interactive dashboards and derive insights from large data volumes.

  • Finance, Operations, and Marketing Executives who use analytics to support evidence-based strategic decisions.

  • IT and Systems Professionals integrating analytics into business tools and digital transformation projects.

  • Researchers and Academics applying statistical techniques to data-driven studies.

  • Aspiring Data Scientists preparing for advanced analytical certifications or roles requiring Python, Power BI, or Tableau skills.

By completing this course, participants will gain hands-on experience in managing, analyzing, and visualizing complex datasets — enabling them to make informed, data-driven business decisions and support organizational growth.

The Certified Advanced Data Analysis – Practitioner Level course provides a comprehensive, hands-on learning experience designed to deepen participants’ analytical capabilities and technical confidence. The program blends expert instruction with applied projects and real-world datasets to ensure practical competence in data analytics.

This course includes:

  • Expert-Led Training Sessions – Delivered by certified data analytics professionals with industry experience in business intelligence and visualization.

  • Comprehensive Study Material – Covering advanced topics in statistical analysis, predictive modeling, and data visualization.

  • Practical Workshops – Real-time sessions focusing on regression analysis, Power BI dashboards, and analytical automation.

  • Case Studies & Projects – Real-world examples from finance, marketing, supply chain, and operations analytics.

  • Downloadable Templates & Tools – Ready-to-use Excel, Power BI, and Python templates for professional data handling.

  • Knowledge Assessments – End-of-module quizzes and guided assignments to track understanding and progress.

  • Capstone Project Support – Personalized mentoring for final analytical project preparation and presentation.

  • BGMC Certificate of Completion – Recognizing successful completion and demonstrating proficiency at practitioner level.

  • Post-Training Mentorship – Continued guidance from BGMC trainers to apply advanced data analysis skills in real-world contexts.

Examination & Certification

The Certified Advanced Data Analysis – Practitioner Level course concludes with a structured evaluation designed to assess both theoretical understanding and practical application of advanced analytical techniques. The assessment focuses on real-world data interpretation, visualization, and decision-support problem solving.

Assessment Format:

  • Written Assessment: Multiple-choice and case-based questions covering advanced analytics, data modeling, and visualization concepts.

  • Practical Project: Hands-on analysis of a provided dataset to demonstrate application of regression models, dashboard creation, and interpretation of insights.

  • Duration: Approximately 60–90 minutes (including project submission).

Certification:
Upon successful completion, participants will be awarded the BGMC Certificate of Completion in Certified Advanced Data Analysis – Practitioner Level.

This certification confirms the participant’s ability to:

  • Analyze complex datasets using statistical and visualization tools.

  • Apply predictive and diagnostic analytics techniques to real-world business problems.

  • Create dynamic dashboards for data-driven decision-making.

  • Demonstrate advanced proficiency aligned with global data analysis standards.

accredited by

The Electrical Work Permit Training is accredited and delivered by BGMC Group, a globally recognized provider of professional health, safety, and technical training solutions.

Examination & Certification

The course concludes with an assessment to ensure participants understand safe electrical work practices, isolation procedures, and permit-to-work protocols.

Duration:

  • Online Instructor-Led Training: 1 Day (Intensive session)

  • Classroom Training: 1 Day (Full-day workshop with demonstrations)

  • Self-Paced Online Learning: Approximately 6–8 study hours

Module 1: Strategic Role of Data Analytics in Business

  • Understanding how analytics drives strategic and operational excellence.

  • Aligning data analytics with organizational goals and decision-making frameworks.

  • Integrating business intelligence into enterprise performance systems.

Module 2: Advanced Statistical and Predictive Modelling

  • Applying multivariate regression, ANOVA, and time series forecasting.

  • Understanding model validation, confidence intervals, and predictive accuracy.

  • Hands-on exercises using Excel, Power BI, and Python for advanced analytics.

Module 3: Machine Learning for Business Insights

  • Introduction to supervised and unsupervised learning in practical business contexts.

