Project Management With Data Analytics

A Guide to Utilizing Data Analytics for Effective Project Planning, Monitoring, and Delivery

What you'll 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.

Requirements

No prerequisites: This course is designed for learners of all levels, including beginners. No prior experience in data analytics or project management is required. All you need is an eagerness to learn and explore the world of data-driven project management.

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.

Overview

Section 1: Introduction

Lecture 1 Understanding the Role of Data analytics

Lecture 2 Importance of data-driven decision-making

Section 2: Project life cycle and data analytics

Lecture 3 Analyzing data at different project stages: from ideation to implementation

Lecture 4 Leveraging project management tools for data collection and processing

Section 3: Data collection and visualization

Lecture 5 Types of project data

Lecture 6 Data collection methods

Lecture 7 Visualizing project metrics

Section 4: Data Analysis Techniques

Lecture 8 What are the data analysis technique

Section 5: Tools and Technologies

Lecture 9 Project management software with built-in analytics

Lecture 10 Business intelligence (BI) and data visualization tools

Lecture 11 Machine learning and artificial intelligence (AI) for advanced insights

Section 6: Challenges and consideration

Lecture 12 Data quality and consistency

Lecture 13 Data security and privacy

Section 7: Real world examples

Lecture 14 Case Study: Walmart

Lecture 15 Case Study: Yelp

Lecture 16 Case Study: Netflix

Section 8: Conclusion

Lecture 17 Project scope, schedule and budget

Project managers seeking to enhance their skills in data analytics and drive project success through data-driven decision-making.,Professionals transitioning into project management roles who want to gain proficiency in leveraging data for project management.,Individuals interested in exploring the intersection of data analytics and project management, regardless of their background or experience level.,Whether you're a seasoned project manager or someone new to the field, this course will equip you with the knowledge and skills to excel in data-driven project management.