AI for Administration

Master data governance, enhance data literacy, and communicate effectively using AI for informed decision-making.

1200+ Students enrolled

Enrollment from 01.08.2024 to 30.08.2024

Course Objective

The objective of this course is to empower administrators working in the public and private sectors with the skills to understand and implement data governance, enhance data literacy, and improve communication. The person will get a basic understanding of Data, and then, with further lectures on how to communicate data to stakeholders, we aim to give you a profound understanding of pivotal domains such as data management, the use of Artificial Intelligence to the best of your work, and effective communication strategies.

Armed with this comprehensive knowledge, our participants will be equipped to navigate complex data landscapes and articulate their insights with precision and clarity.

What to expect from this Course

Course Content

Module 1: Data Literacy

  • Introduction to Data Literacy and Data
  • Definition and Characteristics of Data
  • Types of Data: Structured, Unstructured, Semi-Structured
  • Examples of Data in Various Contexts (e.g.,Administration, public policy, Healthcare)
  • Data Collection and Sources
  • Methods of Data Collection: Observations, International Data Collection Techniques,Surveys, Interviews
  • Primary and Secondary Data Sources
  • Understanding Bias and Reliability in Data Collection, Bias and Reliability

Module 2: Data Communication

  • Data Ethics and Privacy
  • Understanding Data Privacy and Security
  • Ethical Considerations in Data Collection, Analysis, and Sharing
  • Real-world Applications of Data Literacy
  • Case Studies: Examples of Data Literacy in Different Industries (e.g., Marketing, Healthcare, Education)
  • Introduction to Data Communication
  •  Importance of effective data communication in decision-making.


Understanding Data Interpretation

  • Identifying trends, patterns, outliers, and correlations in data.
  • Explaining the significance of findings to stakeholders.
  • Storytelling with Data
  • Emphasizing the importance of narrative structure in data communication.
  • Structuring presentations or reports in a narrative format.
  • Data Narrative Techniques
  • Crafting compelling data narratives using anecdotes, case studies, and real-world examples.
  • Data Communication Best Practices
  •  Effective Techniques of Storytelling.
  • Helping stakeholders understand the importance of the data.

Module 3: Data Governance

  • What is Data Governance and its Implications
  • Governance Framework design
  • Governance Roles
  • Implementing your data Governance policy

Module 4: Drafting With AI

  •  Using AI Tools to make work efficient and easier
  • Understanding the right commands to get the best output from generative AI tools
  • Drafting with the Help of AI techniques
  • Guidance about the Modern AI Tools.

Module 5: Data-Analytics

  • Learning Data Analytics Tools(Excel,Pivot Tables)
  • Introduction to Data Visualization
  • Principles of Effective Data Visualization
  • Types of Charts and Graphs: Bar Charts, Line Graphs, Pie Charts, Scatterplots
  • Choosing the Right Visualization for Different Types of Data
  • Data Analytics with Power BI (benefits of using Dashboards in your system)
  • Dashboards for Administration usage
  •  Data Representation Techniques


Introduction to Data Analysis

  • Overview of Data Analysis Process
  • Descriptive vs. Inferential Statistics
  • The Process of Analysis with different Tools

About Instructor

Sandy James

CFDE at ISTI

Dynamic teaching style and commitment to student success have garnered her accolades and positive feedback from both students and colleagues.

Enrollment Procedure

i. Pay PKR 40,000 Fee through Bank or Online

Title of Account : Republic Policy
Account No : 03200108192674
Bank: Meezan Bank

ii. Upload Payment Slip or Share Screenshot

Contact us for any Query

Abdullah Kamran
+92 312 7030997

Haroon Assad
+92 334 5865354

PKR 40,000

Full Lifetime Access

Who should attend

Course Details