  • Building predictive and classification models using decision trees, random forest, and clustering.

  • Evaluating model performance and optimizing analytical outputs.

Module 4: Data Visualization Mastery

  • Designing data dashboards for executive-level decision-making.

  • Custom visuals, storytelling with data, and effective communication of insights.

  • Power BI and Tableau advanced functions for automation and interactivity.

Module 5: Big Data and Cloud Analytics

  • Understanding the fundamentals of big data frameworks and storage systems.

  • Using cloud-based tools for scalable analytics (Power BI Service, Google Data Studio, or AWS QuickSight).

  • Introduction to real-time data streaming and IoT analytics.

Module 6: Data Governance, Privacy, and Ethics

  • Understanding data integrity, compliance, and ethical considerations in analytics.

  • Implementing governance frameworks for data accuracy and reliability.

  • GDPR and ISO/IEC 27001 data protection essentials for analysts.

Module 7: Business Case Development and ROI Measurement

  • Converting data insights into actionable business strategies.

  • Measuring ROI and impact of data-driven decisions.

  • Presenting analytical reports to stakeholders and executives.

Module 8: Capstone Project

  • A full-cycle project integrating data collection, analysis, visualization, and presentation.

  • Students will use real-world data to solve a business problem and present recommendations.

  • Individual evaluation based on analytical quality, creativity, and impact.

The Certified Advanced Data Analysis – Professional Level course is designed for mid- to senior-level professionals seeking to master data analytics at a strategic and technical depth. It is ideal for those who already possess hands-on experience with analytical tools and now aim to lead data-driven decision-making within their organizations.

This course is especially suited for:

  • Data Analysts and Senior Business Analysts ready to expand into advanced modeling and machine learning applications.

  • Business Intelligence Professionals and Data Managers overseeing analytical reporting and dashboard systems.

  • Project Managers and Department Heads integrating analytics into performance and process improvement strategies.

  • Financial, Marketing, and Operations Executives responsible for analytical interpretation of organizational data.

  • IT Professionals and Data Engineers managing data pipelines, automation, and analytics infrastructure.

  • Consultants and Strategy Professionals using data to support business transformation and forecasting.

By completing this program, participants will gain advanced analytical, visualization, and predictive modeling capabilities — enabling them to transform raw data into actionable insights that directly influence strategic outcomes.

The Certified Advanced Data Analysis – Professional Level course offers a complete, hands-on training experience that integrates advanced analytics, predictive modeling, and strategic reporting techniques. Participants gain access to comprehensive resources, real-world projects, and professional guidance to master complex analytical tools.

This course includes:

  • Expert-Led Instruction – Delivered by certified data analytics specialists with deep experience in predictive modeling, BI systems, and enterprise analytics.

  • Advanced Learning Material – Covering statistical modeling, machine learning applications, and big data integration.

  • Real-World Case Studies – Analysis of complex data problems from business, finance, and operations to develop decision-driven insights.

  • Interactive Workshops – Practice using Power BI, Tableau, Python, and Excel for predictive modeling and visualization.

  • Practical Assignments & Capstone Project – Real dataset challenges for hands-on skill demonstration and portfolio development.

  • Downloadable Resources – Templates, datasets, Python scripts, and visualization models for continued learning.

  • Knowledge Assessments – Periodic quizzes and applied tests to evaluate learning outcomes.

  • BGMC Certificate of Completion – Recognized credential demonstrating advanced data analytics proficiency.

  • Post-Course Mentorship – Continued access to BGMC’s expert trainers for analytical career and project guidance.

The Certified Advanced Data Analysis – Professional Level course concludes with a comprehensive evaluation designed to assess advanced analytical proficiency, strategic insight, and practical problem-solving ability. Participants will demonstrate both technical expertise and business application skills through a structured assessment.

Assessment Format:

  • Written Assessment: Advanced multiple-choice and scenario-based questions covering predictive modeling, visualization strategy, and business analytics application.

