Data Analytics

📚Excel Roadmap: From Basics to Advanced☑️ 🟢 Beginner Level 1. Excel Overview - What is Excel? - Workbook, Worksheet, Cells - Navigating the interface 2. Basic Data Entry - Entering numbers, text, dates - Autofill and Flash Fill - Formatting cells (font, color, alignment) 3. Basic Formulas - SUM, AVERAGE, MIN, MAX - Simple arithmetic (+, -, *, /) - Cell references (relative, absolute) 4. Basic Charts - Bar, Column, Pie charts - Inserting and customizing charts - Using Chart Tools 🟡 Intermediate Level 5. Data Management - Sorting and filtering data - Conditional formatting - Data validation (dropdowns) 6. Intermediate Formulas - IF, COUNTIF, SUMIF - Text functions: CONCATENATE, LEFT, RIGHT, MID - Date functions: TODAY, NOW, DATE 7. Tables & Named Ranges - Creating and managing Tables - Using Named Ranges for easier formulas 8. Pivot Tables - Creating PivotTables - Grouping and summarizing data - Using slicers and filters 🔵 Advanced Level 9. Advanced Formulas - VLOOKUP, HLOOKUP, INDEX & MATCH - Array formulas - Nested IFs and logical formulas 10. Advanced Charts & Dashboards - Combo charts - Sparklines - Interactive dashboards with slicers 11. Macros & VBA Basics - Recording macros - Basic VBA editing - Automating repetitive tasks 12. Data Analysis Tools - What-If Analysis (Goal Seek, Data Tables) - Solver Add-in - Power Query for data transformation 13. Collaboration & Security - Sharing & protecting workbooks - Track changes & comments - Version history 14. Power Pivot & DAX - Importing large datasets - Creating relationships - Writing basic DAX formulas 🔥 Pro Tip: Practice by building monthly budgets, sales reports, and dashboards. React ❤️ for detailed explanation!

10 Must-Have Habits for Data Analysts📊🧠 1️⃣ Develop strong Excel & SQL skills 2️⃣ Master data cleaning — it’s 80% of the job 3️⃣ Always validate your data sources 4️⃣ Visualize data clearly (use Power BI/Tableau) 5️⃣ Ask the right business questions 6️⃣ Stay curious — dig deeper into patterns 7️⃣ Document your analysis & assumptions 8️⃣ Communicate insights, not just numbers 9️⃣ Learn basic Python or R for automation 🔟 Keep learning: analytics is always evolving 💬Tap ❤️ for more!

You're STILL a data analyst even if... - you only use Excel - you forgot the SQL syntax - you bombed the big interview - you don't know how to program - you did an analysis completely wrong - you can't remember the right function name - you have to Google how to do something easy you've done before You're NOT a data analyst when... - you give up SO DON'T GIVE UP! KEEP GOING!

If I had to start learning data analyst all over again, I'd follow this: 1- Learn SQL: ---- Joins (Inner, Left, Full outer and Self) ---- Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) ---- Group by and Having clause ---- CTE and Subquery ---- Windows Function (Rank, Dense Rank, Row number, Lead, Lag etc) 2- Learn Excel: ---- Mathematical (COUNT, SUM, AVG, MIN, MAX, etc) ---- Logical Functions (IF, AND, OR, NOT) ---- Lookup and Reference (VLookup, INDEX, MATCH etc) ---- Pivot Table, Filters, Slicers 3- Learn BI Tools: ---- Data Integration and ETL (Extract, Transform, Load) ---- Report Generation ---- Data Exploration and Ad-hoc Analysis ---- Dashboard Creation 4- Learn Python (Pandas) Optional: ---- Data Structures, Data Cleaning and Preparation ---- Data Manipulation ---- Merging and Joining Data (Merging and joining DataFrames -similar to SQL joins) ---- Data Visualization (Basic plotting using Matplotlib and Seaborn) Hope this helps you 😊

If you want to be a data analyst, you should work to become as good at SQL as possible.📱 1. SELECT What a surprise! I need to choose what data I want to return. 2. FROM Again, no shock here. I gotta choose what table I am pulling my data from. 3. WHERE This is also pretty basic, but I almost always filter the data to whatever range I need and filter the data to whatever condition I’m looking for. 4. JOIN This may surprise you that the next one isn’t one of the other core SQL clauses, but at least for my work, I utilize some kind of join in almost every query I write. 5. Calculations This isn’t necessarily a function of SQL, but I write a lot of calculations in my queries. Common examples include finding the time between two dates and multiplying and dividing values to get what I need. Add operators and a couple data cleaning functions and that’s 80%+ of the SQL I write on the job. React ♥️ for more