✅ Data Analytics Roadmap for Freshers 🚀📊
1️⃣ Understand What a Data Analyst Does
🔍 Analyze data, find insights, create dashboards, support business decisions.
2️⃣ Start with Excel
📈 Learn:
– Basic formulas
– Charts & Pivot Tables
– Data cleaning
💡 Excel is still the #1 tool in many companies.
3️⃣ Learn SQL
🧩 SQL helps you pull and analyze data from databases.
Start with:
– SELECT, WHERE, JOIN, GROUP BY
🛠️ Practice on platforms like W3Schools or Mode Analytics.
4️⃣ Pick a Programming Language
🐍 Start with Python (easier) or R
– Learn pandas, matplotlib, numpy
– Do small projects (e.g. analyze sales data)
5️⃣ Data Visualization Tools
📊 Learn:
– Power BI or Tableau
– Build simple dashboards
💡 Start with free versions or YouTube tutorials.
6️⃣ Practice with Real Data
🔍 Use sites like Kaggle or Data.gov
– Clean, analyze, visualize
– Try small case studies (sales report, customer trends)
7️⃣ Create a Portfolio
💻 Share projects on:
– GitHub
– Notion or a simple website
📌 Add visuals + brief explanations of your insights.
8️⃣ Improve Soft Skills
🗣️ Focus on:
– Presenting data in simple words
– Asking good questions
– Thinking critically about patterns
9️⃣ Certifications to Stand Out
🎓 Try:
– Google Data Analytics (Coursera)
– IBM Data Analyst
– LinkedIn Learning basics
🔟 Apply for Internships & Entry Jobs
🎯 Titles to look for:
– Data Analyst (Intern)
– Junior Analyst
– Business Analyst
💬 React ❤️ for more!
1️⃣ Understand What a Data Analyst Does
🔍 Analyze data, find insights, create dashboards, support business decisions.
2️⃣ Start with Excel
📈 Learn:
– Basic formulas
– Charts & Pivot Tables
– Data cleaning
💡 Excel is still the #1 tool in many companies.
3️⃣ Learn SQL
🧩 SQL helps you pull and analyze data from databases.
Start with:
– SELECT, WHERE, JOIN, GROUP BY
🛠️ Practice on platforms like W3Schools or Mode Analytics.
4️⃣ Pick a Programming Language
🐍 Start with Python (easier) or R
– Learn pandas, matplotlib, numpy
– Do small projects (e.g. analyze sales data)
5️⃣ Data Visualization Tools
📊 Learn:
– Power BI or Tableau
– Build simple dashboards
💡 Start with free versions or YouTube tutorials.
6️⃣ Practice with Real Data
🔍 Use sites like Kaggle or Data.gov
– Clean, analyze, visualize
– Try small case studies (sales report, customer trends)
7️⃣ Create a Portfolio
💻 Share projects on:
– GitHub
– Notion or a simple website
📌 Add visuals + brief explanations of your insights.
8️⃣ Improve Soft Skills
🗣️ Focus on:
– Presenting data in simple words
– Asking good questions
– Thinking critically about patterns
9️⃣ Certifications to Stand Out
🎓 Try:
– Google Data Analytics (Coursera)
– IBM Data Analyst
– LinkedIn Learning basics
🔟 Apply for Internships & Entry Jobs
🎯 Titles to look for:
– Data Analyst (Intern)
– Junior Analyst
– Business Analyst
💬 React ❤️ for more!
❤17
𝗔𝗜 & 𝗠𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗕𝘆 𝗜𝗜𝗧 𝗣𝗮𝘁𝗻𝗮 😍
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Companies are actively hiring candidates with AI & ML skills.
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🔥 Hands-on industry projects
📈 Career-ready skills for AI & ML jobs
Deadline :- March 1, 2026
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗦𝗰𝗵𝗼𝗹𝗮𝗿𝘀𝗵𝗶𝗽 𝗧𝗲𝘀𝘁 👇 :-
https://pdlink.in/4pBNxkV
✅ Limited seats only
Placement Assistance With 5000+ companies.
Companies are actively hiring candidates with AI & ML skills.
🎓 Prestigious IIT certificate
🔥 Hands-on industry projects
📈 Career-ready skills for AI & ML jobs
Deadline :- March 1, 2026
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗦𝗰𝗵𝗼𝗹𝗮𝗿𝘀𝗵𝗶𝗽 𝗧𝗲𝘀𝘁 👇 :-
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✅ 🔤 A–Z of Excel Functions 📊⚡💻
A – AVERAGE()
Calculates the average of a range of values.
B – COUNTBLANK()
Counts empty cells in a range.
C – COUNT()
Counts numeric values in a range.
D – DATE()
Creates a date from year, month, and day.
E – EXACT()
Checks if two text values are exactly the same.
F – FIND()
Finds position of text within another text (case-sensitive).
G – CONCAT()
Combines text from multiple cells.
H – HLOOKUP()
Searches data horizontally in a table.
I – IF()
Performs logical test and returns value based on condition.
J – JOIN (TEXTJOIN())
Combines text with delimiter.
K – LARGE()
Returns the nth largest value.
L – LEFT()
Extracts characters from left side of text.
M – MAX()
Returns highest value.
N – NOW()
Returns current date and time.
O – OR()
Returns TRUE if any condition is true.
P – PMT()
Calculates loan payment amount.
Q – QUARTILE()
Returns quartile value of dataset.
R – RIGHT()
Extracts characters from right side of text.
