#100daysofdataanalytics search results
Day 15 of #100DaysOfDataAnalytics Completed a simple Excel project to cap off my Excel learning with the @EverythiingData community.. It's been an amazing journey.. Thanks to @Alex_TheAnalyst for the guided project
Day 78 #100daysofdataanalytics Today, I continued with my statistics course and got introduced to marginal modeling, which is another modeling technique. The concept is not well understood yet, but I got an idea of what it all about.
Day 22 of #100DaysOfDataAnalytics Today, I explored Sub-Queries and Nested Selects in SQL! 🌟 These powerful techniques help break down complex queries into manageable steps, making data retrieval more efficient. Excited to apply this in real-world scenarios!
Day 73 #100daysofdataanalytics I finally completed one of the courses in Data Visualization with Tableau specialization. Submitted my assignment for week 2 and 4 and did a peer-review of about 6 assignments in total.
Day 29 of #100DaysOfDataAnalytics 💻📊 Acing the Importing Data Sets quiz with a clean 100%! ✅ Small wins, big motivation.
Day 74 - 77 #100daysofdataanalytics I haven't posted for about 3 days. I was honestly tired and wanted to rest. Combining school and maintaining consistency here is not easy ngl plus my windows was deactivated, so
Day 72 #100daysofdataanalytics Today, I managed to plot a dual layer map on Tableau and also practice the geocoding that I had learnt some days back.
Day 26: #100DaysOfDataAnalytics Revised the basics of SQL,DDL,DML,built in functions, and advanced SQL concepts!
Day 24: #100DaysOfDataAnalytics Learned Python data analysis basics: SQLite3 for SQL database handling, pandas. read_csv() for reading CSV, sqlite3.connect() for DB connection, pandas. read_sql() for querying DB, and swarmplot() in seaborn for visualization
Day 25:#100DaysOfDataAnalytics Learnt more about accessing databases using python, creating tables,loading data and querying data.
Day 23:#100DaysOfDataAnalytics Learnt about accessing databases using python and revised through basic and intermediate SQL concepts.
Day 62-65 #100daysofdataanalytics I was constantly experiencing BSOD (Blue Screen of Death) on my PC. I didn't know the cause, but it was just constantly happening especially when I'm on VSCode. Coupled with some other things, I was just frustrated and didn't do much
Day 27 of #100DaysOfDataAnalytics Diving into essential Python Packages for Data Science today! 📊 From NumPy to Pandas, Matplotlib to Scikit-Learn, these tools are game-changers in data analysis and visualization.
Day 28: #100DaysOfDataAnalytics Accessing Databases with Python Python simplifies database interactions! The process: 🔹 User inputs queries in Jupyter Notebook 🔹 Python sends API calls to the DBMS 🔹 Database processes and returns data
Day 25: #100DaysOfDataAnalytics Today I learnt about getting Table and Column Details and How to work with real-world datasets, gaining practical experience in handling and analyzing data.
Day 24 Of #100DaysOfDataAnalytics ✅ Entity Relationship Diagrams (ERD). More lessons on Primary and Foreign Keys with some practicals. ✅ Started with simple JOINS -- INNER JOINS -- LEFT JOINS -- RIGHT JOINS ✅ Aliasing and using AS Next up.. SQL aggregations 🚀
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
Hi Hi #datafam Day4/100 of #100Daysofdataanalytics Today i continued on my learning of Tasks of Data Analyst
Hi HI #datafam Day3/100 0f #100DaysOfDataAnalytics Learnt Tasks of a Data Analyst
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.
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.
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
• 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
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
📅 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.
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!
📅 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
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! 🚀
✨ 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
Day 1 of #100DaysOfDataAnalytics Started with Excel basics using a sample dataset: AutoFill & relative/absolute increments SUM, COUNT, AVERAGE, MAX, MIN IF, AND, OR functions ✨ Excel is simple but powerful! 👉 What’s your most-used Excel function? #Excel #DataAnalytics
Day 4 of #100DaysOfDataAnalytics 📊 Built my first Excel Dashboard Project today! ✔ Cleaned raw data ✔ Analyzed sales with formulas & pivots ✔ Added slicers + timeline ✔ Created interactive charts 💡 Big step towards real-world analytics! #Excel #DataAnalytics #100DaysOfCode
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!
