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Python for Data Analysts

Python for Data Analysts

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Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

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๐Ÿ“ˆ Analytical overview of Telegram channel Python for Data Analysts

Channel Python for Data Analysts (@pythonanalyst) in the English language segment is an active participant. Currently, the community unites 51 493 subscribers, ranking 2 618 in the Technologies & Applications category and 7 413 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 51 493 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 255 over the last 30 days and by 22 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.29%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 209 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • Thematic interests: Content is focused on key topics such as visualization, panda, analyst, sql, analytic.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œFind top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalyticsโ€

Thanks to the high frequency of updates (latest data received on 06 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.

51 493
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+2224 hours
+627 days
+25530 days
Posts Archive
๐—ฆ๐˜๐—ฒ๐—ฝ ๐—œ๐—ป๐˜๐—ผ ๐—ฎ ๐—•๐—–๐—š ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜โ€™๐˜€ ๐—ฆ๐—ต๐—ผ๐—ฒ๐˜€: ๐—™๐—ฟ๐—ฒ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฆ๐—ถ๐—บ๐˜‚๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป + ๐—–๐—ฒ๐—ฟ๏ฟฝ
๐—ฆ๐˜๐—ฒ๐—ฝ ๐—œ๐—ป๐˜๐—ผ ๐—ฎ ๐—•๐—–๐—š ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜โ€™๐˜€ ๐—ฆ๐—ต๐—ผ๐—ฒ๐˜€: ๐—™๐—ฟ๐—ฒ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฆ๐—ถ๐—บ๐˜‚๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป + ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ฒ๐Ÿ˜ ๐Ÿ’ผ Ever Wondered How Data Shapes Real Business Decisions at a Top Consulting Firm?๐Ÿง‘โ€๐Ÿ’ปโœจ๏ธ Now you can experience it firsthand with this interactive simulation from BCG (Boston Consulting Group)๐Ÿ“Š๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/45HWKRP This is a powerful resume booster and a unique way to prove your analytical skillsโœ…๏ธ

If I need to teach someone data analytics from the basics, here is my strategy: 1. I will first remove the fear of tools from that person 2. i will start with the excel because it looks familiar and easy to use 3. I put more emphasis on projects like at least 5 to 6 with the excel. because in industry you learn by doing things 4. I will release the person from the tutorial hell and move into a more action oriented person 5. Then I move to the sql because every job wants it , even with the ai tools you need strong understanding for it if you are going to use it daily 6. After strong understanding, I will push the person to solve 100 to 150 Sql problems from basic to advance 7. It helps the person to develop the analytical thinking 8. Then I push the person to solve 3 case studies as it helps how we pull the data in the real life 9. Then I move the person to power bi to do again 5 projects by using either sql or excel files 10. Now the fear is removed. 11. Now I push the person to solve unguided challenges and present them by video recording as it increases the problem solving, communication and data story telling skills 12. Further it helps you to clear case study round given by most of the companies 13. Now i help the person how to present them in resume and also how these tools are used in real world. 14. You know the interesting fact, all of above is present free in youtube and I also mentor the people through existing youtube videos. 15. But people stuck in the tutorial hell, loose motivation , stay confused that they are either in the right direction or not. 16. As a personal mentor , I help them to get of the tutorial hell, set them in the right direction and they stay motivated when they start to see the difference before amd after mentorship I have curated best 80+ top-notch Data Analytics Resources ๐Ÿ‘‡๐Ÿ‘‡ https://topmate.io/analyst/861634 Hope this helps you ๐Ÿ˜Š

30 Days Python Roadmap for Data Analysts ๐Ÿ‘†
+4
30 Days Python Roadmap for Data Analysts ๐Ÿ‘†

Quick Recap of Power BI Concepts 1๏ธโƒฃ Power Query: The data transformation engine that lets you clean, reshape, and combine data before loading it into Power BI. 2๏ธโƒฃ Data Model: A structure of tables, relationships, and calculated fields that supports report creation. 3๏ธโƒฃ Relationships: Connections between tables that allow you to create reports using data from multiple tables. 4๏ธโƒฃ DAX (Data Analysis Expressions): A formula language used for creating calculated columns, measures, and custom tables. 5๏ธโƒฃ Visualizations: Graphical representations of data, such as bar charts, line charts, maps, and tables. 6๏ธโƒฃ Slicers: Interactive filters added to reports to help users refine data views. 7๏ธโƒฃ Measures: Calculations created using DAX that perform dynamic aggregations based on the context in your report. 8๏ธโƒฃ Calculated Columns: Static columns created using DAX expressions that perform row-by-row calculations. 9๏ธโƒฃ Reports: A collection of visualizations, text, and slicers that tell a story using your data. ๐Ÿ”Ÿ Power BI Service: The online platform where you publish, share, and collaborate on Power BI reports and dashboards. I have curated the best interview resources to crack Power BI Interviews ๐Ÿ‘‡๐Ÿ‘‡ https://t.me/DataSimplifier Hope you'll like it Like this post if you need more content like this ๐Ÿ‘โค๏ธ Share with credits: https://t.me/sqlspecialist Hope it helps :)