S – SUM()
Adds values in a range.
T – TRIM()
Removes extra spaces from text.
U – UPPER()
Converts text to uppercase.
V – VLOOKUP()
Searches data vertically in a table.
W – WEEKDAY()
Returns day of week from a date.
X – XLOOKUP()
Modern lookup function replacing VLOOKUP/HLOOKUP.
Y – YEAR()
Extracts year from date.
Z – Z.TEST()
Returns probability value for z-test.
❤️ Double Tap for More
A – AVERAGE()
Calculates the average of a range of values.
B – COUNTBLANK()
Counts empty cells in a range.
C – COUNT()
Counts numeric values in a range.
D – DATE()
Creates a date from year, month, and day.
E – EXACT()
Checks if two text values are exactly the same.
F – FIND()
Finds position of text within another text (case-sensitive).
G – CONCAT()
Combines text from multiple cells.
H – HLOOKUP()
Searches data horizontally in a table.
I – IF()
Performs logical test and returns value based on condition.
J – JOIN (TEXTJOIN())
Combines text with delimiter.
K – LARGE()
Returns the nth largest value.
L – LEFT()
Extracts characters from left side of text.
M – MAX()
Returns highest value.
N – NOW()
Returns current date and time.
O – OR()
Returns TRUE if any condition is true.
P – PMT()
Calculates loan payment amount.
Q – QUARTILE()
Returns quartile value of dataset.
R – RIGHT()
Extracts characters from right side of text.
S – SUM()
Adds values in a range.
T – TRIM()
Removes extra spaces from text.
U – UPPER()
Converts text to uppercase.
V – VLOOKUP()
Searches data vertically in a table.
W – WEEKDAY()
Returns day of week from a date.
X – XLOOKUP()
Modern lookup function replacing VLOOKUP/HLOOKUP.
Y – YEAR()
Extracts year from date.
Z – Z.TEST()
Returns probability value for z-test.
❤️ Double Tap for More
❤26😁3👍1
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𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗱𝗶𝗻𝗴 & 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗠𝗡𝗖𝘀
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Eligibility:- BE/BTech / BCA / BSc
🌟 2000+ Students Placed
🤝 500+ Hiring Partners
💼 Avg. Rs. 7.4 LPA
🚀 41 LPA Highest Package
𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼👇:-
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Data Analytics isn't rocket science. It's just a different language.
Here's a beginner's guide to the world of data analytics:
1) Understand the fundamentals:
- Mathematics
- Statistics
- Technology
2) Learn the tools:
- SQL
- Python
- Excel (yes, it's still relevant!)
3) Understand the data:
- What do you want to measure?
- How are you measuring it?
- What metrics are important to you?
4) Data Visualization:
- A picture is worth a thousand words
5) Practice:
- There's no better way to learn than to do it yourself.
Data Analytics is a valuable skill that can help you make better decisions, understand your audience better, and ultimately grow your business.
It's never too late to start learning!
Here's a beginner's guide to the world of data analytics:
1) Understand the fundamentals:
- Mathematics
- Statistics
- Technology
2) Learn the tools:
- SQL
- Python
- Excel (yes, it's still relevant!)
3) Understand the data:
- What do you want to measure?
- How are you measuring it?
- What metrics are important to you?
4) Data Visualization:
- A picture is worth a thousand words
5) Practice:
- There's no better way to learn than to do it yourself.
Data Analytics is a valuable skill that can help you make better decisions, understand your audience better, and ultimately grow your business.
It's never too late to start learning!
❤11
𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗢𝗳𝗳𝗲𝗿𝗲𝗱 𝗕𝘆 𝗜𝗜𝗧'𝘀 & 𝗜𝗜𝗠 😍
Placement Assistance With 5000+ companies.
Companies are actively hiring candidates with AI & ML skills.
⏳ Deadline: 28th Feb 2026
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Placement Assistance With 5000+ companies.
Companies are actively hiring candidates with AI & ML skills.
⏳ Deadline: 28th Feb 2026
𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://pdlink.in/4kucM7E
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❤1
📊 Complete Roadmap to Master Excel
📂 1. Learn Basics
– Interface, cells, rows & columns
– Data entry & formatting basics
📂 2. Understand Formulas & Functions
– Basic formulas: SUM, AVERAGE, COUNT
– Logical functions: IF, AND, OR
– Text functions: CONCATENATE, LEFT, RIGHT
📂 3. Work with Data
– Sorting, filtering, conditional formatting
– Data validation
📂 4. Learn Advanced Functions
– VLOOKUP, HLOOKUP, INDEX & MATCH
– Date & time functions
📂 5. Master Pivot Tables & Charts
– Summarize large data sets
– Create dynamic reports & visualizations
📂 6. Use Data Analysis Tools
– What-If analysis, Goal Seek, Solver
📂 7. Automate with Macros & VBA Basics
– Record macros to automate repetitive tasks
– Basic VBA scripting for custom solutions
📂 8. Practice Real-World Projects
– Budget tracker, sales dashboard, inventory management
💬 Tap ❤️ for more!
