𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗜 𝗮𝗿𝗲 𝗵𝗶𝗴𝗵𝗹𝘆 𝗱𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗶𝗻 𝟮𝟬𝟮𝟱😍

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📈 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗘𝗱𝗴𝗲 𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀: 𝗛𝗼𝘄 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗣𝗼𝘀𝘁𝗶𝘃𝗲 & 𝗡𝗲𝗴𝗮𝘁𝗶𝘃𝗲 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽𝘀 𝗶𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮

🔹 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗘𝗱𝗴𝗲 𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻?
It refers to correlation values near +1 or –1 — indicating strong positive or negative relationships between two variables. It helps identify which factors move together.

🔹 𝗪𝗵𝘆 𝗶𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 𝗶𝗻 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀
✅ Find features that really influence your target variable
✅ Serve as candidates for predictive modeling
✅ Help in variable reduction & understanding multicollinearity

🔹 𝗛𝗼𝘄 𝘁𝗼 𝗖𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗲 (𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 / 𝗣𝗮𝗻𝗱𝗮𝘀)

df[['var1','var2']].corr()

This gives you a correlation matrix.
Or for a single pair:

df['var1'].corr(df['var2'])

🔹 𝗛𝗼𝘄 𝘁𝗼 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁

+1.0 → perfect positive correlation

–1.0 → perfect negative correlation

0 or near zero → little or no linear relation

Very high correlations may imply multicollinearity, which can hurt regression models

🔹 𝗪𝗵𝗲𝗻 𝘁𝗼 𝗨𝘀𝗲 𝗣𝗼𝘀𝗶𝘁𝗶𝘃𝗲 / 𝗡𝗲𝗴𝗮𝘁𝗶𝘃𝗲 𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴
✅ Filter pairs with abs(corr) > 0.7 for strong correlations
✅ Use heatmaps to visualize many correlations at once
✅ Drop redundant features with extremely high mutual correlation

🔹 𝗖𝗮𝘂𝘁𝗶𝗼𝗻:
Correlation ≠ Causation. Even if two variables move together strongly, one does not necessarily cause the other.

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🔍 𝗗𝗲𝗰𝗼𝗱𝗶𝗻𝗴 𝗢𝘂𝘁𝗹𝗶𝗲𝗿𝘀 — 𝗪𝗵𝘆 𝗧𝗵𝗲𝘆 𝗠𝗮𝘁𝘁𝗲𝗿 𝗶𝗻 𝗗𝗮𝘁𝗮𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀

🔹 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮𝗻 𝗢𝘂𝘁𝗹𝗶𝗲𝗿?
It is a data point that differs significantly from the rest — unusually high or low. Could be valid, error, or an extreme case.

🔹 𝗪𝗵𝘆 𝗖𝗮𝗿𝗲 𝗔𝗯𝗼𝘂𝘁 𝗢𝘂𝘁𝗹𝗶𝗲𝗿𝘀?
✅ They can skew averages & models
✅ Distort regression lines and parameter estimates
✅ Hide true patterns when left unchecked
✅ Sometimes they reveal valuable anomalies (fraud, system errors)

🔹 𝗛𝗼𝘄 𝗧𝗼 𝗗𝗲𝘁𝗲𝗰𝘁 𝗧𝗵𝗲𝗺

Use boxplots & IQR method (points outside 1.5×IQR)

Z-score / standard score (values with |z| > 3)

Scatter plots and visual inspection

Use Mahalanobis distance for multivariate outliers

🔹 𝗪𝗵𝗮𝘁 𝗧𝗼 𝗗𝗼 𝗪𝗶𝘁𝗵 𝗖𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀
✅ Verify them — is it data entry error or true?
✅ Transform or cap (winsorize) extreme values
✅ Drop only if justified
✅ Use robust models (e.g. median regression) that handle outliers

💬 𝗙𝗼𝗿 𝗬𝗼𝘂:
👉 Did you find any surprising outliers in your data? What method did you use to handle them? Share below ⬇️

𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗙𝗥𝗘𝗘 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱/𝗣𝘂𝗻𝗲/𝗡𝗼𝗶𝗱𝗮😍

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💥 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 + 𝗦𝗺𝗮𝗿𝘁 𝗥𝗲𝘀𝘂𝗺𝗲 = 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 😍

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Learn from the Top 1% of the data analytics industry

Learn Data Analytics with Hands-on Training, Industry Projects, and 100% Placement Assistance.

