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#100daysofdataanalytics search results

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mo_bolajoko's profile picture. Isaiah45:2🤍 Owner @jokoclothiers @_themoimoicafe || Data Analyst
MOBOLAJOKO✨
 @mo_bolajoko
Oct 25

Hi Hi #Datafam Day5/100 of #100DaysOfDataAnalytics Today’s learning was with @Afeniforo_ And the Topic From Data To Decisions: Understanding The Data Analytics Lifecycle. Takeaway: You can excel in this journey by learning,mastering and understanding the fundamentals

Afeniforo_'s profile picture. Data Analyst & Trainer 📊 I love to teach, learn about the universe, play the piano and analyze data 📈 | Ibadan 🤍
Afeniforo, Progress (AP)
 @Afeniforo_
Oct 24

1 DAY TO GO ❗️Don't miss Ibadan Tech Expo

Afeniforo_'s tweet image. 1 DAY TO GO ❗️Don't miss Ibadan Tech Expo
Afeniforo_'s tweet image. 1 DAY TO GO ❗️Don't miss Ibadan Tech Expo
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mo_bolajoko's profile picture. Isaiah45:2🤍 Owner @jokoclothiers @_themoimoicafe || Data Analyst
MOBOLAJOKO✨
 @mo_bolajoko
Oct 24

Hi Hi #datafam Day4/100 of #100Daysofdataanalytics Today i continued on my learning of Tasks of Data Analyst

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mo_bolajoko's profile picture. Isaiah45:2🤍 Owner @jokoclothiers @_themoimoicafe || Data Analyst
MOBOLAJOKO✨
 @mo_bolajoko
Oct 23

Hi HI #datafam Day3/100 0f #100DaysOfDataAnalytics Learnt Tasks of a Data Analyst

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mo_bolajoko's profile picture. Isaiah45:2🤍 Owner @jokoclothiers @_themoimoicafe || Data Analyst
MOBOLAJOKO✨
 @mo_bolajoko
Oct 22

Hi Hi #datafam Day2/100 of #100DaysOfDataAnalytics Today I learnt; Roles of Data Key takeaway; There are some similarities that exist between a data analyst and a business analyst but the differentiator between the two roles is what they do with data.

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mo_bolajoko's profile picture. Isaiah45:2🤍 Owner @jokoclothiers @_themoimoicafe || Data Analyst
MOBOLAJOKO✨
 @mo_bolajoko
Oct 21

Hi Hi #datafam Day1/100 of #100Daysofdataanalytics Learnt; what data analysis, categories (5) and functions of each. Key takeaway; storytelling through data analysis is a vital component and aspect of businesses.

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AMossawerdev's profile picture. 🚀 Learning Data Analytics | #100DaysOfDataAnalytics 💻 Python, SQL, Excel | Sharing my daily progress 📍India | 📂 GitHub: abdulmossawer
Abdul Mossawer | Data Analytics Learner
 @AMossawerdev
Oct 6

Still on my #100DaysOfDataAnalytics journey 📊 — not quitting! Currently working in a Support role while balancing time to learn & apply for DA jobs. Consistency > Speed. 🚀 #DataAnalytics #NeverGiveUp #CareerJourney

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Abigail_toyosi's profile picture. Music lover.... Lover of Christ😍.....An Engineer to be 😘…..Data Analyst❤️
Abigail Osunkeye
 @Abigail_toyosi
Sep 24

• Explored data validation & cleansing techniques • Practiced spreadsheet features like conditional formatting, remove duplicates, and format checks to improve data quality 💡 Key takeaway: Clean, validated data = trustworthy insights #100DaysOfDataAnalytics

Abigail_toyosi's profile picture. Music lover.... Lover of Christ😍.....An Engineer to be 😘…..Data Analyst❤️
Abigail Osunkeye
 @Abigail_toyosi
Sep 24

Day 25— Recognizing & Fixing Dirty Data Clean data is the foundation of good analysis, so today I focused on identifying and correcting dirty data. • Common issues: duplicates, missing values, inconsistent formats, outdated info, incomplete/inaccurate entries #DataAnalytics