📂 1. Learn Basics
– Interface, cells, rows & columns
– Data entry & formatting basics
📂 2. Understand Formulas & Functions
– Basic formulas: SUM, AVERAGE, COUNT
– Logical functions: IF, AND, OR
– Text functions: CONCATENATE, LEFT, RIGHT
📂 3. Work with Data
– Sorting, filtering, conditional formatting
– Data validation
📂 4. Learn Advanced Functions
– VLOOKUP, HLOOKUP, INDEX & MATCH
– Date & time functions
📂 5. Master Pivot Tables & Charts
– Summarize large data sets
– Create dynamic reports & visualizations
📂 6. Use Data Analysis Tools
– What-If analysis, Goal Seek, Solver
📂 7. Automate with Macros & VBA Basics
– Record macros to automate repetitive tasks
– Basic VBA scripting for custom solutions
📂 8. Practice Real-World Projects
– Budget tracker, sales dashboard, inventory management
💬 Tap ❤️ for more!
❤36👍3
𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗕𝘆 𝗜𝗜𝗧 𝗥𝗼𝗼𝗿𝗸𝗲𝗲 😍
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💫Companies are actively hiring candidates with Data Science & AI skills.
Deadline: 8th March 2026
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https://pdlink.in/4kucM7E
✅ Limited seats only
👉Learn from IIT faculty and industry experts
🔥100% Online | 6 Months
🎓Get Prestigious Certificate
💫Companies are actively hiring candidates with Data Science & AI skills.
Deadline: 8th March 2026
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗦𝗰𝗵𝗼𝗹𝗮𝗿𝘀𝗵𝗶𝗽 𝗧𝗲𝘀𝘁 👇 :-
https://pdlink.in/4kucM7E
✅ Limited seats only
👍2
Monetizing Your Data Analytics Skills: Side Hustles & Passive Income Streams
Once you've mastered data analytics, you can leverage your expertise to generate income beyond your 9-to-5 job. Here’s how:
1️⃣ Freelancing & Consulting 💼
Offer data analytics, visualization, or SQL expertise on platforms like Upwork, Fiverr, and Toptal.
Provide business intelligence solutions, dashboard building, or data cleaning services.
Work with startups, small businesses, and enterprises remotely.
2️⃣ Creating & Selling Online Courses 🎥
Teach SQL, Power BI, Python, or Data Visualization on platforms like Udemy, Coursera, and Teachable.
Offer exclusive workshops or bootcamps via LinkedIn, Gumroad, or your website.
Monetize your expertise once and earn passive income forever.
3️⃣ Blogging & Technical Writing ✍️
Write data-related articles on Medium, Towards Data Science, or Substack.
Start a newsletter focused on analytics trends and career growth.
Earn through Medium Partner Program, sponsored posts, or affiliate marketing.
4️⃣ YouTube & Social Media Monetization 📹
Create a YouTube channel sharing tutorials on SQL, Power BI, Python, and real-world analytics projects.
Monetize through ads, sponsorships, and memberships.
Grow a LinkedIn, Twitter, or Instagram audience and collaborate with brands.
5️⃣ Affiliate Marketing in Data Analytics 🔗
Promote courses, books, tools (Tableau, Power BI, Python IDEs) and earn commissions.
Join Udemy, Coursera, or DataCamp affiliate programs.
Recommend data tools, laptops, or online learning resources through blogs or YouTube.
6️⃣ Selling Templates & Dashboards 📊
Create Power BI or Tableau templates and sell them on Gumroad or Etsy.
Offer SQL query libraries, Excel automation scripts, or data storytelling templates.
Provide customized analytics solutions for different industries.
7️⃣ Writing E-books or Guides 📖
Publish an e-book on SQL, Power BI, or breaking into data analytics.
Sell through Amazon Kindle, Gumroad, or your website.
Provide case studies, real-world datasets, and practice problems.
8️⃣ Building a Subscription-Based Community 🌍
Create a private Slack, Discord, or Telegram group for data professionals.
Charge for premium access, mentorship, and exclusive content.
Offer live Q&A sessions, job referrals, and networking opportunities.
9️⃣ Developing & Selling AI-Powered Tools 🤖
Build Python scripts, automation tools, or AI-powered analytics apps.
Sell on GitHub, Gumroad, or AppSumo.
Offer API-based solutions for businesses needing automated insights.
🔟 Landing Paid Speaking Engagements & Workshops 🎤
Speak at data conferences, webinars, and corporate training events.
Offer paid workshops for businesses or universities.
Become a recognized expert in your niche and command high fees.
Start Small, Scale Fast! 🚀
The data analytics field offers endless opportunities to earn beyond a job. Start with freelancing, content creation, or digital products—then scale it into a business!
Hope it helps :)
#dataanalytics
Once you've mastered data analytics, you can leverage your expertise to generate income beyond your 9-to-5 job. Here’s how:
1️⃣ Freelancing & Consulting 💼
Offer data analytics, visualization, or SQL expertise on platforms like Upwork, Fiverr, and Toptal.
Provide business intelligence solutions, dashboard building, or data cleaning services.
Work with startups, small businesses, and enterprises remotely.
2️⃣ Creating & Selling Online Courses 🎥
Teach SQL, Power BI, Python, or Data Visualization on platforms like Udemy, Coursera, and Teachable.
Offer exclusive workshops or bootcamps via LinkedIn, Gumroad, or your website.
Monetize your expertise once and earn passive income forever.
3️⃣ Blogging & Technical Writing ✍️
Write data-related articles on Medium, Towards Data Science, or Substack.
Start a newsletter focused on analytics trends and career growth.
Earn through Medium Partner Program, sponsored posts, or affiliate marketing.
4️⃣ YouTube & Social Media Monetization 📹
Create a YouTube channel sharing tutorials on SQL, Power BI, Python, and real-world analytics projects.
