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
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
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.
Instructor Details
- 4.5 Rating
908 Reviews
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
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.
Quality Score
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Overall Score : 90 / 100












