Certified Data Analytics Professional
A practical program for professionals who want to analyze complex data, discover patterns, generate actionable knowledge, and support strategy, policy, planning, and continuous improvement using modern analytics tools and methods.
Build practical understanding of data analysis methods, statistical foundations, and knowledge discovery.
Practice data cleaning, visualization, and analytics workflows using tools that support real organizational decisions.
Connect analytics outputs with decision-making, policy formulation, long-term planning, and continuous improvement.
From data analysis to actionable knowledge for decisions
The program develops the knowledge, skills, and competencies needed to examine large and complex data, identify meaningful patterns, and transform analytical outputs into practical knowledge for strategic decisions, policy development, planning, and performance improvement.
Focus
This training program explores the methods, procedures, and practices used to examine, scrutinize, and analyze large quantities of complex data.
Participants learn how to discover patterns, identify trends, extract critical insights, and convert data analysis into meaningful knowledge for decision-making.
Methodology
The workshop incorporates lectures, assessments, practical examples, and case studies to build mastery of foundational data analytics principles.
The delivery model combines theory with practical application in Excel, Microsoft Power BI, and Microsoft Azure so participants gain hands-on experience with analytics tools and techniques.
Capabilities participants develop by the end of the program
Upon successful completion, participants will be able to work with data more confidently, apply analytics methods, and use analytical evidence to strengthen decisions and planning.
Exhibit a comprehensive understanding of big data and knowledge.
Demonstrate an understanding of the fundamentals of statistics used in data analytics.
Describe the basic features of supervised learning, unsupervised learning, deep learning, and Generative AI.
Devise and implement efficient and effective data collection methodologies and procedures.
Apply data cleaning and visualization methods using Excel, Microsoft Power BI, and Microsoft Azure.
Employ advanced data analytics and knowledge discovery techniques to support decision-making and planning.
Incorporate Lean Six Sigma and the Plan-Do-Check-Act cycle for continuous improvement in data and knowledge analytics.
Structured for intensive, applied analytics learning
The workshop extends over 8 days, with 3 hours each day of intensive, interactive learning. It is designed for flexible delivery through both online and in-person attendance options.
Designed around practice, tools, and decision support
The learning experience combines analytical foundations, hands-on tool practice, applied case studies, and structured approaches for transforming data into usable knowledge.
Core statistical concepts used to interpret data and support reliable analytics.
Practical approaches for designing efficient and effective data collection procedures.
Applied practice in preparing, structuring, and presenting data for decision-making.
Introduction to supervised learning, unsupervised learning, deep learning, and Generative AI.
Use Lean Six Sigma and Plan-Do-Check-Act thinking to connect analytics with improvement cycles.
Move from raw data to evidence-based decisions
The program supports professionals who want to strengthen analytical capability, improve planning quality, and use data and knowledge analytics as a practical decision-making discipline.
Decision support
Learn how to convert analytical outputs into knowledge that supports strategy, policy, planning, and operational decisions.
Applied tools
Gain hands-on exposure to Excel, Microsoft Power BI, and Microsoft Azure for data cleaning, visualization, and analytics workflows.
Advanced foundations
Build awareness of machine learning, deep learning, and Generative AI as part of a broader analytics capability.
Experienced trainers
Learn from professionals with experience in education, artificial intelligence, analytics, and advanced technologies.
Built for professionals, analysts, researchers, and students
The program is suitable for participants who want to develop practical analytics capability and use data more effectively in business, government, education, research, and professional decision-making contexts.
Professionals in government, business, industry, health, banking, and related sectors who want to deepen their analytics skills and move into more specialized roles.
Learners seeking comprehensive knowledge and skills in data analytics, machine learning, and deep learning.
Professionals who want to strengthen data-driven decision-making through structured analytics methods.
Professionals in functions that deal with data and need stronger skills in analysis, visualization, and insight generation.
Researchers interested in using data analytics methods to support scholarly work and applied research.
Students who want to build data analytics capability and improve career readiness.
For inquiries, registration, cost, and group discounts
Connect with Axosomatic to discuss delivery options, institutional cohorts, professional teams, and customized data analytics training.
Registration Form
Please complete the form below and the Axosomatic team will contact you with course details, delivery options, cost, and group registration support.