Monetize through ads, sponsorships, and memberships.
Grow a LinkedIn, Twitter, or Instagram audience and collaborate with brands.
5️⃣ Affiliate Marketing in Data Analytics 🔗
Promote courses, books, tools (Tableau, Power BI, Python IDEs) and earn commissions.
Join Udemy, Coursera, or DataCamp affiliate programs.
Recommend data tools, laptops, or online learning resources through blogs or YouTube.
6️⃣ Selling Templates & Dashboards 📊
Create Power BI or Tableau templates and sell them on Gumroad or Etsy.
Offer SQL query libraries, Excel automation scripts, or data storytelling templates.
Provide customized analytics solutions for different industries.
7️⃣ Writing E-books or Guides 📖
Publish an e-book on SQL, Power BI, or breaking into data analytics.
Sell through Amazon Kindle, Gumroad, or your website.
Provide case studies, real-world datasets, and practice problems.
8️⃣ Building a Subscription-Based Community 🌍
Create a private Slack, Discord, or Telegram group for data professionals.
Charge for premium access, mentorship, and exclusive content.
Offer live Q&A sessions, job referrals, and networking opportunities.
9️⃣ Developing & Selling AI-Powered Tools 🤖
Build Python scripts, automation tools, or AI-powered analytics apps.
Sell on GitHub, Gumroad, or AppSumo.
Offer API-based solutions for businesses needing automated insights.
🔟 Landing Paid Speaking Engagements & Workshops 🎤
Speak at data conferences, webinars, and corporate training events.
Offer paid workshops for businesses or universities.
Become a recognized expert in your niche and command high fees.
Start Small, Scale Fast! 🚀
The data analytics field offers endless opportunities to earn beyond a job. Start with freelancing, content creation, or digital products—then scale it into a business!
Hope it helps :)
#dataanalytics
❤14
𝗜𝗜𝗧 𝗥𝗼𝗼𝗿𝗸𝗲𝗲 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀📊 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗻𝗱 𝗚𝗲𝗻 𝗔𝗜 😍
Placement Assistance With 5000+ companies.
🔥 Companies are actively hiring candidates with Data Analytics skills.
🎓 Prestigious IIT certificate
🔥 Hands-on industry projects
📈 Career-ready skills for data & AI jobs
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-
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Limited seats available. Apply now to secure your spot
Placement Assistance With 5000+ companies.
🔥 Companies are actively hiring candidates with Data Analytics skills.
🎓 Prestigious IIT certificate
🔥 Hands-on industry projects
📈 Career-ready skills for data & AI jobs
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-
https://pdlink.in/4rwqIAm
Limited seats available. Apply now to secure your spot
❤1
✅ If you're serious about learning Power BI — follow this roadmap 📊🚀
1. Understand the basics of data visualization: Importance, principles, and best practices 🎨
2. Get familiar with Power BI components: Power BI Desktop, Power BI Service, and Power BI Mobile 📱
3. Install Power BI Desktop: Set up your environment to start building reports 🖥️
4. Learn about data sources: Connect to various data sources (Excel, SQL Server, Web, etc.) 🔗
5. Explore the Power Query Editor: Data transformation and cleaning techniques (ETL processes) 🔄
6. Understand data modeling concepts: Relationships, tables, and data hierarchies 📊
7. Study DAX (Data Analysis Expressions): Basic formulas and functions for calculations 🔢
8. Create visualizations: Charts, tables, maps, and custom visuals 📈
9. Learn about interactive features: Slicers, filters, tooltips, and drill-through options 🔍
10. Design effective dashboards: Layout, color schemes, and user experience principles 🖌️
11. Explore Power BI Service: Publishing reports, sharing dashboards, and collaboration features 🌐
12. Understand row-level security (RLS): Implementing security measures for data access 🔒
13. Learn about Power BI apps: Creating and managing apps for users 📦
14. Explore advanced DAX functions: Time intelligence, CALCULATE, and context transition ⏳
15. Familiarize yourself with Power BI Report Server: On-premises reporting solutions 🏢
16. Integrate with other Microsoft tools: Excel, Teams, and SharePoint for enhanced collaboration 🔗
17. Study performance optimization techniques: Improving report performance and efficiency ⚡
18. Stay updated on new features and updates: Follow the Power BI blog and community forums 📰
19. Practice with sample datasets: Use resources like Microsoft’s sample data or Kaggle datasets 📊
20. Consider obtaining certifications: Microsoft Certified: Data Analyst Associate 🎓
21. Join online communities: Engage with forums like Power BI Community, LinkedIn groups, or Reddit 📢
22. Build a portfolio of projects: Showcase your skills with real-world examples and case studies 🌍
23. Attend webinars and workshops: Learn from experts and gain insights into best practices 🎤
24. Experiment with storytelling through data: Craft narratives that convey insights effectively 📖
Tip: Focus on practical application—build reports based on real business scenarios!
💬 Tap ❤️ for more!