  • Capstone Project: A data-driven case study requiring participants to design a predictive model, create a dashboard, and present actionable insights.

  • Duration: Approximately 90–120 minutes, including project submission and presentation.

Certification:
Upon successful completion, participants will receive the BGMC Certificate of Completion in Certified Advanced Data Analysis – Professional Level.

This certification validates the participant’s ability to:

  • Manage end-to-end analytical projects using advanced statistical and machine learning techniques.

  • Translate data insights into strategic business recommendations.

  • Build automated dashboards and models to support executive decision-making.

  • Apply ethical, compliant, and governance-aligned practices in advanced analytics.

accredited by

The Electrical Work Permit Training is accredited and delivered by BGMC Group, a globally recognized provider of professional health, safety, and technical training solutions.

Examination & Certification

The course concludes with an assessment to ensure participants understand safe electrical work practices, isolation procedures, and permit-to-work protocols.

Duration:

  • Online Instructor-Led Training: 1 Day (Intensive session)

  • Classroom Training: 1 Day (Full-day workshop with demonstrations)

  • Self-Paced Online Learning: Approximately 6–8 study hours

Module 1: Strategic Data Science and Enterprise Analytics

  • Integrating analytics into corporate strategy and transformation.

  • Building data-driven cultures and aligning analytical functions with business goals.

  • Enterprise-level data architecture, governance, and reporting models.

Module 2: Advanced Machine Learning and AI Applications

  • Deep dive into predictive, prescriptive, and adaptive learning systems.

  • Developing neural network models using Python and modern ML libraries.

  • Forecasting and optimization techniques for real-time decision support.

Module 3: Big Data Infrastructure and Automation

  • Implementing scalable analytics systems using cloud platforms (AWS, Azure, Google Cloud).

  • Automating data pipelines and real-time reporting systems.

  • Introduction to data lake, data warehouse, and ETL process management.

Module 4: Data Ethics, Security, and Compliance

  • Managing ethical challenges in AI and analytics deployment.

  • Data privacy, protection, and compliance under GDPR and ISO/IEC 27701.

  • Risk mitigation and governance in enterprise analytics environments

Module 5: Advanced Visualization and Storytelling with Data

  • Building executive dashboards with advanced visualization techniques.

  • Visual narrative design and KPI alignment for leadership reporting.

  • Crafting persuasive data stories for strategic presentations.

Module 6: Analytical Leadership and Decision Science

  • Leading analytical teams and managing complex data initiatives.

  • Applying behavioral analytics and decision modeling in strategy.

  • Communicating analytics outcomes effectively to non-technical stakeholders.

Module 7: Emerging Technologies and Future Trends

  • Integrating AI, IoT, blockchain, and edge analytics into business solutions.

  • Understanding automation, robotics, and sustainability analytics.

  • Preparing for next-generation analytical innovation and digital transformation.

Module 8: Expert Capstone Project

  • Individual or group project addressing a real-world organizational data challenge.

  • Designing a full analytics solution from problem definition to presentation.

  • Evaluation based on innovation, business impact, and analytical excellence.

The Certified Advanced Data Analysis – Expert Level course is tailored for experienced data professionals, business leaders, and strategists who are responsible for designing, leading, or governing large-scale analytics programs. This level is intended for individuals who already possess strong technical expertise and now aim to integrate advanced analytics into organizational strategy and digital transformation initiatives.

This course is particularly suited for:

  • Senior Data Analysts, Scientists, and Engineers leading analytical teams or enterprise data projects.

  • Business Intelligence Managers and Analytics Directors responsible for implementing AI-driven strategies across departments.

  • Consultants and Strategy Advisors integrating advanced analytics into business performance improvement models.

  • Chief Data Officers (CDOs) and Decision Science Leaders overseeing enterprise analytics, governance, and innovation.

  • IT and Technology Managers implementing big data, machine learning, and automation systems.

  • Academics and Researchers exploring advanced modeling, AI, and digital transformation analytics.

