Manusia meninggal hanya membawa 3 Perkara, yaitu:
1. Sedekah Jariyah
2. Ilmu yang Bermanfaat
3. Anak Sholeh yang Mendoakannya
Serta meninggalkan 3 perkara, yaitu:
1. Hutang Keluarga
2. Beban Hidup Anak & Istri
3. Sugar Baby
๐๐๐
LIST OF 40 WEBSITES TO FIND REMOTE JOBS
1. Linkedin. com
2. Indeed. com
3. Glassdoor. com
4. FlexJobs. com
5. weworkremotely. com
6. Remote. com
7. Upwork. com
8. Freelancer. com
9. Fiverr. com
10. Guru. com
11. Toptal. com
12. AngelList. com
13. Hubstafftalent. com
14. Simplyhired. com
15. Remotive. com
16. Virtualvocations. com
17. workingnomads. com
18. Hired. com
19. cloudpeeps. com
20. taskrabbit. com
21. talent. com
22. remoteok. io
23. dremote. io
24. jooble. org
25. stackoverflow. com/jobs
26. jobspresso. com
27. onlinejobs. ph
28. simplyhired. com
29. themuse. com
30. skipthedrive. com
31. zirtual. com
32. justremote. com
33. hireable. com
34. remoteworkhub. com
35. jobbatical. com
36. freelancewritinggigs. com
37. contentwritingjobs. com
38. problogger. com/jobs
39. behance. net
40. designhill. com
Follow me @Bhanusinghyede
๐ COMPLETE DATA ANALYST ROADMAP 2026 ๐๐ฅ
Many people get overwhelmed trying to break into Data Analytics. To make your journey easier, I have mapped out a clear, step-by-step guide so you know exactly what to focus on. Save this for your study plan! ๐งโ๐ป๐
๐ง STEP 1: Learn Spreadsheet Basics
Before jumping into complex software, master the foundational grid.
Core Skills: Data Entry & Cleaning, Formulas & Functions (VLOOKUP, XLOOKUP, INDEX/MATCH), Sorting & Filtering, Charts & Dashboards.
๐ Tools: Microsoft Excel / Google Sheets.
๐ STEP 2: Master SQL (Non-Negotiable!)
The ultimate language for talking to databases. If you only learn one tool deeply, make it this one.
Core Skills: SELECT & WHERE, JOINS & GROUP BY, Window Functions, CTEs & Subqueries, Query Optimization.
๐ Databases: MySQL, PostgreSQL, or SQL Server.
๐ STEP 3: Python for Data Analysis
Step into programming when your data grows too massive or complex for Excel.
Core Skills: Data Cleaning, Exploratory Data Analysis (EDA), Task Automation, Data Visualization.
๐ Libraries: Pandas, NumPy, Matplotlib, & Seaborn.
๐ STEP 4: Power up Data Visualization
Turning raw rows of numbers into visual stories that anyone can understand instantly.
Core Skills: Interactive Dashboards, Key Performance Indicators (KPIs) & Metrics, Data Storytelling, Extracting Business Insights.
๐ Tools: Power BI or Tableau.
๐งฎ STEP 5: Learn Statistics Basics
Data without context is just noise. You need the math to back up your business decisions.
Core Skills: Mean, Median & Mode, Probability Basics, Correlation, Hypothesis Testing, A/B Testing.
โ๏ธ STEP 6: Business & Domain Knowledge
A great analyst doesn't just crunch numbers; they solve actual business problems.
Core Skills: Business Metrics (LTV, CAC, Churn), Customer Analytics, Sales Tracking, Financial Reporting, KPI Performance Analysis.
๐ STEP 7: Data Cleaning & ETL
Real-world data is incredibly messy. This step is where you learn to filter out the noise.
Core Skills: Handling Missing Data, Removing Duplicates, Data Transformation, Data Validation.
๐ Tools: Power Query or Alteryx.
๐ฅ STEP 8: Build Real Projects (The Job-Getter!)
Stop stuck in "tutorial hell." Build a standout portfolio with these practical projects:
๐ Sales Performance Dashboard
๐ฅ HR & Employee Analytics Tracker
๐ Customer Churn Risk Analysis
๐ฐ Corporate Financial Analytics Report
๐ฌ Netflix Content Data Analysis Project
๐ก My Golden Rule for Success:
Learn SQL โก๏ธ Analyze Data โก๏ธ Create Dashboards โก๏ธ Build Projects
๐ฌ Tap โค๏ธ and SHARE this post with someone who is learning Data Science right now!
(Save this later).
Excel Pro Trick: Compare Two Columns to Find and Return Differences in Excel: How To FILTER Function
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