#dataanalyticswithlabanoacademy resultados de búsqueda
Day 10/10 Final Dashboard👌. Wrapping up my exhilarating Excel boot camp at Labano Academy, my heart is brimming with joy! 🌟 The countless formulas, and pivot tables have transformed mere cells into powerful tools. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 3 challenge: Calculate the total sales and average order value using the appropriate formula For the total sales, I used the =sum(total sales) and for the average, I used the =average(sum of total sales) formula to get my answers. #DataAnalyticswithLabanoAcademy #Easy_p5
I promise, the journey would be worth the while #DataAnalyticsWithLabanoAcademy,#LabanoDataAnalysis, #Easy_p5 Labano Academy, Israel Afolabi
Day 5: Creating Charts 10Days Microsoft Excel BootCamp Chart, "Product by Sales",relatnship btw prod. types to cumm.Sales Strength: Food&Beverages_Fund more,diversify Weakness: Health&Beauty_Advertise,human capital #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, Easy_p5
Data Analysis and Visualization Bootcamp with our Cohort 7 students begins today! #DataAnalyticsWithLabanoAcademy
Day 4 Used conditional formatting in Excel to highlight prices above 500 with a vibrant green #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 3 of the 10-Day Excel Bootcamp at Labano Academy 📊🚀 I calculated the total sales and found the AOV (average order value). #DataAnalyticsWithLabanoAcademy | #LabanoDataAnalysis| #Easy_p5
Day 7 I dove deep into a complex dataset using three powerful Excel functions: INDEX, MATCH and VLOOKUP to extract specific data from the dataset. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 9 Implemented data validation to ensure that only whole numbers can be entered for product quantities, preventing any invalid entries. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 2 #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5 📊 Raw vs. Cleaned Data 📈 📥 Raw Dataset: Contains duplicates 🔄 Messy date and time formats ⏰ Blank cells 🚫 Missing values 🙇♂️ 🧹 Cleaned Dataset: ✅ Duplicates removed ✅ Date and time reformatted ✅ Blanks
Day 5 Created a bar chart to analyze product-wise sales distribution. The highest sales were found in F&B, which cost $56,144.84. On the other hand, the lowest sales were seen in H&B, generating $49,193.74. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 6 of Day 10 ✅created a Pivot Table! It's for organizing and analyzing data efficiently. ✅Below is the table #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, Easy_p5. Labano Academy, Israel Afolabi
Day 6📊: I created pivot tables to summarize sales by various categories observed in the dataset. These included total sales by gender, city, branch, customer type, product line, quantity, etc. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
This will be fun and educative, stay tuned #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5,@richakin2000
Day 5 of 10days Bootcamp ✅I created a pivot table to get the accurate value ✅ I created a bar chat to show the relationships between total sales and product line #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis, Easy_p5 Labano Academy, Israel Afolabi Labano ACADEMYCOHORT7
Day 8 of 10 of Data Analysis Excel Boot Camp #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5 #DataAnalysis
Day 4 of 10 days Bootcamp ✅I calculated the mean, median and mode of Totalsales value ✅I to use the mode value $829 for conditional formatting the highlight in greencolor ✅Below is my screenshot data using #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis, Israel Afolabi
Day 3 challenge: Calculate the total sales and average order value using the appropriate formula For the total sales, I used the =sum(total sales) and for the average, I used the =average(sum of total sales) formula to get my answers. #DataAnalyticswithLabanoAcademy #Easy_p5
Day 10/10 Final Dashboard👌. Wrapping up my exhilarating Excel boot camp at Labano Academy, my heart is brimming with joy! 🌟 The countless formulas, and pivot tables have transformed mere cells into powerful tools. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 7 challenge: Use two advanced function and I would be using the "MATCH" and "VLOOKUP" function #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 5 challenge : Today I am creating a bar chat depicting the product-wise sales distribution. #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 8 Challenge :Analyzing sales trends over time and suggesting strategies for improving sales #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 5: Creating Charts 10Days Microsoft Excel BootCamp Chart, "Product by Sales",relatnship btw prod. types to cumm.Sales Strength: Food&Beverages_Fund more,diversify Weakness: Health&Beauty_Advertise,human capital #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, Easy_p5
Day 4 challenge : Conditional formatting Conditional formatting from the highest cells with the highest sales value. #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 6 challenge: I would be creating a pivot table summarizing sales by varying categories I observed in the dataset. #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 10/10 Challenge and I'm so thrilled to show you the dashboard I created with a variety of chart appearances, labels, and color. Thank you all👍 #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 4 Used conditional formatting in Excel to highlight prices above 500 with a vibrant green #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 2 challenge: Data importing and cleaning. I filtered the "branch" alphabetically, formatted the data column and converted the table to a standard Excel table. Frame 1: uncleaned data Frame 2: Cleaned data #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 9 challenge: I'm implementing data Validation for product quantities to prevent invalid enteries. Data validation is a powerful tool for ensuring data accuracy,According to my DV any number above 10 is an error . #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5
Day 3 of the 10-Day Excel Bootcamp at Labano Academy 📊🚀 I calculated the total sales and found the AOV (average order value). #DataAnalyticsWithLabanoAcademy | #LabanoDataAnalysis| #Easy_p5
I promise, the journey would be worth the while #DataAnalyticsWithLabanoAcademy,#LabanoDataAnalysis, #Easy_p5 Labano Academy, Israel Afolabi
Day 7 I dove deep into a complex dataset using three powerful Excel functions: INDEX, MATCH and VLOOKUP to extract specific data from the dataset. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 9 Implemented data validation to ensure that only whole numbers can be entered for product quantities, preventing any invalid entries. #DataAnalyticsWithLabanoAcademy, #LabanoDataAnalysis, #Easy_p5
Day 2 #DataAnalyticsWithLabanoAcademy #LabanoDataAnalysis #Easy_p5 📊 Raw vs. Cleaned Data 📈 📥 Raw Dataset: Contains duplicates 🔄 Messy date and time formats ⏰ Blank cells 🚫 Missing values 🙇♂️ 🧹 Cleaned Dataset: ✅ Duplicates removed ✅ Date and time reformatted ✅ Blanks
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