1. Understand the basics of data visualization: Importance, principles, and best practices 🎨
2. Get familiar with Power BI components: Power BI Desktop, Power BI Service, and Power BI Mobile 📱
3. Install Power BI Desktop: Set up your environment to start building reports 🖥️
4. Learn about data sources: Connect to various data sources (Excel, SQL Server, Web, etc.) 🔗
5. Explore the Power Query Editor: Data transformation and cleaning techniques (ETL processes) 🔄
6. Understand data modeling concepts: Relationships, tables, and data hierarchies 📊
7. Study DAX (Data Analysis Expressions): Basic formulas and functions for calculations 🔢
8. Create visualizations: Charts, tables, maps, and custom visuals 📈
9. Learn about interactive features: Slicers, filters, tooltips, and drill-through options 🔍
10. Design effective dashboards: Layout, color schemes, and user experience principles 🖌️
11. Explore Power BI Service: Publishing reports, sharing dashboards, and collaboration features 🌐
12. Understand row-level security (RLS): Implementing security measures for data access 🔒
13. Learn about Power BI apps: Creating and managing apps for users 📦
14. Explore advanced DAX functions: Time intelligence, CALCULATE, and context transition ⏳
15. Familiarize yourself with Power BI Report Server: On-premises reporting solutions 🏢
16. Integrate with other Microsoft tools: Excel, Teams, and SharePoint for enhanced collaboration 🔗
17. Study performance optimization techniques: Improving report performance and efficiency ⚡
18. Stay updated on new features and updates: Follow the Power BI blog and community forums 📰
19. Practice with sample datasets: Use resources like Microsoft’s sample data or Kaggle datasets 📊
20. Consider obtaining certifications: Microsoft Certified: Data Analyst Associate 🎓
21. Join online communities: Engage with forums like Power BI Community, LinkedIn groups, or Reddit 📢
22. Build a portfolio of projects: Showcase your skills with real-world examples and case studies 🌍
23. Attend webinars and workshops: Learn from experts and gain insights into best practices 🎤
24. Experiment with storytelling through data: Craft narratives that convey insights effectively 📖
Tip: Focus on practical application—build reports based on real business scenarios!
💬 Tap ❤️ for more!
❤11
🚀𝗚𝗲𝘁 𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗜𝗜𝗧's & 𝗜𝗜𝗠
Dreaming of studying at an IIT and building a career in AI ? This is your chance
✅ Prestigious IIT Certification
✅ Learn directly from IIT Professors
✅ Placement Assistance with 5000+ Companies
💡 Today’s top companies are actively looking for professionals with AI skills.
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :-
𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://pdlink.in/4kucM7E
𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA
𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4ay4wPG
⏳ Limited seats – Register before the link expires!
Dreaming of studying at an IIT and building a career in AI ? This is your chance
✅ Prestigious IIT Certification
✅ Learn directly from IIT Professors
✅ Placement Assistance with 5000+ Companies
💡 Today’s top companies are actively looking for professionals with AI skills.
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :-
𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://pdlink.in/4kucM7E
𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA
𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4ay4wPG
⏳ Limited seats – Register before the link expires!
❤3👍1
Data Analyst Interview Preparation Roadmap ✅
Technical skills to revise
- SQL
Write queries from scratch.
Practice joins, group by, subqueries.
Handle duplicates and NULLs.
Window functions basics.
- Excel
Pivot tables without help.
XLOOKUP and IF confidently.
Data cleaning steps.
- Power BI or Tableau
Explain data model.
Write basic DAX.
Explain one dashboard end to end.
- Statistics
Mean vs median.
Standard deviation meaning.
Correlation vs causation.
- Python. If required
Pandas basics.
Groupby and filtering.
Interview question types
- SQL questions
Top N per group.
Running totals.
Duplicate records.
Date based queries.
- Business case questions
Why did sales drop.
Which metric matters most and why.
- Dashboard questions
Explain one KPI.
How users will use this report.
- Project questions
Data source.
Cleaning logic.
Key insight.
Business action.
Resume preparation
- Must have Tools section.
- One strong project.
- Metrics driven points.
Example: Improved reporting time by 30 percent using Power BI.
Mock interviews
- Practice explaining out loud.
- Time your answers.
- Use real datasets.
Daily prep plan
1 SQL problem.
1 dashboard review.
10 interview questions.
- Common mistakes
Memorizing queries.
No project explanation.
Weak business reasoning.
- Final task
- Prepare one project story.
- Prepare one SQL solution on paper.
- Prepare one business metric explanation.
Double Tap ♥️ For More
Technical skills to revise
- SQL
Write queries from scratch.
Practice joins, group by, subqueries.
Handle duplicates and NULLs.
Window functions basics.
- Excel
Pivot tables without help.
XLOOKUP and IF confidently.
Data cleaning steps.
- Power BI or Tableau
Explain data model.
Write basic DAX.
Explain one dashboard end to end.
- Statistics
Mean vs median.
Standard deviation meaning.
Correlation vs causation.
- Python. If required
Pandas basics.
Groupby and filtering.
Interview question types
- SQL questions
Top N per group.
Running totals.
Duplicate records.
Date based queries.
- Business case questions
Why did sales drop.
Which metric matters most and why.
- Dashboard questions
Explain one KPI.
How users will use this report.
- Project questions
Data source.
Cleaning logic.
Key insight.
Business action.
Resume preparation
- Must have Tools section.
- One strong project.
- Metrics driven points.
Example: Improved reporting time by 30 percent using Power BI.
Mock interviews
- Practice explaining out loud.
- Time your answers.
- Use real datasets.
Daily prep plan
1 SQL problem.
1 dashboard review.
10 interview questions.
- Common mistakes
Memorizing queries.
No project explanation.
Weak business reasoning.
- Final task
- Prepare one project story.
- Prepare one SQL solution on paper.
- Prepare one business metric explanation.