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AMossawerdev's profile picture. 🚀 Learning Data Analytics | #100DaysOfDataAnalytics 💻 Python, SQL, Excel | Sharing my daily progress 📍India | 📂 GitHub: abdulmossawer
Abdul Mossawer | Data Analytics Learner
 @AMossawerdev
Sep 10

📅 Day 49 of #100DaysOfDataAnalytics 🚀 Completed Task 2 of my internship with Future Interns! Built a Facebook Ads Dashboard in Power BI 📊 ✨ Key Insight: Age 30–34 drives the highest impressions (35.7M) & best CR (20%). ⚠️ CTR 0.01% = ROI challenge.

AMossawerdev's tweet image. 📅 Day 49 of #100DaysOfDataAnalytics 🚀 Completed Task 2 of my internship with Future Interns! Built a Facebook Ads Dashboard in Power BI 📊 ✨ Key Insight: Age 30–34 drives the highest impressions (35.7M) & best CR (20%). ⚠️ CTR 0.01% = ROI challenge.
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AMossawerdev's profile picture. 🚀 Learning Data Analytics | #100DaysOfDataAnalytics 💻 Python, SQL, Excel | Sharing my daily progress 📍India | 📂 GitHub: abdulmossawer
Abdul Mossawer | Data Analytics Learner
 @AMossawerdev
Sep 9

Day 48 of #100DaysOfDataAnalytics Built a Superstore Sales Dashboard (Power BI) to uncover: 📊 Sales & Profit trends ⭐ Top 10 customers/products 🌍 Regional performance 📦 Shipping efficiency Excited to keep learning & building more!

AMossawerdev's tweet image. Day 48 of #100DaysOfDataAnalytics Built a Superstore Sales Dashboard (Power BI) to uncover: 📊 Sales & Profit trends ⭐ Top 10 customers/products 🌍 Regional performance 📦 Shipping efficiency Excited to keep learning & building more!
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AMossawerdev's profile picture. 🚀 Learning Data Analytics | #100DaysOfDataAnalytics 💻 Python, SQL, Excel | Sharing my daily progress 📍India | 📂 GitHub: abdulmossawer
Abdul Mossawer | Data Analytics Learner
 @AMossawerdev
Sep 4

📅 Day 47 of #100DaysOfDataAnalytics Completed an EDA on Superstore Sales using Python 🚀 🔍 Insights: ✅ West & East drive sales ✅ Tech = most profitable ✅ Over-discounting = losses 👉 Repo: github.com/abdulmossawer/… #Python #EDA #DataAnalytics

AMossawerdev's tweet image. 📅 Day 47 of #100DaysOfDataAnalytics Completed an EDA on Superstore Sales using Python 🚀 🔍 Insights: ✅ West & East drive sales ✅ Tech = most profitable ✅ Over-discounting = losses 👉 Repo: github.com/abdulmossawer/… #Python #EDA #DataAnalytics
AMossawerdev's tweet image. 📅 Day 47 of #100DaysOfDataAnalytics Completed an EDA on Superstore Sales using Python 🚀 🔍 Insights: ✅ West & East drive sales ✅ Tech = most profitable ✅ Over-discounting = losses 👉 Repo: github.com/abdulmossawer/… #Python #EDA #DataAnalytics
AMossawerdev's tweet image. 📅 Day 47 of #100DaysOfDataAnalytics Completed an EDA on Superstore Sales using Python 🚀 🔍 Insights: ✅ West & East drive sales ✅ Tech = most profitable ✅ Over-discounting = losses 👉 Repo: github.com/abdulmossawer/… #Python #EDA #DataAnalytics
AMossawerdev's tweet image. 📅 Day 47 of #100DaysOfDataAnalytics Completed an EDA on Superstore Sales using Python 🚀 🔍 Insights: ✅ West & East drive sales ✅ Tech = most profitable ✅ Over-discounting = losses 👉 Repo: github.com/abdulmossawer/… #Python #EDA #DataAnalytics
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AMossawerdev's profile picture. 🚀 Learning Data Analytics | #100DaysOfDataAnalytics 💻 Python, SQL, Excel | Sharing my daily progress 📍India | 📂 GitHub: abdulmossawer
Abdul Mossawer | Data Analytics Learner
 @AMossawerdev
Sep 2

