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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Artificial Intelligence & ChatGPT Prompts

Channel Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) in the English language segment is an active participant. Currently, the community unites 42 135 subscribers, ranking 3 232 in the Technologies & Applications category and 9 530 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 42 135 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 177 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.32%. Within the first 24 hours after publication, content typically collects 0.71% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 976 views. Within the first day, a publication typically gains 299 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as learning, algorithm, detection, llm, pattern.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 14 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

42 135
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Posts Archive
Sharing 20+ Diverse Datasets๐Ÿ“Š for Data Science and Analytics practice! 1. How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview 2. Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand 3. Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction 4. Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data 5. Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction 6. Iris Dataset: https://archive.ics.uci.edu/ml/datasets/iris 7. Titanic Dataset: https://www.kaggle.com/c/titanic 8. Wine Quality Dataset: https://archive.ics.uci.edu/ml/datasets/Wine+Quality 9. Heart Disease Dataset: https://archive.ics.uci.edu/ml/datasets/Heart+Disease 10. Bengaluru House Price Dataset: https://www.kaggle.com/amitabhajoy/bengaluru-house-price-data 11. Breast Cancer Dataset: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 12. Credit Card Fraud Detection: https://www.kaggle.com/mlg-ulb/creditcardfraud 13. Netflix Movies and TV Shows: https://www.kaggle.com/shivamb/netflix-shows 14. Trending YouTube Video Statistics: https://www.kaggle.com/datasnaek/youtube-new 15. Walmart Store Sales Forecasting: https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting 16. FIFA 19 Complete Player Dataset: https://www.kaggle.com/karangadiya/fifa19 17. World Happiness Report: https://www.kaggle.com/unsdsn/world-happiness 18. TMDB 5000 Movie Dataset: https://www.kaggle.com/tmdb/tmdb-movie-metadata 19. Students Performance in Exams: https://www.kaggle.com/spscientist/students-performance-in-exams 20. Twitter Sentiment Analysis Dataset: https://www.kaggle.com/kazanova/sentiment140 21. Digit Recognizer: https://www.kaggle.com/c/digit-recognizer ๐Ÿ’ป๐Ÿ” Don't miss out on these valuable resources for advancing your data science journey!

๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜โ€™๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—•๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐Ÿ˜ ๐Ÿš€ Want to Break into Data Analytics?
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜โ€™๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—•๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐Ÿ˜ ๐Ÿš€ Want to Break into Data Analytics? Start with This Free Power BI Course by Microsoft๐ŸŽฏ If youโ€™re trying to enter the field of data analytics but donโ€™t know where to start, Microsoft has your back!๐Ÿ’ป๐Ÿ“ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4jJvuaq Best part? Itโ€™s completely free and created by one of the most trusted names in techโœ…๏ธ

๐Ÿ“ Python Resources to boost your resume in 2025 ๐Ÿ“ ๐Ÿญ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ ๐˜๐—ผ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป This a great course to get started with
๐Ÿ“ Python Resources to boost your resume in 2025 ๐Ÿ“ ๐Ÿญ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ ๐˜๐—ผ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป This a great course to get started with learning Python, if you have no coding experience. ๐Ÿ‘‰ https://kaggle.com/learn/intro-to-programming ๐Ÿฎ. ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—ฐ๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science. ๐Ÿ‘‰ https://kaggle.com/learn/python ๐Ÿฏ. ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น๐˜€ ๐—ถ๐—ป ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐Ÿ‘‰ https://netacad.com/courses/programming/pcap-programming-essentials-python ๐Ÿฐ. Python Data Structure and Algorithms ๐Ÿ‘‰ https://t.me/programming_guide/76 ๐Ÿฑ. ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜๐—ถ๐—ณ๐—ถ๐—ฐ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป You'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization. ๐Ÿ‘‰ https://freecodecamp.org/learn/scientific-computing-with-python/

Repost from Data Analyst Jobs
๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐Ÿ˜ If youโ€™re eager to build r
๐——๐—ฒ๐—น๐—ผ๐—ถ๐˜๐˜๐—ฒ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐Ÿ˜ If youโ€™re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunityโ€”completely free! ๐Ÿ’ก No prior experience required ๐Ÿ“š Ideal for students, freshers, and aspiring data analysts โฐ Self-paced โ€” complete at your convenience ๐Ÿ”— ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—›๐—ฒ๐—ฟ๐—ฒ (๐—™๐—ฟ๐—ฒ๐—ฒ)๐Ÿ‘‡:-  https://pdlink.in/4iKcgA4 Enroll for FREE & Get Certified ๐ŸŽ“