Double Tap ♥️ For More
❤20
𝗗𝗲𝘃𝗢𝗽𝘀 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗕𝘆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝘀😍
- Bridge the Gap Between Your Current Skills and What DevOps Roles Demand
- Know The Roadmap To Become DevOps Engineer In 2026
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/40YmeqV
( Limited Slots ..Hurry Up🏃♂️ )
Date & Time :- March 10 , 2026 , 7:00 PM
- Bridge the Gap Between Your Current Skills and What DevOps Roles Demand
- Know The Roadmap To Become DevOps Engineer In 2026
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/40YmeqV
( Limited Slots ..Hurry Up🏃♂️ )
Date & Time :- March 10 , 2026 , 7:00 PM
❤2
🔥 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Upgrade your career with one of the most in-demand tech skills of 2026!
✔ Artificial Intelligence
✔ Machine Learning
✔ Python for Data Science
✔ Real-World Projects
🎓 Get Certified & Build Your Tech Career
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-
https://pdlink.in/4qHVFkI
🚀 Perfect for Students ,Freshers & Working Professionals
Upgrade your career with one of the most in-demand tech skills of 2026!
✔ Artificial Intelligence
✔ Machine Learning
✔ Python for Data Science
✔ Real-World Projects
🎓 Get Certified & Build Your Tech Career
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-
https://pdlink.in/4qHVFkI
🚀 Perfect for Students ,Freshers & Working Professionals
❤2
📢 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗹𝗲𝗿𝘁 – 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜
Upgrade your career with AI-powered data analytics skills.
📊 Learn Data Analytics from Scratch
🤖 AI Tools & Automation
📈 Data Visualization & Insights
🎓 Certification Program
🔥 Highly demanded skill in today’s job market.
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-
https://pdlink.in/4syEItX
🚀 Perfect for Students ,Freshers & Working Professionals
Upgrade your career with AI-powered data analytics skills.
📊 Learn Data Analytics from Scratch
🤖 AI Tools & Automation
📈 Data Visualization & Insights
🎓 Certification Program
🔥 Highly demanded skill in today’s job market.
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-
https://pdlink.in/4syEItX
🚀 Perfect for Students ,Freshers & Working Professionals
👎1
📊 Excel Beginner Roadmap 🚀
📂 Start Here
∟📂 What is Microsoft Excel & Why Use It?
∟📂 Understanding Excel Interface (Rows, Columns, Cells, Ribbon)
📂 Excel Basics
∟📂 Entering & Formatting Data
∟📂 Basic Formulas (SUM, AVERAGE, COUNT)
∟📂 Cell References (Relative, Absolute, Mixed)
📂 Important Functions
∟📂 Logical Functions (IF, AND, OR)
∟📂 Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
∟📂 Text Functions (LEFT, RIGHT, MID, LEN, CONCAT)
📂 Data Handling
∟📂 Sorting & Filtering Data
∟📂 Remove Duplicates
∟📂 Data Validation
📂 Data Analysis Tools
∟📂 Conditional Formatting
∟📂 Pivot Tables
∟📂 Pivot Charts
📂 Charts & Visualization
∟📂 Column, Line, Pie Charts
∟📂 Creating Dashboards in Excel
∟📂 Formatting Charts for Insights
📂 Advanced Excel
∟📂 INDEX & MATCH
∟📂 Nested IF Statements
∟📂 Introduction to Macros
📂 Excel for Data Analysis
∟📂 Cleaning Data
∟📂 Using Excel Tables
∟📂 Basic Data Analysis Techniques
📂 Practice Projects
∟📌 Sales Data Dashboard
∟📌 Employee Attendance Tracker
∟📌 Personal Budget Tracker
📂 ✅ Move to Next Level
∟📂 Power Query Basics
∟📂 Power Pivot & Data Model
∟📂 Automating Tasks with VBA
Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i
React "❤️" for more! 📊🚀
📂 Start Here
∟📂 What is Microsoft Excel & Why Use It?
∟📂 Understanding Excel Interface (Rows, Columns, Cells, Ribbon)
📂 Excel Basics
∟📂 Entering & Formatting Data
∟📂 Basic Formulas (SUM, AVERAGE, COUNT)
∟📂 Cell References (Relative, Absolute, Mixed)
📂 Important Functions
∟📂 Logical Functions (IF, AND, OR)
∟📂 Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
∟📂 Text Functions (LEFT, RIGHT, MID, LEN, CONCAT)
📂 Data Handling
∟📂 Sorting & Filtering Data
∟📂 Remove Duplicates
∟📂 Data Validation
📂 Data Analysis Tools
∟📂 Conditional Formatting
∟📂 Pivot Tables
∟📂 Pivot Charts
📂 Charts & Visualization
∟📂 Column, Line, Pie Charts
∟📂 Creating Dashboards in Excel
∟📂 Formatting Charts for Insights
📂 Advanced Excel
∟📂 INDEX & MATCH
∟📂 Nested IF Statements
∟📂 Introduction to Macros
📂 Excel for Data Analysis
∟📂 Cleaning Data
∟📂 Using Excel Tables
∟📂 Basic Data Analysis Techniques
📂 Practice Projects
∟📌 Sales Data Dashboard
∟📌 Employee Attendance Tracker
∟📌 Personal Budget Tracker
📂 ✅ Move to Next Level
∟📂 Power Query Basics
∟📂 Power Pivot & Data Model
∟📂 Automating Tasks with VBA
Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i
React "❤️" for more! 📊🚀
❤15
💻 𝗙𝗥𝗘𝗘 𝗘𝘅𝗰𝗲𝗹 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 – 𝗕𝗲𝘆𝗼𝗻𝗱 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗕𝗮𝘀𝗶𝗰𝘀
Still using Excel only for simple tables?