By completing this program, participants will possess the leadership capability, technical mastery, and strategic mindset required to architect, manage, and scale data-driven ecosystems across modern organizations.

The Certified Advanced Data Analysis – Expert Level course delivers a world-class learning experience that blends advanced technical mastery with strategic leadership development. Participants gain access to comprehensive materials, real-world projects, and global best practices to achieve excellence in enterprise analytics and data-driven decision-making.

This course includes:

  • Elite Instructor-Led Sessions – Conducted by senior data scientists and analytics strategists with global experience in enterprise data transformation.

  • Comprehensive Learning Resources – Covering AI-driven analytics, big data infrastructure, machine learning systems, and governance frameworks.

  • Hands-On Machine Learning Labs – Practical exercises using Python, Power BI, and cloud-based tools for deep analytical modeling and automation.

  • Enterprise Case Studies – Real-world projects from leading organizations demonstrating analytics-driven growth and optimization.

  • Advanced Analytical Toolkits – Access to custom templates, scripts, dashboards, and predictive modeling resources.

  • Knowledge Checks & Assignments – Scenario-based assessments to reinforce strategic and technical learning.

  • Expert Capstone Project – End-to-end analytical project addressing real business challenges with measurable outcomes.

  • BGMC Certificate of Completion – Internationally recognized certification validating your mastery of enterprise-level analytics.

  • Post-Course Consultation – Continued mentorship and professional guidance from BGMC experts for strategic analytics implementation.

The Certified Advanced Data Analysis – Expert Level course concludes with an advanced assessment designed to evaluate participants’ strategic, technical, and analytical leadership capabilities. The evaluation emphasizes real-world problem solving, innovation, and the ability to manage enterprise-level data solutions effectively.

Assessment Format:

  • Comprehensive Written Assessment: Analytical case scenarios and technical questions covering AI integration, big data architecture, predictive modeling, and governance.

  • Expert Capstone Project: Participants will complete a complex real-world analytics project involving data extraction, model building, automation, and strategic presentation to a review panel.

  • Duration: Approximately 120–150 minutes, including project preparation and presentation.

Certification:
Upon successful completion, participants will be awarded the BGMC Certificate of Completion in Certified Advanced Data Analysis – Expert Level.

This globally recognized certification verifies that the participant has achieved the capability to:

  • Design, lead, and manage large-scale data analytics systems within enterprise environments.

  • Apply AI and machine learning techniques for business intelligence and predictive performance.

  • Establish data governance, ethical compliance, and sustainable analytics practices.

  • Communicate analytical insights effectively to executive and strategic leadership teams.

accredited by

The Electrical Work Permit Training is accredited and delivered by BGMC Group, a globally recognized provider of professional health, safety, and technical training solutions.

Examination & Certification

The course concludes with an assessment to ensure participants understand safe electrical work practices, isolation procedures, and permit-to-work protocols.

Duration:

  • Online Instructor-Led Training: 1 Day (Intensive session)

  • Classroom Training: 1 Day (Full-day workshop with demonstrations)

  • Self-Paced Online Learning: Approximately 6–8 study hours

Module 1: Advanced Enterprise Analytics Strategy

  • Leading data-driven transformations across organizations.

  • Aligning analytics initiatives with corporate strategy and operational goals.

  • Measuring business impact and ROI of advanced analytics projects.

Module 2: AI and Deep Learning Applications

  • Implementing neural networks, deep learning, and advanced AI models.

  • Applying AI for predictive, prescriptive, and prescriptive-adaptive decision-making.

  • Evaluating model performance, optimization, and scalability in enterprise settings.

Module 3: Big Data Architecture and Cloud Integration

  • Designing large-scale data infrastructure using cloud platforms (AWS, Azure, GCP).

  • Building real-time analytics pipelines and automated ETL workflows.

  • Managing structured, semi-structured, and unstructured data efficiently.

