Umar Mehmood

Umar Mehmood Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from Umar Mehmood, Digital creator, Rahimyar Khan.

Kaggle 2X Expert || Data Analyst || Python Programmer || SQL || MS Excel || Power BI Expert || Experienced in EDA, Data Cleaning, Data wrangling, Data preprocessing, Data Visualization

02/09/2024

Auto Mobile Sales Dashboard

26/08/2024

Coffee Shop Sales Dashboard

25/08/2024

πŸš€ Excited to share the Coffee Shop Sales Dashboard! β˜•πŸ“ŠI’ve just created this dashboard using the Power BI tool, and it’s...
19/08/2024

πŸš€ Excited to share the Coffee Shop Sales Dashboard! β˜•πŸ“Š

I’ve just created this dashboard using the Power BI tool, and it’s packed with insights that can drive smarter decisions. Whether it's tracking daily sales trends πŸ“ˆ, identifying top-selling products πŸ₯‡, or understanding customer demographics 🎯, this dashboard has it all!

Power BI made it easy to transform raw data into a visual story that’s both informative and engaging.

Check it out and let me know your thoughts! πŸ’¬

πŸš€ Excited to Share! πŸš€I’m thrilled to unveil our latest E-Commerce Sales Dashboard crafted using the power of MS Excel! πŸ“Š...
16/08/2024

πŸš€ Excited to Share! πŸš€

I’m thrilled to unveil our latest E-Commerce Sales Dashboard crafted using the power of MS Excel! πŸ“Šβœ¨ This dynamic tool offers real-time insights, trend analysis, and actionable data to supercharge your online sales strategy. Dive into the details and discover how Excel can transform your data into valuable business decisions!

Check it out and let’s discuss how this can drive your success! πŸš€πŸ“ˆ

12/08/2024

πŸš€ Unlock Excel's Full Potential with Must-Have Add-Ins! πŸ§‘β€πŸ’»
If you're an Excel enthusiast like me, you know that the right tools can make all the difference. That's where Add-Ins come in! 🌟 These powerful extensions can boost your productivity, simplify complex tasks, and even open up new possibilities you never thought were possible.

πŸ” Here are the Top 10 Excel Add-Ins you NEED to know:

1.Power Query πŸ”—: Seamlessly connect and transform data from various sources with ease.
2.Solver 🧠: Solve complex optimization problems and make smarter decisions.
3.Power Pivot πŸ“Š: Handle large data sets, perform advanced calculations, and create sophisticated data models.
4.Analysis ToolPak πŸ“ˆ: Perform robust statistical analyses in just a few clicks.
5.Data Streamer 🌐: Stream real-time data from physical devices directly into Excel.
6.Kutools πŸ› οΈ: Simplify your workflow with 300+ advanced features and tools.
7.ASAP Utilities ⚑: Access a treasure trove of 300+ productivity-boosting utilities.
8.Fuzzy Lookup πŸ”: Compare and match data even when there are inconsistencies in spelling or formatting.
9Microsoft Dynamics πŸ’Ό: Integrate Excel with Dynamics 365 for seamless business insights.
10.Ablebits Data 🧹: Clean, merge, and manage your data effortlessly with powerful tools.
πŸ’‘ Why stick to the basics when you can elevate your Excel game? Whether you're cleaning data, running advanced analyses, or crafting reports, these Add-Ins will take your skills to the next level!
πŸ‘‰ Which Add-In are you most excited to try out? Share your thoughts below! πŸ‘‡

Analyzing Sales Data: Is It Normally Distributed?πŸ” I analyzed a sample of 100 sales records using MS Excel to check for ...
06/08/2024

Analyzing Sales Data: Is It Normally Distributed?
πŸ” I analyzed a sample of 100 sales records using MS Excel to check for normal distribution. Using the Shapiro-Wilk test, I found:

1. Selected 100 sales data points in Excel.
2 Applied the Shapiro-Wilk test using Excel’s Data Analysis Toolpak.

Results:

P-value:

πŸš€ Exciting News! πŸš€I'm thrilled to share that I've recently assessed my skills using the Skilled Score website for the Da...
27/07/2024

πŸš€ Exciting News! πŸš€
I'm thrilled to share that I've recently assessed my skills using the Skilled Score website for the Data Analyst field, and I'm proud to announce that I achieved a score of 75 out of 100! πŸŽ‰
This milestone reflects my dedication and hard work in honing my data analysis abilities. As I continue to grow and learn in this dynamic field, I'm excited about the opportunities and challenges that lie ahead.
A big thank you to everyone who has supported me on this journey. Let's keep pushing the boundaries and making data-driven decisions that drive success!

πŸš€ Data Transformation and Cleaning in Power BI: A Comprehensive Guide πŸš€Hello LinkedIn Family! 🌟Are you ready to unlock t...
23/05/2024

πŸš€ Data Transformation and Cleaning in Power BI: A Comprehensive Guide πŸš€

Hello LinkedIn Family! 🌟

Are you ready to unlock the full potential of your data? πŸ“Šβœ¨ Dive into my latest guide and discover how to transform and clean your data like a pro using Power BI!

In this guide, you’ll master:
πŸ”§ Cutting-edge data cleaning techniques
πŸ”„ Efficient data transformation processes
πŸ“ˆ Best practices for leveraging Power BI’s robust tools

Say goodbye to messy data and hello to clear, actionable insights! 🌐

If this sparks your interest, give it a like, share it with your network, and drop a comment! Let’s revolutionize our data journeys together! πŸš€πŸ€

πŸ“Š Unlock the power of "Demystifying Non-parametric Methods: Essential Tools for Data Scientists"!     πŸ”πŸ’»
04/05/2024

πŸ“Š Unlock the power of "Demystifying Non-parametric Methods: Essential Tools for Data Scientists"!

πŸ”πŸ’»



πŸš€ Boost Your Data Quality: Fill in the Blanks for Better Insights πŸ§©πŸ”πŸ“Š 1.Identify Missing Values: First, identify missing...
18/04/2024

πŸš€ Boost Your Data Quality: Fill in the Blanks for Better Insights 🧩
πŸ”πŸ“Š 1.Identify Missing Values: First, identify missing values in your dataset.
πŸ€” Understand the Nature of Missing ness: Determine if missing data is MCAR, MAR, or MNAR.
πŸ› οΈ 2.Choose an Imputation Method: Select an appropriate method like mean/median/mode, regression, KNN, or deep learning.
βš™οΈ 3.Implement the Chosen Method: Apply the chosen method to fill in missing values.
πŸ“Šβœ… 4.Evaluate Imputed Data: Assess imputed data using summary stats, visualizations, or tests.
πŸ“ˆπŸ”¬ 5.Sensitivity Analysis (Optional): Conduct sensitivity analysis to validate results.
πŸ“πŸ“„ 6.Document and Report: Document imputation process, assumptions, and rationale for transparency.
With these steps, effectively impute missing values, ensuring data quality and reliable analysis. πŸš€πŸ”πŸ“Šβœ¨
πŸ’» hashtag πŸ“Šβœ¨

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