Learn how professionals use Excel for data analysis, insights & reporting.
✔ Real business use cases
✔ Must-know Excel formulas
✔ Data cleaning & analysis
✔ Career guidance
📅 13 March | ⏰ 6 PM
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/4bEDmIw
🚀 Upgrade your Excel skills today!
Still using Excel only for simple tables?
Learn how professionals use Excel for data analysis, insights & reporting.
✔ Real business use cases
✔ Must-know Excel formulas
✔ Data cleaning & analysis
✔ Career guidance
📅 13 March | ⏰ 6 PM
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/4bEDmIw
🚀 Upgrade your Excel skills today!
❤2
📈 Data Visualisation Cheatsheet: 13 Must-Know Chart Types ✅
1️⃣ Gantt Chart
Tracks project schedules over time.
🔹 Advantage: Clarifies timelines & tasks
🔹 Use case: Project management & planning
2️⃣ Bubble Chart
Shows data with bubble size variations.
🔹 Advantage: Displays 3 data dimensions
🔹 Use case: Comparing social media engagement
3️⃣ Scatter Plots
Plots data points on two axes.
🔹 Advantage: Identifies correlations & clusters
🔹 Use case: Analyzing variable relationships
4️⃣ Histogram Chart
Visualizes data distribution in bins.
🔹 Advantage: Easy to see frequency
🔹 Use case: Understanding age distribution in surveys
5️⃣ Bar Chart
Uses rectangular bars to visualize data.
🔹 Advantage: Easy comparison across groups
🔹 Use case: Comparing sales across regions
6️⃣ Line Chart
Shows trends over time with lines.
🔹 Advantage: Clear display of data changes
🔹 Use case: Tracking stock market performance
7️⃣ Pie Chart
Represents data in circular segments.
🔹 Advantage: Simple proportion visualization
🔹 Use case: Displaying market share distribution
8️⃣ Maps
Geographic data representation on maps.
🔹 Advantage: Recognizes spatial patterns
🔹 Use case: Visualizing population density by area
9️⃣ Bullet Charts
Measures performance against a target.
🔹 Advantage: Compact alternative to gauges
🔹 Use case: Tracking sales vs quotas
🔟 Highlight Table
Colors tabular data based on values.
🔹 Advantage: Quickly identifies highs & lows
🔹 Use case: Heatmapping survey responses
1️⃣1️⃣ Tree Maps
Hierarchical data with nested rectangles.
🔹 Advantage: Efficient space usage
🔹 Use case: Displaying file system usage
1️⃣2️⃣ Box & Whisker Plot
Summarizes data distribution & outliers.
🔹 Advantage: Concise data spread representation
🔹 Use case: Comparing exam scores across classes
1️⃣3️⃣ Waterfall Charts / Walks
Visualizes sequential cumulative effect.
🔹 Advantage: Clarifies source of final value
🔹 Use case: Understanding profit & loss components
💡 Use the right chart to tell your data story clearly.
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
Tap ♥️ for more!
1️⃣ Gantt Chart
Tracks project schedules over time.
🔹 Advantage: Clarifies timelines & tasks
🔹 Use case: Project management & planning
2️⃣ Bubble Chart
Shows data with bubble size variations.
🔹 Advantage: Displays 3 data dimensions
🔹 Use case: Comparing social media engagement
3️⃣ Scatter Plots
Plots data points on two axes.
🔹 Advantage: Identifies correlations & clusters
🔹 Use case: Analyzing variable relationships
4️⃣ Histogram Chart
Visualizes data distribution in bins.
🔹 Advantage: Easy to see frequency
🔹 Use case: Understanding age distribution in surveys
5️⃣ Bar Chart
Uses rectangular bars to visualize data.
🔹 Advantage: Easy comparison across groups
🔹 Use case: Comparing sales across regions
6️⃣ Line Chart
Shows trends over time with lines.
🔹 Advantage: Clear display of data changes
🔹 Use case: Tracking stock market performance
7️⃣ Pie Chart
Represents data in circular segments.
🔹 Advantage: Simple proportion visualization
🔹 Use case: Displaying market share distribution
8️⃣ Maps
Geographic data representation on maps.
🔹 Advantage: Recognizes spatial patterns
🔹 Use case: Visualizing population density by area
9️⃣ Bullet Charts
Measures performance against a target.
🔹 Advantage: Compact alternative to gauges
🔹 Use case: Tracking sales vs quotas
🔟 Highlight Table
Colors tabular data based on values.
🔹 Advantage: Quickly identifies highs & lows
🔹 Use case: Heatmapping survey responses
1️⃣1️⃣ Tree Maps
Hierarchical data with nested rectangles.
🔹 Advantage: Efficient space usage
🔹 Use case: Displaying file system usage
1️⃣2️⃣ Box & Whisker Plot
Summarizes data distribution & outliers.
🔹 Advantage: Concise data spread representation
🔹 Use case: Comparing exam scores across classes
1️⃣3️⃣ Waterfall Charts / Walks
Visualizes sequential cumulative effect.
🔹 Advantage: Clarifies source of final value
🔹 Use case: Understanding profit & loss components
💡 Use the right chart to tell your data story clearly.
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
Tap ♥️ for more!