Module 4: Governance, Ethics, and Data Compliance

  • Implementing enterprise-level data governance frameworks.

  • Ensuring data privacy, security, and regulatory compliance (GDPR, ISO 27701).

  • Ethical considerations and bias mitigation in advanced analytics.

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Module 5: Advanced Data Visualization and Executive Reporting

  • Designing interactive, executive-level dashboards for strategic insights.

  • Data storytelling for decision-makers, aligning KPIs with organizational objectives.

  • Automation and integration of reporting systems across departments.

Module 6: Decision Science and Predictive Strategy

  • Using behavioral analytics and scenario modeling to support strategic planning.

  • Predictive simulations for resource allocation, risk management, and operational optimization.

  • Linking analytical outcomes to corporate decision-making frameworks.

Module 7: Emerging Technologies and Innovation in Analytics

  • Integration of IoT, blockchain, robotics, and edge computing in enterprise analytics.

  • Harnessing emerging tools for predictive maintenance, sustainability analytics, and automation.

  • Evaluating trends in AI and analytics for future-ready strategies.

Module 8: Master Capstone Project

  • End-to-end project incorporating enterprise datasets, predictive models, and executive dashboards.

  • Strategic presentation of insights, actionable recommendations, and business impact.

  • Individual evaluation by BGMC expert panel based on innovation, analytical rigor, and practical applicability.

The Certified Advanced Data Analysis – Master Level course is designed for senior professionals, data leaders, and executives who are responsible for designing, governing, and implementing enterprise-scale analytics initiatives. This program is tailored for individuals aiming to leverage advanced AI, machine learning, and big data for strategic decision-making and organizational transformation.

This course is particularly suited for:

  • Chief Data Officers (CDOs) and Analytics Directors overseeing enterprise-wide data strategy.

  • Senior Data Scientists and Analytics Managers managing advanced predictive and prescriptive modeling projects.

  • Business Intelligence and Strategy Leaders integrating analytics into operational and strategic decision-making.

  • IT Architects and Data Engineers designing and scaling data infrastructure and cloud-based analytics pipelines.

  • Consultants and Advisors delivering enterprise analytics solutions to clients.

  • Executives and Decision-Makers using insights from advanced analytics to drive organizational growth and innovation.

By completing this program, participants will gain the strategic insight, technical expertise, and leadership capability to architect, lead, and manage analytics ecosystems that generate measurable business impact and drive data-driven transformation.

The Certified Advanced Data Analysis – Master Level course delivers a comprehensive, executive-level learning experience that blends advanced technical mastery, strategic decision-making, and leadership in enterprise analytics. Participants gain access to world-class resources, real-world projects, and mentorship from senior analytics experts.

This course includes:

  • Expert-Led Instruction – Delivered by globally experienced data scientists and analytics strategists specializing in AI, predictive modeling, and enterprise-scale analytics.

  • Comprehensive Learning Resources – Covering advanced AI, machine learning, big data architecture, predictive analytics, and decision science.

  • Hands-On Practical Labs – Real-world exercises using Python, Power BI, Tableau, and cloud analytics platforms for end-to-end problem solving.

  • Enterprise Case Studies – Projects based on real organizational data challenges, focusing on ROI, operational improvement, and innovation.

  • Advanced Analytical Toolkits – Templates, dashboards, scripts, and pre-configured datasets for professional use.

  • Capstone Project – End-to-end enterprise analytics project demonstrating strategic application and business impact.

  • Knowledge Checks and Assessments – Scenario-based evaluations and practical exercises to validate expertise.

  • BGMC Certificate of Completion – Recognized credential verifying mastery of advanced analytics at the executive level.

  • Post-Course Mentorship – Continued access to BGMC expert guidance for implementation, strategic application, and career advancement.

Examination & Certification

The Certified Advanced Data Analysis – Master Level course concludes with a comprehensive assessment designed to evaluate participants’ strategic, technical, and analytical leadership capabilities. The evaluation emphasizes the ability to apply advanced analytics, AI, and predictive modeling to real-world enterprise challenges.