📅 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.
Day 15 of #100DaysOfDataAnalytics Completed a simple Excel project to cap off my Excel learning with the @EverythiingData community.. It's been an amazing journey.. Thanks to @Alex_TheAnalyst for the guided project
Day 22/23 of #100DaysOfDataAnalytics Just completed a course on MS Excel. I learnt and explored unique topics beyond the usual. Eagerly getting prepared for another.
Day 2 of #100DaysOfDataAnalytics 📊 Focused on Data Cleaning & Preparation today: Sorting & filtering Logical operations (AND, OR, IF) Realized clean data = better insights! What’s your go-to step for cleaning messy data? #Excel #DataAnalytics #100DaysOfCode
Day 25/26 of #100DaysOfDataAnalytics I enrolled in this course specifically for its emphasis on end-to-end projects, and I've acquired numerous techniques from it. Currently advancing my skills in MS Excel and ready for the next challenge 💯✅
Day 49 of #100DaysOfDataAnalytics I finally completed this data storytelling book today. It's actually a great resource for mastering data visualization and narrative techniques. Its guidance is indispensable for effective communication through data.
Day 45 of #100DaysOfDataAnalytics Today, I decided to enhance my understanding of data storytelling by picking up this book. I covered standard visualization techniques, laying a solid foundation for my learning journey. Tomorrow, I aim to explore advanced visualization methods.
Day 8 of #100DaysOfDataAnalytics 📊 SQL practice today → Constraints: PRIMARY KEY, AUTO INCREMENT, UNIQUE, CHECK String functions: CONCAT, SUBSTRING, REPLACE, REVERSE, TRIM Case functions: UPPER, LOWER & INSERT basics #SQL #DataAnalytics #100DaysOfCode
Day 22 of #100DaysOfDataAnalytics Today, I explored Sub-Queries and Nested Selects in SQL! 🌟 These powerful techniques help break down complex queries into manageable steps, making data retrieval more efficient. Excited to apply this in real-world scenarios!
Day 6 of #100DaysOfDataAnalytics 📊 Learning SQL basics today: CREATE / DELETE database & tables INSERT values, NULL & DEFAULT DISTINCT, WHERE, ORDER BY AND / OR / NOT operators 💡 SQL feels like the backbone of analytics! #SQL #DataAnalytics #100DaysOfCode
Day 4 of #100DaysOfDataAnalytics Today was all about turning raw data into insights: Pivot Tables Slicers & Timelines Built a simple dashboard with charts & graphs ✨ Crazy how Excel can feel like a BI tool! 👉 Have you ever built anything #Excel #DataAnalytics #100DaysOfCode
Day 3 of #100DaysOfDataAnalytics 📊 Learned some powerful Excel functions today: VLOOKUP, INDEX, MATCH Statistical formulas Date functions ✨ Feels like Excel can do almost everything! 👉 Which Excel function do you find most underrated? #Excel #DataAnalytics #100DaysOfCode
📊 Day 42 of #100DaysOfDataAnalytics Built a Fitness Dashboard in Power BI to solve key challenges: 🏋️ Track clients & trainers 💰 Monitor revenue, expenses & profit 📅 Analyze membership trends 🔎 Insights Revenue: 4.1M | Profit: 2.9M Silver plans = highest expiry rate #PowerBI
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! 🚀
Day 7 of #100DaysOfDataAnalytics 📊 SQL learning continues → UPDATE & DELETE rows LIMIT for results MAX, MIN, COUNT, AVG, SUM LIKE, IN, BETWEEN for filtering 💡 SQL makes slicing data so much faster & cleaner! #SQL #DataAnalytics #100DaysOfCode
Day 34-36 of #100DaysOfDataAnalytics I just completed this course with the aim of solidifying my foundational understanding of Power Query in Excel. This achievement marks a significant step forward in my journey.
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