❤7👍1
🤖 𝗔𝗜 + 𝗗𝗮𝘁𝗮 = 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗝𝗼𝗯𝘀
Start your journey in Data Analytics & Data Science with AI Certification and gain skills companies are actively hiring for.
📊 Data Analysis
🐍 Python Programming
🤖 Machine Learning
📈 AI-Driven Insights
🔥 Perfect for College Students ,Freshers & Professionals
1️⃣𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3OD9jI1
2️⃣𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://pdlink.in/4kucM7E
3️⃣𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4ay4wPG
4️⃣𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/3ZtIZm9
5️⃣𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4rMivIA
Don't Miss This Opportunity . Get Placement Assistance With 5000+ Companies
Start your journey in Data Analytics & Data Science with AI Certification and gain skills companies are actively hiring for.
📊 Data Analysis
🐍 Python Programming
🤖 Machine Learning
📈 AI-Driven Insights
🔥 Perfect for College Students ,Freshers & Professionals
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Data Analyst INTERVIEW QUESTIONS AND ANSWERS
👇👇
1.Can you name the wildcards in Excel?
Ans: There are 3 wildcards in Excel that can ve used in formulas.
Asterisk (*) – 0 or more characters. For example, Ex* could mean Excel, Extra, Expertise, etc.
Question mark (?) – Represents any 1 character. For example, R?ain may mean Rain or Ruin.
Tilde (~) – Used to identify a wildcard character (~, *, ?). For example, If you need to find the exact phrase India* in a list. If you use India* as the search string, you may get any word with India at the beginning followed by different characters (such as Indian, Indiana). If you have to look for India” exclusively, use ~.
Hence, the search string will be india~*. ~ is used to ensure that the spreadsheet reads the following character as is, and not as a wildcard.
2.What is cascading filter in tableau?
Ans: Cascading filters can also be understood as giving preference to a particular filter and then applying other filters on previously filtered data source. Right-click on the filter you want to use as a main filter and make sure it is set as all values in dashboard then select the subsequent filter and select only relevant values to cascade the filters. This will improve the performance of the dashboard as you have decreased the time wasted in running all the filters over complete data source.
3.What is the difference between .twb and .twbx extension?
Ans:
A .twb file contains information on all the sheets, dashboards and stories, but it won’t contain any information regarding data source. Whereas .twbx file contains all the sheets, dashboards, stories and also compressed data sources. For saving a .twbx extract needs to be performed on the data source. If we forward .twb file to someone else than they will be able to see the worksheets and dashboards but won’t be able to look into the dataset.
4.What are the various Power BI versions?
Power BI Premium capacity-based license, for example, allows users with a free license to act on content in workspaces with Premium capacity. A user with a free license can only use the Power BI service to connect to data and produce reports and dashboards in My Workspace outside of Premium capacity. They are unable to exchange material or publish it in other workspaces. To process material, a Power BI license with a free or Pro per-user license only uses a shared and restricted capacity. Users with a Power BI Pro license can only work with other Power BI Pro users if the material is stored in that shared capacity. They may consume user-generated information, post material to app workspaces, share dashboards, and subscribe to dashboards and reports. Pro users can share material with users who don’t have a Power BI Pro subscription while workspaces are at Premium capacity.
ENJOY LEARNING 👍👍
👇👇
1.Can you name the wildcards in Excel?
Ans: There are 3 wildcards in Excel that can ve used in formulas.
Asterisk (*) – 0 or more characters. For example, Ex* could mean Excel, Extra, Expertise, etc.
Question mark (?) – Represents any 1 character. For example, R?ain may mean Rain or Ruin.
Tilde (~) – Used to identify a wildcard character (~, *, ?). For example, If you need to find the exact phrase India* in a list. If you use India* as the search string, you may get any word with India at the beginning followed by different characters (such as Indian, Indiana). If you have to look for India” exclusively, use ~.
Hence, the search string will be india~*. ~ is used to ensure that the spreadsheet reads the following character as is, and not as a wildcard.
2.What is cascading filter in tableau?
Ans: Cascading filters can also be understood as giving preference to a particular filter and then applying other filters on previously filtered data source. Right-click on the filter you want to use as a main filter and make sure it is set as all values in dashboard then select the subsequent filter and select only relevant values to cascade the filters. This will improve the performance of the dashboard as you have decreased the time wasted in running all the filters over complete data source.
3.What is the difference between .twb and .twbx extension?
Ans:
A .twb file contains information on all the sheets, dashboards and stories, but it won’t contain any information regarding data source. Whereas .twbx file contains all the sheets, dashboards, stories and also compressed data sources. For saving a .twbx extract needs to be performed on the data source. If we forward .twb file to someone else than they will be able to see the worksheets and dashboards but won’t be able to look into the dataset.
4.What are the various Power BI versions?
Power BI Premium capacity-based license, for example, allows users with a free license to act on content in workspaces with Premium capacity. A user with a free license can only use the Power BI service to connect to data and produce reports and dashboards in My Workspace outside of Premium capacity. They are unable to exchange material or publish it in other workspaces. To process material, a Power BI license with a free or Pro per-user license only uses a shared and restricted capacity. Users with a Power BI Pro license can only work with other Power BI Pro users if the material is stored in that shared capacity. They may consume user-generated information, post material to app workspaces, share dashboards, and subscribe to dashboards and reports. Pro users can share material with users who don’t have a Power BI Pro subscription while workspaces are at Premium capacity.
ENJOY LEARNING 👍👍
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