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𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄👇:-

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𝐆𝐨𝐨𝐠𝐥𝐞 𝐈𝐬 𝐇𝐢𝐫𝐢𝐧𝐠 😍

Grab this chance to join Google’s analytics team! 🚀

Role:- Data Analyst (or similar Data Analytics position)

Qualification:- Bachelor’s degree or equivalent practical experience; strong skills in SQL, data visualization, and analytics

Job Location:- Multiple locations globally (including Bengaluru, India)

Salary Package:- ₹12 – 25 LPA (Based on role, experience & location)

𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰👇

CHECK FOR LINK BELOW📌

Apply before the link expires ✨

🎯 Interview Questions & Answers for the Google Data Analyst Role

Technical / SQL & Data Manipulation

1️⃣ Question:
Write a query to count the number of customers who were upsold (i.e., made more than one purchase).

Answer:

SELECT customer_id, COUNT(order_id) AS total_orders
FROM orders
GROUP BY customer_id
HAVING COUNT(order_id) > 1;

✅ This query groups customers and filters those with more than one order — identifying customers who were upsold.

2️⃣ Question:
Write a SQL query to compute cumulative sales for each product by date.

Answer:

SELECT
product_id,
order_date,
SUM(sales) OVER (PARTITION BY product_id ORDER BY order_date) AS cumulative_sales
FROM sales_data;

✅ Uses a window function to calculate running totals of sales by product.

3️⃣ Question:
How would you optimise a very slow SQL query joining multiple large tables?

Answer:
✅ Approach:
• Use EXPLAIN to analyze query execution plan.
• Ensure indexes on join keys and filters.
• Replace SELECT * with only required columns.
• Consider materialized views or CTEs for reuse.
• Check data partitioning in big tables.

4️⃣ Question:
Given two tables (clicks and conversions), write a query to compute click-through-rate (CTR) and conversion rate for each ad.

Answer:

SELECT
c.ad_id,
COUNT(DISTINCT c.user_id) AS total_clicks,
COUNT(DISTINCT cv.user_id) AS total_conversions,
COUNT(DISTINCT cv.user_id) * 1.0 / COUNT(DISTINCT c.user_id) AS conversion_rate
FROM clicks c
LEFT JOIN conversions cv
ON c.ad_id = cv.ad_id AND c.user_id = cv.user_id
GROUP BY c.ad_id;

✅ Calculates CTR and conversion rate per ad by joining user-level click and conversion data.

Product / Business Case / Analytics Thinking

5️⃣ Question:
How would you measure the success of a new feature (for example, audio chat) introduced on an online marketplace?

Answer:
✅ Define Key Metrics:
• Engagement: # of audio chats started, avg duration.
• Retention: % of users using audio chat repeatedly.
• Conversion: % of users who completed a transaction after using audio chat.
✅ Run an A/B test: Compare metrics between feature and control groups.

6️⃣ Question:
Explain a scatterplot showing “Completion Rate vs Video Length” for a video platform. What insights might you draw?

Answer:
✅ Analysis:
• Negative correlation indicates longer videos → lower completion rates.
• Identify “optimal length” range with highest engagement.
• Look for outliers (short videos with poor completion → low interest).
✅ Business Insight: Helps guide ideal video length for creators.

Behavioural / Fit Questions

7️⃣ Question:
Describe a data-analysis project you worked on: what were the challenges and how did you overcome them?

Answer:
✅ Example: “I analyzed user churn data using SQL and Python. The challenge was missing demographic fields. I collaborated with the data engineering team to impute missing values using averages from similar cohorts, improving model accuracy by 12%.”

8️⃣ Question:
How do you prioritise tasks when working on multiple analytics projects simultaneously?

Answer:
✅ Answer: “I assess business impact and urgency, align with stakeholders on deadlines, and use Agile methods — maintaining a backlog and weekly sprint goals. I also ensure regular communication to avoid blockers.”

9️⃣ Question:
Tell us about a time when you received incomplete or conflicting data. What did you do?

Answer:
✅ Answer: “While analyzing marketing data, campaign IDs were missing for 15% of rows. I investigated source logs, validated against CRM data, and applied conditional joins to recover 90% of missing entries before analysis.”

🔟 Question:
What are your favorite data visualization tools, and how do you decide which one to use?

Answer:
✅ Answer: “I use Google Data Studio and Power BI for dashboards, and Python (Matplotlib/Seaborn) for exploratory analysis. Choice depends on audience — dashboards for business stakeholders, Jupyter visuals for internal analytics.

