Using Data Analytics to Enhance Project Management

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About Course

The Using Data Analytics to Enhance Project Management course explores how data-driven insights can be used to improve planning, execution, and performance in modern project environments.

It equips learners with the knowledge and tools needed to apply data analytics techniques for smarter decision-making, efficient resource allocation, and proactive risk management throughout the project lifecycle.

The course begins by introducing the fundamental concepts of data analytics and project performance measurement, helping participants understand how data can reveal hidden patterns, forecast trends, and evaluate progress in real time. Learners will gain hands-on experience in collecting, interpreting, and visualising project data using accessible analytical tools.

Participants will learn to transform raw project information—such as timelines, budgets, quality metrics, and team performance—into actionable insights that support continuous improvement. The course also highlights how predictive and descriptive analytics can enhance forecasting accuracy and stakeholder communication.

A key component of the Using Data Analytics to Enhance Project Management course focuses on the integration of analytics into agile, traditional, and hybrid project management frameworks, demonstrating how data can support adaptability and informed decision-making. Ethical data practices and governance principles are also covered to ensure responsible and transparent data usage in project environments.

By the end of the programme, learners will possess the analytical mindset and technical proficiency required to optimise project outcomes, improve efficiency, and deliver greater organisational value through evidence-based management.

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What Will You Learn?

  • Understand the role of data analytics in project planning, monitoring, and control.
  • Learn to collect, analyse, and interpret project data for informed decision-making.
  • Apply data visualisation tools to communicate project performance effectively.
  • Use analytics to predict risks, track progress, and enhance stakeholder engagement.
  • Integrate data-driven approaches into various project management methodologies.
  • Develop an understanding of data ethics and governance in project contexts.

Requirements

  • Have a general understanding of project management concepts or prior exposure to project work.
  • Possess basic computer literacy and familiarity with spreadsheets or data tools.
  • Be able to communicate effectively in English.
  • Have access to a computer or laptop with a stable internet connection.
  • Be willing to use introductory data analytics and visualisation tools.

Audience

  • Project Managers and Team Leaders seeking to optimise project performance using analytics.
  • Business Analysts and Data Professionals supporting project evaluation and reporting.
  • Operations and Strategy Managers responsible for resource planning and risk mitigation.
  • Consultants and Entrepreneurs looking to improve project efficiency and stakeholder satisfaction.
  • Researchers and Academics interested in data-informed project management methodologies.
  • Students aspiring to careers in project management, data analytics, or business intelligence.

Course Content

Module 01: Introduction to Data Analytics in Project Management

  • Introduction to Data Analytics in Project Management

Module 02: Fundamentals of Data Collection for Projects

Module 03: Data Cleaning and Preprocessing

Module 04: Descriptive Statistics for Project Insights

Module 05: Data Visualization for Project Reporting

Module 06: Predictive Analytics in Project Management

Module 07: Advanced Statistical Techniques

Module 08: Data-Driven Risk Management

Quizzes of Using Data Analytics to Enhance Project Management

Instructors

Textech Education

Textech Education

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18 Students
20 Courses
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