Assessment Format:

  • Written Assessment: Scenario-based questions covering advanced AI, machine learning, predictive analytics, and decision science.

  • Master Capstone Project: End-to-end project involving enterprise datasets, predictive modeling, dashboards, and actionable business recommendations.

  • Duration: Approximately 120–150 minutes, including project preparation and presentation.

Certification:
Upon successful completion, participants will receive the BGMC Certificate of Completion in Certified Advanced Data Analysis – Master Level.

This globally recognized certification confirms that the participant:

  • Can design, lead, and manage enterprise-level data analytics initiatives.

  • Is proficient in AI, machine learning, and predictive modeling applications.

  • Can translate complex data into actionable insights for strategic decision-making.

  • Maintains ethical, governance-aligned, and compliant analytics practices across organizational functions.

accredited by

The Electrical Work Permit Training is accredited and delivered by BGMC Group, a globally recognized provider of professional health, safety, and technical training solutions.

Examination & Certification

The course concludes with an assessment to ensure participants understand safe electrical work practices, isolation procedures, and permit-to-work protocols.

Duration:

  • Online Instructor-Led Training: 1 Day (Intensive session)

  • Classroom Training: 1 Day (Full-day workshop with demonstrations)

  • Self-Paced Online Learning: Approximately 6–8 study hours

Module 1: Review of Core Data Analysis Concepts

  • Revisiting foundational data analytics principles.

  • Summary of data cleaning, statistical methods, and basic visualization techniques.

  • Key updates in data analysis tools and software.

Module 2: Advanced Analytics Refresher

  • Review of predictive and diagnostic analytics concepts.

  • Applying regression, correlation, and forecasting techniques to business scenarios.

  • Case studies highlighting common challenges and solutions.

Module 3: Data Visualization and Reporting

  • Revisiting dashboard design, interactive visuals, and reporting standards.

  • Best practices for presenting insights to stakeholders.

  • Updates in Excel, Power BI, and Tableau visualization features.

Module 4: Machine Learning and Predictive Analytics Refresher

  • Overview of supervised and unsupervised learning applications.

  • Revisiting model building, evaluation, and validation techniques.

  • Addressing common pitfalls and optimization strategies.

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Module 5: Data Governance and Compliance Updates

  • Key updates in data privacy, security, and governance frameworks.

  • Refresher on ethical considerations in data analytics.

  • Aligning analytical practices with current regulations and standards.

Module 6: Practical Exercises and Case Studies

  • Hands-on exercises revisiting real-world data challenges.

  • Applying refresher knowledge to evaluate, clean, and analyze datasets.

  • Group discussions and scenario-based problem solving.

Module 7: Capstone Project / Assessment

  • Short practical project to apply updated analytics concepts.

  • Submission and presentation of findings with instructor feedback.

  • Reinforcement of key learning outcomes from prior courses.

The Certified Advanced Data Analysis – Refresher Training course is designed for professionals who have previously completed any level of the Certified Advanced Data Analysis program and wish to update their knowledge with the latest tools, techniques, and best practices in analytics.

This course is particularly suitable for:

  • Data Analysts and BI Professionals seeking to refresh their skills and stay current with industry standards.

  • Practitioners of the Foundation, Practitioner, or Professional Levels who need to update their understanding of analytics tools and methodologies.

  • Managers and Team Leaders who rely on data-driven insights for operational and strategic decisions.

  • Consultants and Advisors maintaining expertise in advanced analytics for client solutions.

  • Executives and Decision-Makers ensuring their teams are aligned with the latest analytical practices.

By completing this course, participants will regain confidence in applying analytics principles, tools, and techniques effectively, ensuring up-to-date proficiency in the field of data analysis.

The Certified Advanced Data Analysis – Refresher Training course provides a comprehensive update on analytics principles, techniques, and tools to ensure participants maintain professional competence and confidence.

