Advance S-Curve using Power BI | English

Advance S-Curve using Power BI
4.50 (19 reviews)
Udemy
platform
English
language
Management
category
Advance S-Curve using Power BI | English
269
students
2.5 hours
content
Oct 2023
last update
$49.99
regular price

Why take this course?

🚀 Advance S-Curve using Power BI 📊


Course Headline: Unleash the Full Potential of Project Forecasting with Advanced S-Curve Analysis in Power BI!


Course Description:

Dive into the world of project management and forecasting with our comprehensive online course, "Advance S-Curve using Power BI". This course is meticulously crafted for professionals aiming to master the art of S-curve analysis within Power BI. With a focus on advanced techniques and real-world applications, participants will gain in-depth knowledge and practical skills that are essential for optimizing project performance and resource utilization.

What You'll Learn:

  • Advanced S-Curve Techniques: Explore the intricacies of creating interval and cumulative S-curves with Power BI, and understand how these tools can revolutionize your project forecasting.

  • Financial Periods & P6 Integration: Utilize financial periods in P6 to accurately store updated project values, ensuring your analysis reflects the most current data.

  • DAX Mastery: Analyze interval and cumulative Earned Value (EV) percentages by developing custom measures and mastering DAX formulas for key project metrics.

  • Dynamic Charts: Import activity codes, link them with the S-curve, and create dynamic, interactive charts that provide real-time insights into project progress.

  • Trend Analysis & Variance Analysis: Perform trend analysis using the S-curve to identify patterns and variations, and conduct a detailed variance, weight of variance, SPI (Schedule Performance Index), and weight % analysis for each activity.

  • Real-World Examples: Learn through practical examples that showcase how S-curve analysis can be applied in various real-world project scenarios.

  • Best Practices & Ongoing Support: Benefit from the best practices for S-curve analysis in Power BI and receive ongoing support and resources to continue your learning journey beyond the course.


Course Outline:

  • Creating interval and cumulative S-curves in Power BI

  • Using financial periods in P6 to store updated project values.

  • Analyzing interval and cumulative EV % using advanced techniques.

  • Setting up a date table to join PV (Planned Value) and EV (Earned Value) data into one curve for comprehensive analysis.

  • Developing custom measures and DAX formulas to calculate key project metrics, such as cost performance index and schedule performance index.

  • Importing activity codes into Power BI for detailed tracking and reporting.

  • Linking activity codes with the S-curve to create dynamic and interactive charts that offer deeper insights into project performance.

  • Trend analysis using the S-curve to forecast future project performance.

  • Conducting variance, weight of variance, SPI, and weight % analysis for each activity to identify issues and make informed decisions.

  • Analyzing real-world examples of S-curve analysis to see theory in action.

  • Understanding best practices for S-curve analysis in Power BI to ensure your analyses are accurate and effective.

  • Accessing ongoing support and resources that will help you continue to grow and refine your skills after the course concludes.


Who Should Take This Course?

This course is ideal for:

  • Project Managers
  • Senior Project Managers
  • Programme Managers
  • Portfolio Managers
  • Analysts working with project data
  • Anyone interested in advanced S-curve analysis and Power BI's capabilities

By enrolling in this course, you are taking a significant step towards enhancing your project management skills and leveraging the full power of Power BI for strategic decision-making. 🌟

Join us to transform your approach to project forecasting and analysis, and unlock the true potential of your data with advanced S-curve techniques in Power BI!

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5169772
udemy ID
20/02/2023
course created date
27/05/2023
course indexed date
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