Data Analytics For Project Management
Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 260.76 MB | Duration: 0h 59m
Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 260.76 MB | Duration: 0h 59m
Master Data Analytics in Project Management: Drive success with KPIs & dashboards using Excel
What you'll learn
Basics of project management & data analytics
Calculation of Key Performance Indicators (KPIs)
Creating effective project dashboards
Excel skills for data analysis in project management
Requirements
A PC/ laptop with good internet connection and MS Excel installed on it
Description
If you're embarking on or advancing within a career that blends project management with the dynamic field of data analytics, acquiring the skill to merge these disciplines is crucial in today's data-centric landscape. Data Analytics in Project Management is designed to equip you with the analytical tools and techniques essential for making informed decisions and driving project success. This course demystifies the process of analyzing project-related data, enabling you to effectively monitor, control, and predict project outcomes.In this course, you will:Learn the fundamentals of project management and the role of data analytics.Master the art of calculating and interpreting Key Performance Indicators (KPIs) to gauge project health.Develop skills to create insightful dashboards for real-time project monitoring.Gain proficiency in Excel for managing project data.Apply your skills through hands-on projects and real-world scenarios to cement your learning.Why learn Data Analytics in Project Management?Integrating data analytics into project management practices offers a competitive edge, enhancing efficiency, and ensuring the success of your projects. This course will guide you through understanding complex data, making predictions about future project performance, and implementing changes to achieve desired results. Whether you are a project manager, data analyst, business analyst, or student, these skills are invaluable in navigating the complexities of modern project environments.Course activities include:Real-world case studies to apply and reinforce your learning.Practical exercises in Excel, focusing on data analysis and visualization techniques.Projects that simulate actual project management challenges, requiring data-driven solutions.5 Reasons to choose this Data Analytics in Project Management course:Comprehensive curriculum blending project management principles with data analytics.Hands-on approach with practical examples, case studies, and exercises.Downloadable resources for practice and application of learned techniques.Guidance from instructors with extensive experience in data analytics and project management.A vibrant community of peers for collaboration and support.What makes us qualified to teach you?This course is brought to you by Abhishek and Pukhraj, seasoned educators with a decade of experience in teaching data analytics, machine learning, and business analytics. Leveraging tools like Excel, SQL, Python, and Tableau, we've crafted engaging, impactful learning experiences.We've received thousands of 5-star reviews for our courses, reflecting our commitment to helping students achieve their professional and personal learning goals:I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - SikiruVery insightful, learning very nifty tricks and enough detail to make it stick in your mind. - ArmandSo, if you're ready to harness the power of data analytics in project management, enroll in our course today and take the first step towards mastering this essential skill set.Cheers,Start-Tech Academy
Overview
Section 1: Introduction
Lecture 1 Introduction to the course
Lecture 2 Importance of Data Analytics in Project Management
Section 2: Project management basics
Lecture 3 Introduction to project management
Lecture 4 Initiation Phase
Lecture 5 Planning Phase
Lecture 6 Execution Phase
Lecture 7 Monitoring and Controlling Phase
Lecture 8 Closing Phase
Lecture 9 Agile and Scrum
Section 3: Data Analytics in Project Management
Lecture 10 The role of Data Analytics
Lecture 11 Introduction to KPIs
Lecture 12 Earned Value Management KPIs
Section 4: Case Study - KPIs
Lecture 13 Case Study introduction
Lecture 14 Case Study - KPis calculation
Professionals seeking to integrate data analytics into project management,Students aiming for a career at the intersection of analytics and project management,Project managers wanting to enhance decision-making with data insights