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๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—ช๐—ถ๐˜๐—ต ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ฑ๐—ฒ ๐—ง๐—ต๐—ฎ๐˜ ๐—ช๐—ถ๐—น๐—น ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—ป๐˜๐—น๐˜† ๐—•
๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—ช๐—ถ๐˜๐—ต ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ฑ๐—ฒ ๐—ง๐—ต๐—ฎ๐˜ ๐—ช๐—ถ๐—น๐—น ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—ป๐˜๐—น๐˜† ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ๐Ÿ˜ Tired of Theory? Start Building Real Projects That Get You Noticed๐Ÿ“ If youโ€™re serious about data analytics, building hands-on projects is the best way to grow๐Ÿ“Š ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/42WSueL These projects are built to make you stand outโœ…๏ธ

๐Ÿ–ฅ Roadmap of free courses for learning Python and Machine learning. โ–ชData Science โ–ช AI/ML โ–ช Web Dev 1. Start with this https://kaggle.com/learn/python 2. Take any one of these โฏ https://t.me/pythondevelopersindia/76 โฏ https://youtu.be/rfscVS0vtbw?si=WdvcwfYR3PaLiyJQ 3. Then take this https://netacad.com/courses/programming/pcap-programming-essentials-python 4. Attempt for this certification https://freecodecamp.org/learn/scientific-computing-with-python/ 5. Take it to next level โฏ Data Visualization https://kaggle.com/learn/data-visualization โฏ Machine Learning http://developers.google.com/machine-learning/crash-course https://t.me/datasciencefun/290 โฏ Deep Learning (TensorFlow) http://kaggle.com/learn/intro-to-deep-learning Please more reaction with our posts Credits: https://t.me/datasciencefree

๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspi
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspiring data analyst, software enthusiast, or just curious about AI, nowโ€™s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified ๐ŸŽ“

Java vs Python ๐Ÿ‘†
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Java vs Python ๐Ÿ‘†

๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ Whether youโ€™re a student, fresher, or professional lo
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ Whether youโ€™re a student, fresher, or professional looking to upskill โ€” Microsoft has dropped a series of completely free courses to get you started. Learn SQL ,Power BI & More In 2025  ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/42FxnyM Enroll For FREE & Get Certified ๐ŸŽ“

Do it right! โ–ช๏ธGoogle was the 12th search engine โ–ช๏ธThe iPad was the 12th tablet โ–ช๏ธFacebook was the 10th social network โ–ช๏ธTesla is not the first to produce an electric car It's not about who gets there first. It all depends on who gets it right when the market is ready.

๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†๐Ÿ˜ 1. Introduction to Data Science 2. PwC Dig
๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†๐Ÿ˜ 1. Introduction to Data Science 2. PwC Digital Intelligence 3. BCG Generative AI 4. Data Analytics ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/3WavPct Enroll For FREE & Get Certified ๐ŸŽ“

Data Science Roadmap
Data Science Roadmap

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ Master SQL in 30 Days โ€” With
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ Master SQL in 30 Days โ€” Without Spending a Single Rupee!๐Ÿ’ฐ If youโ€™re serious about data analysis, backend development, or becoming job-ready in tech, SQL is a must-have skill๐Ÿ“Š๐Ÿ‘จโ€๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3GyIbpL You donโ€™t need a fancy degree to master SQLโ€”just this roadmap and daily consistency. Start slow, stay steady, and finish strong.โœ…๏ธ

๐Ÿ’ก What is Recursion?
+6
๐Ÿ’ก What is Recursion?

