Project Management with Data Analytics (Udemy.com)
A Guide to Utilizing Data Analytics for Effective Project Planning, Monitoring, and Delivery
Created by: Learnsector LLP
Last updated June 2026
What you will learn
- Understand the role of data analytics in project management and its importance for driving project success.
- Gain proficiency in leveraging data throughout the project lifecycle, from ideation to implementation, to make informed decisions.
- Learn data collection, visualization, and analysis techniques to extract actionable insights and optimize project performance.
- Familiarize themselves with advanced tools and technologies for data-driven decision-making, including project management software, BI tools, and AI.
How it compares
Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:
- Rating4.4 out of 5higher than 35% of them
- Reviews986#142 of 372 by number of reviews
- Length1.2 hoursshorter than 94% of them
- Last updatedJune 2026more recently than 76% of them
Course Description
Welcome to "Project Management with Data Analytics," a dynamic course tailored to empower project managers with the transformative capabilities of data analytics. In today's data-driven landscape, harnessing the power of data is paramount for driving project success and making informed decisions. This course is meticulously crafted to guide you through every facet of data analytics in project management.
Throughout the course, you will embark on an immersive learning journey, starting with an exploration of the pivotal role of data analytics in project management and the compelling benefits of adopting a data-driven approach. You will delve into the project lifecycle, learning how to effectively analyze data at each stage – from project ideation to implementation – and leverage cutting-edge project management tools for data collection and processing.
Furthermore, you will understand the art of data collection and visualization, gaining proficiency in identifying and gathering various types of project data, employing robust data collection methods, and crafting insightful visualizations to convey project metrics effectively.
In addition, you will explore project management software with built-in analytics, business intelligence (BI), and data visualization tools, and the transformative potential of machine learning and artificial intelligence (AI) for deriving advanced project insights.
Challenges and considerations in data analytics will also be addressed, including data quality and consistency, as well as data security and privacy concerns. Real-world examples from industry giants like Walmart, Yelp, and Netflix will provide valuable insights into how data analytics is applied in real-world project scenarios.
As the course draws to a close, you will reflect on key learnings and implications for project scope, schedule, and budget, equipping you with the knowledge and skills to harness data analytics as a strategic asset in your project management endeavors. Whether you're a seasoned project manager or aspiring to enter the field, this course will empower you to unlock the full potential of data analytics and drive project success like never before.
Join us to learn data skills for successful projects.
Instructor Details
- 4.4 Rating
986 Reviews
Learnsector LLP
Learnsector, your one-stop solution for all your training needs. We're dedicated to giving you the best in class training in the space of Programming, Cyber Security, Cloud, Machine Learning, Analytics, and Project Management.
Our exclusive training helps you to acquire the relevant skillset mandatory to grab thriving opportunities. We train you intensively to implement your technical skills in a real-world scenario. We help you stay up-to-date with the latest technologies and requirements of IT organizations across the world.
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Reviews
By Sheri Y. Hollie on 9/29/2026
Really relatable use of Excel and pivot tables from a course I took earlier this month. Good presentation.
By Polina Blintsovskaya on 7/29/2026
This is a good entry-level overview of data analytics and its imprortance, and I think the pivot table demo at the end is useful for seeing data analytics in action. My suggestion for improvement is to make the quizzes longer than one single question; for example, make the quizzes 3-5 questions per module. I think longer quizzes is helpful for cementing the knowledge from the modules.
By Varun Kelkar on 6/27/2025
Real time business case with detailed examples and numbers can be added. Also, some flavour of data analytics from every phases of the project can enhance the value one can take away from this course.
By Randy Cox on 5/29/2025
I found the course helpful to give me a basic understanding of data analytics and help to chose which platform will be my next step.
By Musawenkosi Ngcekwa on 2/24/2025
Clear and well presented with relevant quizzes to keep one engaged
By Anonymized User on 11/25/2024
This course offers a comprehensive overview of data analysis tools, techniques, and applications. It's a fantastic starting point for anyone looking to delve into the world of data, presenting concepts clearly and concisely. Real-world examples and case studies illustrate the practical applications, while actionable takeaways help identify areas for further exploration. While a deeper dive into specific topics would be beneficial, this course provides a strong foundation for both beginners and those transitioning into data-driven roles.
By Egisa Ndina on 10/26/2024
This course has helped me gain detailed information regarding how data is connected with the project life cycle and the importance of data quality and privacy.
By Stephanie Tolliver on 8/26/2024
Easy to understand and take notes. I very much like taking my time understanding what is being said.
By Arthi Ravichandran on 6/25/2024
A great course for project managers. i believe this would help me to use data perfectly and manage my projects well.
By Adeola Oluwakamikun Adebajo on 6/6/2024
Yes, I enjoyed learning new concepts and having general exposure to new data analytics tools. I feel empowered to explore more of data analytics for my work as project manager and even try out some tools to enhance my team's performance.
Quality Score
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Overall Score : 88 / 100