๐Ÿ“ ๐…๐ซ๐ž๐ž ๐˜๐จ๐ฎ๐“๐ฎ๐›๐ž ๐‘๐ž๐ฌ๐จ๐ฎ๐ซ๐œ๐ž๐ฌ ๐ญ๐จ ๐๐ฎ๐ข๐ฅ๐ ๐€๐ˆ ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง๐ฌ & ๐€๐ ๐ž๐ง๐ญ๐ฌ ๐–๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐‚๐จ๏ฟฝ
๐Ÿ“ ๐…๐ซ๐ž๐ž ๐˜๐จ๐ฎ๐“๐ฎ๐›๐ž ๐‘๐ž๐ฌ๐จ๐ฎ๐ซ๐œ๐ž๐ฌ ๐ญ๐จ ๐๐ฎ๐ข๐ฅ๐ ๐€๐ˆ ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง๐ฌ & ๐€๐ ๐ž๐ง๐ญ๐ฌ ๐–๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐‚๐จ๐๐ข๐ง๐ ๐Ÿ˜ Want to Create AI Automations & Agents Without Writing a Single Line of Code?๐Ÿง‘โ€๐Ÿ’ป These 5 free YouTube tutorials will take you from complete beginner to automation expert in record time.๐Ÿง‘โ€๐ŸŽ“โœจ๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4lhYwhn Just pure, actionable automation skills โ€” for free.โœ…๏ธ

30 Days Python Roadmap for Data Analysts ๐Ÿ‘†
+4
30 Days Python Roadmap for Data Analysts ๐Ÿ‘†

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐—๐˜‚๐˜€๐˜ ๐Ÿณ ๐——๐—ฎ๐˜†๐˜€: ๐—ง๐—ต๐—ฒ ๐—จ๐—น๐˜๐—ถ๐—บ๐—ฎ๐˜๐—ฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐˜๐—ผ ๐—š๐—ฒ๐˜ ๐—๐—ผ๐—ฏ-๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜†๏ฟฝ
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐—๐˜‚๐˜€๐˜ ๐Ÿณ ๐——๐—ฎ๐˜†๐˜€: ๐—ง๐—ต๐—ฒ ๐—จ๐—น๐˜๐—ถ๐—บ๐—ฎ๐˜๐—ฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐˜๐—ผ ๐—š๐—ฒ๐˜ ๐—๐—ผ๐—ฏ-๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜†๐Ÿ˜ Want to learn SQL in just 7 days?๐Ÿง‘โ€๐ŸŽ“ Whether youโ€™re a complete beginner or prepping for interviews, this 7-day plan will take you from writing your first SELECT query to mastering JOINs, transactions, and even database design.๐Ÿง‘โ€๐Ÿ’ปโœจ๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3Hs7Fps Perfect for students, freshers, and aspiring data analysts.โœ…๏ธ

Data Wrangling with Pandas Cheatsheet
Data Wrangling with Pandas Cheatsheet

Data analysis with Python Important Topics ๐Ÿ˜„โค๏ธ
Data analysis with Python Important Topics ๐Ÿ˜„โค๏ธ

DATA ANALYST Interview Questions (0-3 yr) (SQL, Power BI) ๐Ÿ‘‰ Power BI: Q1: Explain step-by-step how you will create a sales dashboard from scratch. Q2: Explain how you can optimize a slow Power BI report. Q3: Explain Any 5 Chart Types and Their Uses in Representing Different Aspects of Data. ๐Ÿ‘‰SQL: Q1: Explain the difference between RANK(), DENSE_RANK(), and ROW_NUMBER() functions using example. Q2 โ€“ Q4 use Table: employee (EmpID, ManagerID, JoinDate, Dept, Salary) Q2: Find the nth highest salary from the Employee table. Q3: You have an employee table with employee ID and manager ID. Find all employees under a specific manager, including their subordinates at any level. Q4: Write a query to find the cumulative salary of employees department-wise, who have joined the company in the last 30 days. Q5: Find the top 2 customers with the highest order amount for each product category, handling ties appropriately. Table: Customer (CustomerID, ProductCategory, OrderAmount) ๐Ÿ‘‰Behavioral: Q1: Why do you want to become a data analyst and why did you apply to this company? Q2: Describe a time when you had to manage a difficult task with tight deadlines. How did you handle it? I have curated best top-notch Data Analytics Resources ๐Ÿ‘‡๐Ÿ‘‡ https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope this helps you ๐Ÿ˜Š

๐—ง๐—ผ๐—ฝ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—”๐˜€๐—ธ๐—ฒ๐—ฑ ๐—ฏ๐˜† ๐— ๐—ก๐—–๐˜€๐Ÿ˜ If you can answer these Python questions
๐—ง๐—ผ๐—ฝ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—”๐˜€๐—ธ๐—ฒ๐—ฑ ๐—ฏ๐˜† ๐— ๐—ก๐—–๐˜€๐Ÿ˜ If you can answer these Python questions, youโ€™re already ahead of 90% of candidates.๐Ÿง‘โ€๐Ÿ’ปโœจ๏ธ These arenโ€™t your average textbook questions. These are real interview questions asked in top MNCs โ€” designed to test how deeply you understand Python.๐Ÿ“Š๐Ÿ“ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4mu4oVx This is the smart way to prepareโœ…๏ธ