This course includes:

  • Instructor-Led Refresher Sessions – Conducted by certified analytics experts with extensive industry experience.

  • Updated Learning Materials – Covering refreshed concepts in statistical analysis, predictive modeling, and visualization.

  • Practical Exercises and Case Studies – Hands-on activities with real-world datasets to apply refreshed knowledge.

  • Templates, Dashboards, and Tools – Updated resources for Excel, Power BI, Tableau, and Python applications.

  • Knowledge Checks and Assessments – Short quizzes and exercises to reinforce understanding of key concepts.

  • BGMC Certificate of Completion – Recognizing continued proficiency and updated analytics skills.

  • Post-Training Support – Continued access to BGMC mentors for guidance in applying refreshed skills in professional contexts.

Examination & Certification

The Certified Advanced Data Analysis – Refresher Training course concludes with a short assessment to verify participants’ understanding of updated analytics concepts and practical application.

Assessment Format:

  • Written Assessment: Multiple-choice and scenario-based questions covering refreshed topics in data analysis, visualization, and predictive modeling.

  • Practical Exercise: A hands-on task applying refreshed analytical techniques to a dataset or scenario.

  • Duration: Approximately 30–45 minutes

Certification:
Upon successful completion, participants will receive the BGMC Certificate of Completion in Certified Advanced Data Analysis – Refresher Training.

This certification confirms that the participant:

  • Maintains up-to-date proficiency in analytics principles, tools, and techniques.

  • Can apply refreshed skills to solve real-world data challenges.

  • Is capable of contributing effectively to data-driven decision-making and business insights.

Maximize Your Investment with Electrical Safety Training Bundles

Our training specialists have designed a comprehensive range of Electrical Safety and Permit-to-Work (PTW) bundles to enhance your professional growth. Each bundle combines essential electrical safety certifications, practical PTW modules, and expert-led sessions. These bundles help you strengthen workplace safety standards while enjoying exclusive discounted rates, making it a cost-effective and efficient way to upskill your team.

PHYSICAL CLASSES

Face-to-face, classroom-based, instructor-led learning.
₨2,261,224.06
  • Instructor-led training
  • Advanced analytics
  • Case studies
  • Certificate support
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Online Classes

Flexible, accessible, self-paced digital learning.
₨1,884,039.06
  • Live virtual sessions
  • Interactive analysis
  • Digital materials
  • Certificate support
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Enterprise Solutions

Scalable, structured, organization-wide learning solutions.

Contact For Price

  • Team programs
  • Custom training
  • Progress tracking
  • Cost-effective plans
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E-LEARNING

Customized, on-site, instructor-led team training.
₨150,496.81
  • Self-paced learning
  • Full access
  • Practical exercises
  • Completion certificate
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PHYSICAL CLASSES

Face-to-face, classroom-based, instructor-led learning.
₨2,261,224.06
  • Instructor-led training
  • Advanced analytics
  • Case studies
  • Certificate support
Enquire now

Online Classes

Flexible, accessible, self-paced digital learning.
₨1,884,039.06
  • Live virtual sessions
  • Interactive analysis
  • Digital materials
  • Certificate support
Enquire now

E-learning

Customized, on-site, instructor-led team training.
₨150,496.81
  • Self-paced learning
  • Full access
  • Practical exercises
  • Completion certificate
Enquire now

Enterprise Solutions

Scalable, structured, organization-wide learning solutions.

Contact For Price

  • Team programs
  • Custom training
  • Progress tracking
  • Cost-effective plans
Enquire now

Not Sure Which Course is Right for You?

Our training experts are here to help you make the right choice. If you’re unsure which NEBOSH course best fits your experience level or career goals, our team will guide you step-by-step.

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Why Choose BGMC Permit To Work (PTW) – Awareness Level Training

Globally Recognized:
Trusted by industries worldwide, BGMC’s PTW Awareness Training follows international safety and permit control standards to ensure participants gain industry-relevant knowledge.