𝐂𝐥𝐢𝐜𝐤 𝐨𝐧 𝐭𝐡𝐞 𝐋𝐢𝐧𝐤 𝐁𝐞𝐥𝐨𝐰 𝐓𝐨 𝐀𝐩𝐩𝐥𝐲👇

https://t.me/careeralertswithHeena/74

𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗪𝗶𝘁𝗵 𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 😍

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𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄👇:- 

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Role: Data Science Intern (Freshers / Students)

Qualifications: UG/PG in Data Science, Computer Science, Statistics, Mathematics — Python, R, SQL, Excel, Machine Learning, Data Visualization skills preferred

Location: Remote (India)

Stipend / Package: ₹7,500 – ₹15,000 (Performance-based, Paid Internship)

𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰(check below)

𝗛𝗼𝘄 𝘁𝗼 𝗔𝗽𝗽𝗹𝘆 – 𝗦𝘁𝗲𝗽-𝗯𝘆-𝗦𝘁𝗲𝗽 𝗚𝘂𝗶𝗱𝗲

𝗢𝗽𝗲𝗻 𝘁𝗵𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗶𝗻𝗸
Click or tap on: https://in.indeed.com/q-data-science-internship-jobs.html

𝗦𝗲𝗮𝗿𝗰𝗵 𝗳𝗼𝗿 ‘Optimspace .in Data Science Intern’

If the internship doesn't appear immediately, use the search bar with keywords “Optimspace .in Data Science Intern” and select “Remote” under location.

𝗥𝗲𝘃𝗶𝗲𝘄 𝘁𝗵𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗗𝗲𝘁𝗮𝗶𝗹𝘀
Check the job description, skills required, stipend, and eligibility to ensure you match their requirements.

𝗣𝗿𝗲𝗽𝗮𝗿𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲
Update your resume, focusing on relevant skills like Python, SQL, Excel, and any analytics projects or coursework you’ve completed.

𝗖𝗹𝗶𝗰𝗸 ‘Apply Now’
Find the ‘Apply Now’ button on the internship listing page and click it.

𝗙𝗶𝗹𝗹 𝗢𝘂𝘁 𝘁𝗵𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗙𝗼𝗿𝗺
Enter your personal information, upload your resume (PDF preferred), and add a cover letter if requested.

𝗦𝘂𝗯𝗺𝗶𝘁 𝘁𝗵𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Double check your entries, then submit the application.

𝗧𝗿𝗮𝗰𝗸 𝗬𝗼𝘂𝗿 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Log in to Indeed to check the status of your application and watch for updates or messages from the employer.

Check out this link to apply for this internship 📌

https://t.me/careeralertswithHeena/75

🦄 ⚪ 𝗙𝗥𝗢𝗠 𝗡𝗢𝗩𝗘𝗠𝗕𝗘𝗥 𝟰 — 𝗖𝗛𝗔𝗧𝗚𝗣𝗧 𝗚𝗢 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝗜𝗡𝗗𝗜𝗔! 🇮🇳

Yes, you read that right! OpenAI is giving India exclusive early access to premium ChatGPT Go features — absolutely FREE, starting November 4th! 🎉
No Plus plan, no payment, no hidden cost. Just log in and enjoy upgraded ChatGPT power 💥

⚪ 𝗪𝗵𝗮𝘁’𝘀 𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝗱:
⚡ Higher daily message limits
🎨 More image generations & file uploads
🧠 Longer memory for smarter, context-aware replies
💬 GPT-4-level capabilities (rolling out gradually across users)

⚪ 𝗛𝗲𝗿𝗲’𝘀 𝗛𝗼𝘄 𝗧𝗼 𝗚𝗲𝘁 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗙𝗿𝗲𝗲 (𝗦𝗧𝗘𝗣 𝗕𝗬 𝗦𝗧𝗘𝗣):
1️⃣ Update or Install ChatGPT App – Go to Play Store / App Store and make sure you’re on the latest version. (You can also visit chat.openai.com).
2️⃣ Sign In or Create Account – Use your email or Google/Apple login. Make sure your region is set to India.
3️⃣ Watch for “ChatGPT Go Free for a Year” Banner – Once you log in after Nov 4, you’ll see a pop-up or banner offering free ChatGPT Go access.
4️⃣ Click “Activate” or “Claim Offer” – Follow the on-screen steps; no payment info is needed.
5️⃣ Enjoy Premium Features – You’ll automatically get access to GPT-4-level tools, image generation, and longer chats for 1 full year!
6️⃣ Check Settings → My Plan – Confirm that your plan shows ChatGPT Go (Free for 1 Year).