Useful Pandas Functions ๐Ÿ‘†
Useful Pandas Functions ๐Ÿ‘†

DSA in Python ๐Ÿ‘†๐Ÿ‘†
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DSA in Python ๐Ÿ‘†๐Ÿ‘†

๐Ÿฑ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ž๐—ถ๐—ฐ๐—ธ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ (๐—ก๐—ผ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ก
๐Ÿฑ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ž๐—ถ๐—ฐ๐—ธ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ (๐—ก๐—ผ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ก๐—ฒ๐—ฒ๐—ฑ๐—ฒ๐—ฑ!)๐Ÿ˜ Ready to Upgrade Your Skills for a Data-Driven Career in 2025?๐Ÿ“ Whether youโ€™re a student, a fresher, or someone switching to tech, these free beginner-friendly courses will help you get started in data analysis, machine learning, Python, and more๐Ÿ‘จโ€๐Ÿ’ป๐ŸŽฏ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4mwOACf Best For: Beginners ready to dive into real machine learningโœ…๏ธ

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—ธ๐—ป๐—ผ๐˜„ ๐˜„๐—ต๐—ฎ๐˜ ๐—ต๐—ฎ๐—ฝ๐—ฝ๐—ฒ๐—ป๐˜€ ๐—ถ๐—ป ๐—ฎ ๐—ฟ๐—ฒ๐—ฎ๐—น ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„? ๐—•๐—ฎ๐˜€๐—ถ๐—ฐ ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป -Brief introduction about yourself. -Explanation of how you developed an interest in learning Power BI despite having a chemical background. ๐—ง๐—ผ๐—ผ๐—น๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐˜† -Discussion about the tools you are proficient in. -Detailed explanation of a project that demonstrated your proficiency in these tools. ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—˜๐˜…๐—ฝ๐—น๐—ฎ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป Explain about any Data Analytics Project you did, below are some follow-up questions for sales related data analysis project Follow-up Question: Was there any improvement in sales after building the report? Provide a clear before and after scenario in sales post-report creation. What areas did you identify where the company was losing sales, and what were your recommendations? - How do you check the quality of data when it's given to you? Explain your methods for ensuring data quality. - How do you handle null values? Describe your approach to managing null values in datasets. ๐—ฆ๐—ค๐—Ÿ ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ -Explain the order in which SQL clauses are executed. -Write a query to find the percentage of the 18-year-old population. Details: You are given two tables: Table 1: Contains states and their respective populations. Table 2: Contains three columns (state, gender, and population of 18-year-olds). -Explain window functions and how to rank values in SQL. - Difference between JOIN and UNION. -How to return unique values in SQL. ๐—•๐—ฒ๐—ต๐—ฎ๐˜ƒ๐—ถ๐—ผ๐—ฟ๐—ฎ๐—น ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ -Solve a puzzle involving 3 gallons of water in one jar and 2 gallons in another to get exactly 4 gallons. Step-by-step solution for the water puzzle. - What skills have you learned on your own? Discuss the skills you self-taught and their impact on your career. -Describe cases when you showcased team spirit. -โญ ๐—ฆ๐—ผ๐—ฐ๐—ถ๐—ฎ๐—น ๐— ๐—ฒ๐—ฑ๐—ถ๐—ฎ ๐—”๐—ฝ๐—ฝ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป Scenario: Choose any social media app (I choose Discord). Question: What function/feature would you add to the Discord app, and how would you track its success? - Rate yourself on Excel, SQL, and Python out of 10. - What are your strengths in data analytics? I have curated best 80+ top-notch Data Analytics Resources ๐Ÿ‘‡๐Ÿ‘‡ https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Like if it helps :)

๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Wan
๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Want to master Python for Data Analytics without spending a single rupee?๐Ÿ’ฐโœจ๏ธ You donโ€™t need expensive bootcamps or paid certifications to get started. Thanks to the open-source community, there are incredible free GitHub repositories that cover everything you need๐Ÿง‘โ€๐Ÿ’ป๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/47hf59F Donโ€™t just study theoryโ€”start coding, analyzing, and building today. Your portfolio (and future self) will thank youโœ…๏ธ

๐Ÿ”ฐ Python Toolkit for Data Analysis
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๐Ÿ”ฐ Python Toolkit for Data Analysis

Matplotlib.pdf3.99 MB

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๐Ÿš€ Become an Agentic AI Builder โ€” Free 12โ€‘Week Certification by Ready Tensor Ready Tensorโ€™s Agentic AI Developer Certificatio
๐Ÿš€ Become an Agentic AI Builder โ€” Free 12โ€‘Week Certification by Ready Tensor Ready Tensorโ€™s Agentic AI Developer Certification is a free, project first 12โ€‘week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit. The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building โ€” each project is reviewed against rigorous standards. You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems. ๐Ÿ‘‰ Apply now: https://www.readytensor.ai/agentic-ai-cert/