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Can you share code . Good one

Can you share Source code

Hello This is a wonderful project 😊 thanks a lot for this I request you to pls bring more data sceince projects for us using Power Bi, python and sql You are delivering great content Thanks again

Hello which version of .net you are using?

I was waiting . Please upload faster.

Thank you for this playlist I was finding such channel since last months plaese dont stop makning this videos

So this is the last video of this series ?

Can you share copy/paste content code? thx

In this video we are creating FULL-STACK application using Angular and .Net.. This is Part 10 of the entire series ... Stay Tuned for rest of the parts. Previous Videos Links: Part 1 Link : ruclips.net/video/In1Yfqx7Uqc/видео.html Part 2 Link : ruclips.net/video/7RPz1Wn08JE/видео.html Part 3 Link : ruclips.net/video/Yv1M8FKLkQY/видео.html Part 4 Link : ruclips.net/video/LYTB78KwtaI/видео.html Part 5 Link : ruclips.net/video/J_XEualZj6M/видео.html Part 6 Link : ruclips.net/video/pNewRT5Qo_Q/видео.html Part 7 Link : ruclips.net/video/Zh52uLDMRSo/видео.html Part 8 Link : ruclips.net/video/Z8Un0Ax__xo/видео.html Part 9 Link : ruclips.net/video/E62rMtnaGnU/видео.html

How many parts are left

Part 1 Link : ruclips.net/video/In1Yfqx7Uqc/видео.html Part 2 Link : ruclips.net/video/7RPz1Wn08JE/видео.html Part 3 Link : ruclips.net/video/Yv1M8FKLkQY/видео.html Part 4 Link : ruclips.net/video/LYTB78KwtaI/видео.html Part 5 Link : ruclips.net/video/J_XEualZj6M/видео.html Part 6 Link : ruclips.net/video/pNewRT5Qo_Q/видео.html Part 7 Link : ruclips.net/video/Zh52uLDMRSo/видео.html

Nice

Previous Videos Links: Part 1 Link : ruclips.net/video/In1Yfqx7Uqc/видео.html Part 2 Link : ruclips.net/video/7RPz1Wn08JE/видео.html Part 3 Link : ruclips.net/video/Yv1M8FKLkQY/видео.html Part 4 Link : ruclips.net/video/LYTB78KwtaI/видео.html Part 5 Link : ruclips.net/video/J_XEualZj6M/видео.html

In this video we are creating FULL-STACK application using Angular and .Net.. This is Part 5 of the entire series ... Stay Tuned for rest of the parts. Previous Videos Links: Part 1 Link : ruclips.net/video/In1Yfqx7Uqc/видео.html Part 2 Link : ruclips.net/video/7RPz1Wn08JE/видео.html Part 3 Link : ruclips.net/video/Yv1M8FKLkQY/видео.html Part 4 Link : ruclips.net/video/LYTB78KwtaI/видео.html

Previous Videos Link: Part 1 Link : ruclips.net/video/In1Yfqx7Uqc/видео.html

Previous Parts Link : Part 1 Link : ruclips.net/video/In1Yfqx7Uqc/видео.html Part 2 Link : ruclips.net/video/7RPz1Wn08JE/видео.html

Great work sir, I am going to watch Part 3 now.. Please make more vidoes on Detailed Power Bi and SQL , Real world Industry based Projects. Eager to watch..

Thank you so much for your hard work. Please keep post more videos like this. I have seen you have very few project in your video list.

Hi sir.. I like ur content and explaination.. Can you tell me how you are writting on screen with different color.

Please provide the database also.

To download the material used this video: Checkout the following link and click on Download File button present under WHERE Clause section: houseoftechconcepts.com/pages/sqlCourseStudyMaterial.html

To download the complete material .. Checkout the following link: houseoftechconcepts.com/pages/houseoftechconceptsStudyMaterial.html

Love it.....waiting for the part 3 to complete this project

Not able to download material for pratice

To download the complete material .. Checkout the following link: houseoftechconcepts.com/pages/houseoftechconceptsStudyMaterial.html

To download the complete material .. Checkout the following link: houseoftechconcepts.com/pages/houseoftechconceptsStudyMaterial.html

Very good tutorial. Explanation is clear and delivered with a good pace and examples. Thank you!

1. Identifying Monthly Average Sales #Resmaple Data on MOnthly basis df.resample('M',,on='Date').sum() 2. Identify Change in sales over time #(using shift method) df["Previous Sales"] = df["Sales"].shift(1) # Vales of sales are shifted by 1 position. Now we need to derive Change in sales. We can subtract sales. df["Change in Sales"] = df["Sales"] - df["Previous Sales"] df["Change in Sales (%)"] = df["Change in Sales"] / df["Sales"] * 100 ---------------- using diff method ------------ df["Change in Sales (diff)"] = df["Sales"].diff() df["Change in Sales (%)"] = df["Change in Sales (diff)"] / df["Sales"] * 100 3. Identify Rolling Average df["RollingAverage"] = df["Sales"].rolling(2 ).mean() -> Contains average of 2 periods Some of important methods of time series analysis .resample() ,shift() .diff() .rolling()

1. Identifying Monthly Average Sales #Resmaple Data on MOnthly basis df.resample('M',,on='Date').sum() 2. Identify Change in sales over time #(using shift method) df["Previous Sales"] = df["Sales"].shift(1) # Vales of sales are shifted by 1 position. Now we need to derive Change in sales. We can subtract sales. df["Change in Sales"] = df["Sales"] - df["Previous Sales"]

To download the data file used in this video.... Checkout the below link: houseoftechconcepts.com/pages/pythonprojectStudyMaterial.html

To download the data file used in this video.. Checkout the following link and go to Market Share Identification in MySQL ... houseoftechconcepts.com/pages/mySqlStudyMaterial.html

For the 1st question, to get average salary by department.....we can also use Group by also right ? Like this SELECT department_name,Avg(salary) FROM employee_data GROUP BY department_name

To download the data file used in this video... Checkout the following link and Download the file from AVG over Window in MySQL section....... houseoftechconcepts.com/pages/mySqlStudyMaterial.html