Day 46 of #100DaysOfDataAnalytics 📅 🚦 From messy accident records ➝ clarity! Built a Traffic Accident Dashboard 🚗📊 using SQL + Power BI. ✅ Cleaned data ✅ DAX insights ✅ Hotspot detection 📌 GitHub: github.com/abdulmossawer/… 👉 Feedback welcome! 🚀

AMossawerdev's tweet image. Day 46 of #100DaysOfDataAnalytics 📅 🚦 From messy accident records ➝ clarity! Built a Traffic Accident Dashboard 🚗📊 using SQL + Power BI. ✅ Cleaned data ✅ DAX insights ✅ Hotspot detection 📌 GitHub: github.com/abdulmossawer/… 👉 Feedback welcome! 🚀
AMossawerdev's tweet image. Day 46 of #100DaysOfDataAnalytics 📅 🚦 From messy accident records ➝ clarity! Built a Traffic Accident Dashboard 🚗📊 using SQL + Power BI. ✅ Cleaned data ✅ DAX insights ✅ Hotspot detection 📌 GitHub: github.com/abdulmossawer/… 👉 Feedback welcome! 🚀
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AMossawerdev's profile picture. 🚀 Learning Data Analytics | #100DaysOfDataAnalytics 💻 Python, SQL, Excel | Sharing my daily progress 📍India | 📂 GitHub: abdulmossawer
Abdul Mossawer | Data Analytics Learner
 @AMossawerdev
Aug 26

✨ On to the next challenge! Day 45 of #100DaysOfDataAnalytics 🚀 Blinkit SQL Project: 🥛 Low Fat = +40% sales 🍫 Snacks & Dairy = Top 30% sales 🏬 Medium outlets = 45% sales 📍 Tier 3 = +35% revenue 🛒 Type2 outlets = +15% ratings Thanks 🙏 @datawithbaraa #SqLArt #dataanayst

AMossawerdev's tweet image. ✨ On to the next challenge! Day 45 of #100DaysOfDataAnalytics 🚀 Blinkit SQL Project: 🥛 Low Fat = +40% sales 🍫 Snacks & Dairy = Top 30% sales 🏬 Medium outlets = 45% sales 📍 Tier 3 = +35% revenue 🛒 Type2 outlets = +15% ratings Thanks 🙏 @datawithbaraa #SqLArt #dataanayst
AMossawerdev's tweet image. ✨ On to the next challenge! Day 45 of #100DaysOfDataAnalytics 🚀 Blinkit SQL Project: 🥛 Low Fat = +40% sales 🍫 Snacks & Dairy = Top 30% sales 🏬 Medium outlets = 45% sales 📍 Tier 3 = +35% revenue 🛒 Type2 outlets = +15% ratings Thanks 🙏 @datawithbaraa #SqLArt #dataanayst
AMossawerdev's tweet image. ✨ On to the next challenge! Day 45 of #100DaysOfDataAnalytics 🚀 Blinkit SQL Project: 🥛 Low Fat = +40% sales 🍫 Snacks & Dairy = Top 30% sales 🏬 Medium outlets = 45% sales 📍 Tier 3 = +35% revenue 🛒 Type2 outlets = +15% ratings Thanks 🙏 @datawithbaraa #SqLArt #dataanayst
AMossawerdev's tweet image. ✨ On to the next challenge! Day 45 of #100DaysOfDataAnalytics 🚀 Blinkit SQL Project: 🥛 Low Fat = +40% sales 🍫 Snacks & Dairy = Top 30% sales 🏬 Medium outlets = 45% sales 📍 Tier 3 = +35% revenue 🛒 Type2 outlets = +15% ratings Thanks 🙏 @datawithbaraa #SqLArt #dataanayst
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