Certified Data Analytics Professional
This training program delves profoundly and extensively into
the sophisticated methods, detailed procedures, and comprehensive practices
involved in examining, scrutinizing, and thoroughly analyzing vast quantities
of complex big data. The goal is to discover patterns, identify trends, extract
critical insights, and distill significant, meaningful information.
Furthermore, this program places a strong emphasis on the transformation of the
analyzed data and the insights garnered into practical, actionable knowledge for
formulating strategic decisions, developing sound policies, or bolstering
long-term planning initiatives. The course combines theoretical knowledge with practical applications in Excel, MS BI and MS Azure, ensuring participants gain hands-on experience with data analytics tools and techniques applicable to the educational environment
Skills & Competencies
The extensive agenda of the workshop is carefully designed to empower attendees with profound knowledge, skills, and competencies required to efficiently construct and implement methods and procedures to analyze big data and extract knowledge to support decision and planning.
Methodology
This Workshop incorporates an engaging mix of comprehensive lectures, thorough assessments, tangible practical examples, and detailed case studies to equip participants with a robust mastery over the foundational principles and skills pertaining to data analytics.
Learning Outcomes
Upon successful completion of this workshop, attendees will have achieved a high level of proficiency that enables them to:
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 and unsupervised machine learning, deep learning, and Generative AI.
Devise and implement data collection methodologies and procedures that are both efficient and effective.
Apply data cleaning and visualization methods using Excel, MS BI and MS Azure.
Employ advanced Data Analytics and knowledge Discovery techniques to bolster decision making and enhance planning.
Incorporate principles of Lean Six Sigma, and the PDCA (Plan-Do-Check-Act) cycle for continuous improvement data and knowledge analytics.
Duration and Mode of Delivery
The workshop extends over a period of 8 days, featuring 3 hours each day of intensive, interactive learning sessions. It is designed to be accessible and convenient for all by offering both online and in-person attendance options. Participants will be recognized with 24 PDUs (Professional Development Units) for their commitment to professional growth upon completion of the program.
Who Should Attend
Professionals in the private and public sectors (government, business, industries, health, banking, etc.) looking to deepen their skills and move into a more specialized role.
Data Science Enthusiasts willing to get a comprehensive knowledge and skills of data analytics, machine learning, and deep learning.
Business Analysts looking to delve into data analytics for more effective data-driven decision-making.
- Professionals in the area of IT, finance, marketing, and other areas that deal with data.
- Academic Researchers interested in leveraging data analytics for scholarly work and research.
- Graduate and Undergraduate students interested in learning about data analytics to boost their career.