Comprehensive Learning:
Covers the essentials of Permit-to-Work systems, including types of permits, authorization processes, documentation requirements, and safe work practices.

Career Boost:
Strengthen your role in safety management and operations with practical PTW knowledge valued by employers globally.

Hands-On Application:
Develop real-world skills through case studies and simulated exercises to execute permits safely in the workplace.

Progression Path:
This course lays a strong foundation for advanced training, including PTW Practitioner, Electrical Work Permit, and Confined Space Entry Training, preparing participants for higher-level operational responsibilities.

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Certified Advanced Data Analysis – Awareness Level – Frequently Asked Questions

1. What is the Certified Advanced Data Analysis – Awareness Level Course?

A foundational training that provides participants with essential knowledge of advanced data analysis principles, ensuring they understand core concepts, tools, and techniques for data-driven decision-making.

  • Introduction to data analysis concepts

  • Data visualization basics

  • Statistical and analytical methods overview

  • Key tools for data handling and reporting

  • Best practices for accurate data interpretation

    • Develop foundational data analysis skills

    • Gain confidence in interpreting and visualizing data

    • Prepare for more advanced levels of data analysis training

    • Globally recognized by employers seeking data-literate professionals

  •  

  • Core data analysis techniques

  • How to collect, clean, and organize data effectively

  • Fundamental visualization methods to present insights clearly

  • Practical understanding of data-driven decision-making

Yes, this course is designed for beginners or professionals looking to strengthen their foundational data analysis knowledge.
No prior qualifications are required. The course is open to anyone interested in building a strong foundation in data analysis.
Yes, the course is available in flexible learning formats, including online self-paced and instructor-led sessions.
Yes, the course concludes with a short assessment to validate understanding of key data analysis concepts and tools.
Depending on the learning format, the course typically takes half a day to one full day to complete.
BGMC offers expert instructors, hands-on practical exercises, and globally recognized content that equips learners with essential skills for real-world data analysis applications.
Training is available online, instructor-led virtual sessions, or classroom-based at BGMC centers globally.

Why we're the go to training provider for you

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Trusted & Approved

Recognised by leading certification bodies, we deliver training you can trust.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

Success Stories To Inspire

Waseem Shahzad Mehar

Alhamdulillah! I’m delighted to share that I’ve earned my Lean Six Sigma Black Belt Certification from the International Lean Six Sigma Institute (ILSSI).

Hammad Jamshaid

I’m pleased to share that I’ve successfully obtained my PMP® Certification Training – 35 PDUs Certificate from BGMC – Bilal Consultancy Limited!

Engr. Ibrahim Shahid

I’m thrilled to announce that I’ve successfully achieved the NEBOSH International General Certificate in Occupational Health and Safety.

Arslan Aslam

I’m pleased to share that I’ve successfully earned my ISO 9001:2015 Lead Auditor Certification. Grateful to BGMC – Bilal Consultancy Limited for the valuable training and to Dr. Hakeem Ur Rehman for his guidance and support throughout this journey.

Masooma Bakhtawar

I’m pleased to share that I have successfully completed the ISO 45001:2018 Occupational Health and Safety Management System Lead Auditor Certification.

Sunday Odibo

Proud to be certified as a Lead Auditor for ISO 45001:2018 – Occupational Health and Safety Management System, accredited by Exemplar Global, USA.

Muhammad Usman

We are proud to recognize his achievement in Lean Six Sigma, accredited by the Council for Six Sigma Certification (CSSC), United States us.

Imtiaz Ahmad

We’re proud to celebrate the achievement of Mr. Imtiaz Ahmad, QA/QC Engineer at Built Industrial, Riyadh, for successfully completing the Lean Six Sigma Black Belt Certification!

Muhammad Usman

Muhammad Usman successfully completed the ISO 9001:2015 Quality Management System Lead Auditor Training, accredited by Exemplar Global - USA 🇺🇸 and facilitated by BGMC - Bilal Consultancy Limited

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