Don't pay for Spotify, use Pandora
Don't pay for Netflix, use Tubi
Don't pay for Hulu, use Pluto TV
Don't pay for Paramount+, use Plex
Don't pay for Apple TV, use Kanopy
Don't pay for Apple Music, use Audiomack
Don't pay for Prime Video, use Freevee
Don't pay for HBO Max, use Crackle
Don't pay for YT Premium, use Brave browser
Don't pay for Peacock, use PBS app
Don't pay for Disney+, use Peacock
(Save this before it goes viral)๏ฟผ
Best YouTube Playlists to learn Programming:
C
https://t.co/tOaWrXrUgj
C++
https://t.co/9Jy3VxCCQf
Python
https://t.co/vMQQuiJqg1
Java
https://t.co/kuVMAbDb4O
C#
https://t.co/whylHG0TIV
SQL
https://t.co/3K8ltNkfB0
Go
https://t.co/owjupWYuCx
PHP
https://t.co/ru0wawpnnP
Swift
https://t.co/HrlmTdc5LZ
Kotlin
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Dart
https://t.co/2fmXG9L7a2
Ruby
https://t.co/GvnwSmr82E
Rust
https://t.co/Z0MWNQh3VL
TypeScript
https://t.co/udlaLu4xPd
R
https://t.co/1eXGmpLaEg
React
https://t.co/NuwcT81Iqi
Next.js
https://t.co/Ffy4cLJDaA
Node.js
https://t.co/2E849OXQWc
HTML/CSS
https://t.co/tz2KDZ2eOo
Machine Learning
https://t.co/c5g7r4v7mh
Deep Learning
https://t.co/xAR83E2sCM
DSA
https://t.co/q1mOj9Bc20
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Follow @SaurabhDub28465 for more of these free courses. productivity content.
I'll send you in the DM.
Free Certification Courses to Learn Data Analytics in 2026:
1. Python
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2. SQL
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3. Statistics and R
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5. Excel and PowerBI
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Rt and Follow me and take these free courses. Will keep on sharing such resources.
Iโm a senior data analyst.
If youโre starting from zero, donโt overcomplicate it.
Learn Excel โ understand data
Learn SQL โ ask better questions
Learn Power BI โ tell the story
Master these first. Everything else comes later.
LIST OF 40 WEBSITES TO FIND REMOTE JOBS
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. Remote OK - remoteok. io
23. DRemote - dremote. io
24. Jooble - 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
๐๐๐๐๐ก๐ก๐๐ฅโ๐ฆ ๐๐จ๐๐๐ ๐ง๐ข ๐๐๐ง๐ ๐๐ก๐๐๐ฌ๐ง๐๐๐ฆ
I get it. Learning data analysis feels impossible right now.
Too much info. Too many tools. Too confusing.
But itโs not. Iโm breaking this down simple for you. ๐งต
๐ช๐๐๐ง ๐๐๐ง๐จ๐๐๐๐ฌ ๐๐ฆ ๐๐๐ง๐ ๐๐ก๐๐๐ฌ๐ฆ๐๐ฆ
Letโs be clear about what data analysis actually is.
Youโre looking at numbers and asking: what story do they tell?
Thatโs literally it.
Data analysis is finding patterns in information and using those patterns to make better decisions.
Simple as that.
๐ง๐๐ ๐ฐ ๐ง๐ฌ๐ฃ๐๐ฆ ๐๐ฉ๐๐ฅ๐ฌ๐๐ข๐๐ฌ ๐ง๐๐๐๐ฆ ๐๐๐ข๐จ๐ง
1.๐๐๐ฆ๐๐ฅ๐๐ฃ๐ง๐๐ฉ๐: What happened in the past?
Example: Last quarter we had 50,000 sales
2.๐๐๐๐๐ก๐ข๐ฆ๐ง๐๐: Why did it happen?
Example: We had 50,000 sales because we ran a promo
3.๐ฃ๐ฅ๐๐ฃ๐๐๐ง๐๐ฉ๐: What will happen next?
