Estimation Tools and Techniques in Project management

In this video, we will learn about below Estimation Tools and Techniques and their insights:
1. Expert Judgement
2. Analogous Estimation
3. Parametric Estimation
4. Three Point Estimation
5. Bottom-up Estimation
6. Data Analysis
7. Decision Making

[@vasikarant]

You are fantastic.. Fist of 5 - Impressive..

[@vissukucharlapati4132]

This is the only video which I found very informative. Thank you Mr.Krishnamurthy for the wonderful guidance.

[@gauravpranesh1537]

Mr. Pammi, thanks for all your videos. Very nice content with good explanation and very Easy to understand. Looking for more.

[@raphaeladdai3393]

Very clear and concise explanation. I learned a lot from the video. Thank you Sir

[@debajyotimukherjee9571]

Useful contents, thanks for sharing

[@alokgarg3482]

Very clear video. Thanks Sir

[@ksrtmp]

Thank you sir, good video..

[@zalakpatel8951]

Thanks sir for such a great video

[@konradstark3110]

Very good video!!

[@monicapalani9091]

great thanks..!!!

[@MrMaheshmt2007]

Thank you Sir ...

[@dilipviswanath9106]

Dear Sir, Thanks for the clear explanation of the various estimation technique and concepts.
I just have a question. In PERT method, how do we arrive at ML, O and P values? Is it also by expert judgement/historical data?

[@KrishnamurtyPammi]

Dear Dilip! Thanks for writing to me. You can refer to my video on "Estimation Tools and Techniques", I have explained the rationale and the formula.

[@reshmach3212]

Is there any techniques we can use for agile projects??

[@navalannathan3529]

What is the difference between tools and techniques? Which are coming under tools and under techniques?

[@saravananataraj]

Hi
Could you refer some books

[@jy7140]

really good content, accent is little hard to follow, if no accent this video will be whelming the youtube.

[@shivangiawasthi7970]

thanks

[@sunny.sensei]

It seems that you don’t have any background in statistics. Your explanation (including the visuals) for Three Point estimates (Beta and Triangular Distribution) is incorrect. The only thing you got correct is the formulas - copied from the PMBOK or other references. At 9:39 you indicate a probability of 66.67% for “Most Likely Estimate”. It is actually zero. For any continuous distribution (including Beta), probability for a specific point on the X-axis is ZERO. Probability is the area under the curve and is finite only for a finite range on the X-asis.