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Data Analytics for Project Management with Excel, R & Python (Udemy.com)

Descriptive, Predictive & Prescriptive Analytics | Data Visualization, Machine Learning & Case Studies

Created by: Dr. Amar Massoud

Last updated June 2026

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What you will learn

  • Understand the fundamentals of data analytics and its application in project management.
  • Develop skills in using data analytics tools and techniques to enhance decision-making and optimize project outcomes.
  • Overcome challenges and resistance in adopting data analytics within project management practices.
  • Create and implement a strategic roadmap for integrating data analytics into project management processes, leading to improved efficiency and success in project
  • Build predictive models using Excel, R, and Python to forecast project outcomes and deadlines

How it compares

Against the other 1,210 rated Udemy courses in Business on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews908#480 of 1,211 by number of reviews
  • Length3 hourslonger than 50% of them
  • Last updatedJune 2026more recently than 74% of them

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Course Description

Data Analytics in Project Management" is an insightful course designed to bridge the gap between traditional project management practices and the emerging field of data analytics. This course is tailored for individuals keen on harnessing the power of data to drive project success. Over the duration of this course, learners will delve into the fundamentals of data analytics, understanding its significance and application in various stages of project management.

Participants will explore a range of topics, including the integration of data analytics into project management processes, strategies for overcoming challenges in adopting data analytics, and the creation of a roadmap for successful implementation. The course also covers advanced topics such as machine learning, AI, and big data analytics, providing a glimpse into the future of data-driven project management.

Through practical examples and hands-on exercises, learners will develop skills in using data analytics tools and techniques to enhance decision-making, optimize resources, and predict project outcomes. The course is structured to cater to both beginners with a basic understanding of project management and experienced professionals seeking to incorporate data analytics into their project management toolkit.

By the end of this course, participants will be equipped with the knowledge and skills to leverage data analytics for improved project efficiency and success, making them valuable assets in any project management team.

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Instructor Details

Dr. Amar Massoud

PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 90+ IT certifications such as :

ITIL 4 Master, ITIL 3 Expert

ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA

PGMP, MSP

PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master

COBIT 2019 Implementor, COBIT 5 Assessor/Implementer

TOGAF certified

Lean Specialist, VSM Specialist

CRISC, PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor

PMI-PBA, CBAP 

Lean Six Sigma Black Belt, ISO 9001 Implementer

Azure Administrator, Azure DevOps Expert, AWS Practitioner

And many more.

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Reviews

4.5

908 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Karpagam Sangameswaran on 10/21/2025

The course covered a lot of tools and methodologies. I especially liked the assignments given after each case study. The last 2 lessons that covered AI and ML are very relevant.

By Tiana Randriantsoa on 10/20/2025

That course demonstrates a balanced combination of theoretical knowledge on data analytics, with well-chosen examples to break down complex concepts into digestible formats. The course content length is perfect, in all, one of the best and mostly hands-on course experiment on Udemy, applied to my favorite thematic area of Project Management. Congrats for the excellent input !!

By Hiam Almohtadi on 7/11/2025

This course teaches you to move from reactive to proactive thinking, which assist you not only to complete tasks, but manage them effectively, improve and lead them.

By Joanna Ventour on 2/21/2025

Some of the assignments did not work when I inserted the scripts we were told to run, so it was a little difficult to follow along in those sections. Otherwise, this felt very comprehensive but still easily digestible.

By Tanya Grap on 12/31/2024

A good summary of analytics, especially the traditional methods. I would have liked to see how to build a roadmap step by step with examples and learn more about what tools (besides Excel) are out there for ML and AI.

By Lokesh Boya on 8/16/2024

The course was overall easy to follow and well-structured. I appreciated the ability to pause and take notes as I went along. The only challenge I faced was with the coding section, where I felt additional support or examples could have been helpful.

By Dennis Chomba on 7/7/2024

Practical application of statistics and data analysis concepts to solve real world Project Management related topics by utilizing R and Python are concise and easy to understand.

By Aisha Yasmin Aliyu on 6/20/2024

So far, so good. My favourite part about it is how concise it is. Each module goes straight to the point, while still providing all the rellevant information i need to understand concepts introduced

By Savannah Bies on 6/6/2024

I had difficulties with the coding portion and wish I had assistance with that part, otherwise the course was easy to follow and I was able to pause it as I went to write notes, etc.

By Fardin Ahmadzada on 3/1/2024

Well, I am currently working as a call center agent for UNICEF, and our work is related to data analytics which is a very important subject. and this course very help me with my working analytics and my experience.

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Overall Score : 90 / 100