Example: If we run the same promo, weโll hit 60,000 sales
4.๐ฃ๐ฅ๐๐ฆ๐๐ฅ๐๐ฃ๐ง๐๐ฉ๐: What should we do?
Example: We should run that promo every quarter
Start with types 1 and 2. Master those before anything else.
๐ค๐จ๐๐ฆ๐ง๐๐ข๐ก๐ฆ ๐ง๐ข ๐๐ฆ๐ ๐๐ฉ๐๐ฅ๐ฌ ๐ฆ๐๐ก๐๐๐ ๐ง๐๐ ๐
Before you analyze anything, ask yourself:
1.What problem are we trying to solve?
2.What data do we actually need?
https://t.co/LMnckzV7Pr the data clean or messy?
4.What patterns jump out?
5.What does it all mean?
6.What action do we take?
These 6 questions are your foundation. Everything else builds on them.
๐ก๐ข๐ช ๐๐๐งโ๐ฆ ๐ง๐๐๐ ๐๐ซ๐๐๐
Hereโs what kills most beginners: they try to learn Excel all at once.
Donโt do that.
Iโm giving you the exact path. Follow it step by step.
๐๐๐ฉ๐๐ ๐ญ: ๐๐ข๐จ๐ก๐๐๐ง๐๐ข๐ก๐ฆ (๐ช๐๐๐๐ฆ ๐ญ-๐ฏ)
This is where you start. I mean it.
Learn:
โขHow to reference cells
โขBasic formulas (SUM, AVERAGE, COUNT, MIN, MAX)
โขHow to sort and filter data
โขHighlighting data with colors
Good YouTube channels:
โขMicrosoft Office official channel
โขAny basic Excel intro will work
Why start here? Because everything else depends on this. You canโt skip it.
๐๐๐ฉ๐๐ ๐ฎ:
Ready? Now we step it up.
Learn:
โขXLOOKUP (finding data across tables)
โขINDEX and MATCH (the pro version of VLOOKUP)
โขPivot tables (this changes everything)
โขData validation (keeping data clean)
YouTube channels I recommend:
โขAlex the Analyst (super clear, data focused)
โขKen Blakely (goes deep but doesnโt get boring)
This is where you start feeling like an actual analyst.
๐๐๐ฉ๐๐ ๐ฏ: ๐๐๐ฉ๐๐ก๐๐๐ ๐ฃ๐ข๐ช๐๐ฅ
Now youโre ready for the power moves.
Learn:
โขPower Query (importing and cleaning data fast)
โขPower Pivot (managing big data sets)
โขDAX formulas (calculations on steroids)
โขBuilding dashboards (making it look professional)
YouTube channels:
โขChris Dutton (knows Power BI inside out)
โขEddie Avtad (Excel advanced tricks)
This is where you become someone companies want to hire.
๐ง๐๐ ๐๐๐๐ก๐ ๐๐ซ๐ฃ๐๐๐ง๐๐ง๐๐ข๐ก๐ฆ
From complete beginner to solid analyst: 3 to 4 months.
Thatโs it. Thatโs reasonable, right?
You spend that time actually learning and practicing, youโll be miles ahead of people who quit after 2 weeks.
๐ ๐๐ฆ๐ง๐๐๐๐ฆ ๐ง๐ข ๐๐ฉ๐ข๐๐
Mistake 1: Skipping basics.
Bad idea. Youโll be lost.
Mistake 2: Only watching videos without doing the work.
Tutorials alone donโt teach you anything. You have to practice.
Mistake 3: Using messy data and wondering why your analysis sucks.
Clean your data first. Always.
Mistake 4: Waiting until you feel ready to start.
Youโll never feel ready. Just start now.
Mistake 5: Giving up after one week.
Learning takes time. Stick with it.
๐ ๐ฌ ๐ฌ๐ข๐จ๐ง๐จ๐๐ ๐๐๐๐ก๐ก๐๐
Iโm building tutorials on my YouTube channel that cover everything I just mentioned.
And my next cohort is starting soon.
If you want guidance, accountability, and real projects to build, thatโs what the cohort is for.
Subscribe: https://t.co/FvH9ZG7zFy