#30daydatachallenge search results
Day 4 | #30DayDataChallenge with Idealnovate Data School Today’s task focused on removing duplicates and blanks an essential step to ensure data accuracy and reliability. It’s easy to overlook how duplicates can mislead analysis, especially in large datasets With Excel’s built-in
Taking on a 30-day challenge to refine datascience skills. Less theory, more real-world application. Let's go! #30DayDataChallenge #DataBender
Day 3 | #30DayDataChallenge with Idealnovate Data School Today’s focus was on data cleaning, specifically cleaning column headers — one of the simplest but most overlooked steps in data preparation. I worked on making my dataset more readable by: Removing extra spaces.
Day 5 | #30DayDataChallenge with Idealnovate Data School Today’s task focused on using some of Excel’s most powerful text formulas LEFT, TRIM, and PROPER to clean and organize data. 🔹 LEFT: Extracts a specific number of characters from the start of a text.
Today in my 30-day data challenge, I explored SUMIFS — a powerful Excel function for conditional summation. #30daydatachallenge #dataanalytics
We’ve been on an unplanned break from our #30DayDataChallenge ⏸️ But we’re not done yet! Next week, we drift from the education sector into something exciting, Football data ⚽📊 Stay tuned. We’re coming back strong. #DataAnalysis #SportsAnalytics #TheAnalyst
Day 2 of my #30DayDataChallenge and I've officially joined the SQL sorcery club!!! Just wrote my first: SELECT* FROM magic WHERE spell = 'select'; Turns out SQL is less scary and more magical than I thought! #learnSQL #DataAnalytics #SQLForBeginners
Can You Start A Data Analyst Career in 30 Days? #OwnPetz #DataAnalystCareer #30DayDataChallenge #DataAnalysisJourney #CareerDevelopment #DataSkills #LearnDataAnalysis #DataAnalysisCommunity #ExcelSkills #PortfolioBuilding #CareerAdvice ownpetz.com/blog/article/c…
We’ve been on an unplanned break from our #30DayDataChallenge ⏸️ But we’re not done yet! Next week, we drift from the education sector into something exciting, Football data ⚽📊 Stay tuned. We’re coming back strong. #DataAnalysis #SportsAnalytics #TheAnalyst
Day 4 | #30DayDataChallenge with Idealnovate Data School Today’s task focused on removing duplicates and blanks an essential step to ensure data accuracy and reliability. It’s easy to overlook how duplicates can mislead analysis, especially in large datasets With Excel’s built-in
Day 3 | #30DayDataChallenge with Idealnovate Data School Today’s focus was on data cleaning, specifically cleaning column headers — one of the simplest but most overlooked steps in data preparation. I worked on making my dataset more readable by: Removing extra spaces.
We’ve been on an unplanned break from our #30DayDataChallenge ⏸️ But we’re not done yet! Next week, we drift from the education sector into something exciting, Football data ⚽📊 Stay tuned. We’re coming back strong. #DataAnalysis #SportsAnalytics #TheAnalyst
Day 5 | #30DayDataChallenge with Idealnovate Data School Today’s task focused on using some of Excel’s most powerful text formulas LEFT, TRIM, and PROPER to clean and organize data. 🔹 LEFT: Extracts a specific number of characters from the start of a text.
Today in my 30-day data challenge, I explored SUMIFS — a powerful Excel function for conditional summation. #30daydatachallenge #dataanalytics
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