Don't overwhelm to learn JavaScript, JavaScript is only this much 1.Variables โ€ข var โ€ข let โ€ข const 2. Data Types โ€ข number โ€ข string โ€ข boolean โ€ข null โ€ข undefined โ€ข symbol 3.Declaring variables โ€ข var โ€ข let โ€ข const 4.Expressions Primary expressions โ€ข this โ€ข Literals โ€ข [] โ€ข {} โ€ข function โ€ข class โ€ข function* โ€ข async function โ€ข async function* โ€ข /ab+c/i โ€ข string โ€ข ( ) Left-hand-side expressions โ€ข Property accessors โ€ข ?. โ€ข new โ€ข new .target โ€ข import.meta โ€ข super โ€ข import() 5.operators โ€ข Arithmetic Operators: +, -, *, /, % โ€ข Comparison Operators: ==, ===, !=, !==, <, >, <=, >= โ€ข Logical Operators: &&, ||, ! 6.Control Structures โ€ข if โ€ข else if โ€ข else โ€ข switch โ€ข case โ€ข default 7.Iterations/Loop โ€ข do...while โ€ข for โ€ข for...in โ€ข for...of โ€ข for await...of โ€ข while 8.Functions โ€ข Arrow Functions โ€ข Default parameters โ€ข Rest parameters โ€ข arguments โ€ข Method definitions โ€ข getter โ€ข setter 9.Objects and Arrays โ€ข Object Literal: { key: value } โ€ข Array Literal: [element1, element2, ...] โ€ข Object Methods and Properties โ€ข Array Methods: push(), pop(), shift(), unshift(), splice(), slice(), forEach(), map(), filter() 10.Classes and Prototypes โ€ข Class Declaration โ€ข Constructor Functions โ€ข Prototypal Inheritance โ€ข extends keyword โ€ข super keyword โ€ข Private class features โ€ข Public class fields โ€ข static โ€ข Static initialization blocks 11.Error Handling โ€ข try, โ€ข catch, โ€ข finally (exception handling) ADVANCED CONCEPTS 12.Closures โ€ข Lexical Scope โ€ข Function Scope โ€ข Closure Use Cases 13.Asynchronous JavaScript โ€ข Callback Functions โ€ข Promises โ€ข async/await Syntax โ€ข Fetch API โ€ข XMLHttpRequest 14.Modules โ€ข import and export Statements (ES6 Modules) โ€ข CommonJS Modules (require, module.exports) 15.Event Handling โ€ข Event Listeners โ€ข Event Object โ€ข Bubbling and Capturing 16.DOM Manipulation โ€ข Selecting DOM Elements โ€ข Modifying Element Properties โ€ข Creating and Appending Elements 17.Regular Expressions โ€ข Pattern Matching โ€ข RegExp Methods: test(), exec(), match(), replace() 18.Browser APIs โ€ข localStorage and sessionStorage โ€ข navigator Object โ€ข Geolocation API โ€ข Canvas API 19.Web APIs โ€ข setTimeout(), setInterval() โ€ข XMLHttpRequest โ€ข Fetch API โ€ข WebSockets 20.Functional Programming โ€ข Higher-Order Functions โ€ข map(), reduce(), filter() โ€ข Pure Functions and Immutability 21.Promises and Asynchronous Patterns โ€ข Promise Chaining โ€ข Error Handling with Promises โ€ข Async/Await 22.ES6+ Features โ€ข Template Literals โ€ข Destructuring Assignment โ€ข Rest and Spread Operators โ€ข Arrow Functions โ€ข Classes and Inheritance โ€ข Default Parameters โ€ข let, const Block Scoping 23.Browser Object Model (BOM) โ€ข window Object โ€ข history Object โ€ข location Object โ€ข navigator Object 24.Node.js Specific Concepts โ€ข require() โ€ข Node.js Modules (module.exports) โ€ข File System Module (fs) โ€ข npm (Node Package Manager) 25.Testing Frameworks โ€ข Jasmine โ€ข Mocha โ€ข Jest

Difference between HTTP and HTTPS
Difference between HTTP and HTTPS

Repost from Data Analytics
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ If
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ If youโ€™re serious about becoming a Data Analyst in 2025, you need more than just basic theory๐Ÿ‘จโ€๐Ÿ’ป You must master skills that recruiters actually look for โ€” skills that make you job-ready, confident, and in-demand๐Ÿ”ฅ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3RCPmiY All you need is dedication, practice, and the right resources โ€” and Iโ€™ve got you covered!โœ…๏ธ

๐Ÿ’ก 30 must know terms in project management
๐Ÿ’ก 30 must know terms in project management

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