⚪ 𝗪𝗵𝗮𝘁 𝗧𝗼 𝗗𝗼 𝗜𝗳 𝗬𝗼𝘂 𝗗𝗼𝗻’𝘁 𝗦𝗲𝗲 𝗧𝗵𝗲 𝗢𝗳𝗳𝗲𝗿:
🔹 Log out & back in after Nov 4
🔹 Update your app manually
🔹 Try the web version
🔹 Rollout is gradual — check again after a few hours

⚪ 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:
India becomes one of the first countries in the world to get this free premium rollout 🌏
Perfect for students, data professionals, creators, and tech learners who use AI daily.

✨ 𝗤𝘂𝗶𝗰𝗸 𝗧𝗶𝗽:
Comment “GO” 👇🏼 and I’ll share the early access link + activation guide directly in your DMs or broadcast channel 🔗

🔍 𝗧𝗮𝗴𝘀 𝗳𝗼𝗿 𝗬𝗼𝘂𝗿 𝗣𝗼𝘀𝘁:
• ChatGPT Free India 2025
• OpenAI Free Access November 4
• ChatGPT Go Activation
• AI Tools for Students & Professionals
• Data & AI for Everyone

🚨𝐋𝐚𝐬𝐭 𝐂𝐡𝐚𝐧𝐜𝐞 𝐭𝐨 𝐆𝐞𝐭 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐏𝐚𝐢𝐝 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩😍

Here’s your golden opportunity to earn ₹40,000 per month while gaining real-world experience through an official Government Internship Program 💼

⏳ Deadline Extended till 1st November 2025 — Don’t miss this final chance to apply!

📅 Internship Duration: 6 Months
💰 Stipend: ₹40,000 per month

💻 Domains Available:
• Data Science
• Software Development
• Cybersecurity
• Product Management
• UI/UX Design

✨ You’ll Also Get:
✅ Mentorship from Industry Experts
✅ Hands-on Project Experience
✅ Certificate of Completion from an Official Government Platform

🎓 This internship is 100% legit, designed to help students and freshers build experience + income while studying!

⚠️ Registration Closes Soon!

or access it directly here 👉 https://www.bharatdigital.io/fellowship

𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁😍

Build  Full Stack Skills That Crack Product-Based Companies

- Break into the Tech industry as a Full-stack developer with the right guidance.

Eligibility :- Working Professionals & Graduates 

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- 

https://pdlink.in/4nwSPwU

Date :- November 02 , 2025  Time:-7:00 PM

𝟑 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩 𝐎𝐩𝐞𝐧𝐢𝐧𝐠𝐬 𝐀𝐩𝐩𝐥𝐲 𝐛𝐞𝐟𝐨𝐫𝐞 𝐢𝐭 𝐞𝐱𝐩𝐢𝐫𝐞𝐬😍

𝗢𝗽𝘁𝗶𝗺𝗮𝘀𝘆𝘀 📊
Role:- Data Analytics Intern
Location:- Work From Home (India)
Qualification:- Any graduate / fresher
Salary Package:- ₹10,000 – ₹20,000 / month (approx)

𝗔𝗺𝗿𝗮𝘁𝗮 📊
Role:- Data Analytics Intern
Location:- Work From Home
Qualification:- Fresher / Student
Salary Package:- ₹15,000 / ₹25,000 month (estimated)

𝗞𝗼𝗿𝗲𝘀 📊
Role:- Digital Transformation / Data Analytics Intern
Location:- Mumbai, India
Qualification:- Bachelor’s degree / MBA / Data Analytics background
Salary Package:- ₹8,000 – ₹12,000 / month

👉 𝐅𝐨𝐫 𝐦𝐨𝐫𝐞 𝐣𝐨𝐛 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐝𝐞𝐭𝐚𝐢𝐥𝐬, 𝐯𝐢𝐬𝐢𝐭 𝐦𝐲 𝐉𝐨𝐛-𝐔𝐩𝐝𝐚𝐭𝐞𝐬 𝐂𝐡𝐚𝐧𝐧𝐞𝐥:
https://t.me/careeralertswithHeena/78 👈(Click Here to Apply)📌

Step-by-Step: How to apply📍🧑‍💻

1. Open the apply link — click the direct link in the post (Internshala link opens the internship page).
2. Read full listing — check duration, stipend, responsibilities, eligibility, start date.
3. Prepare your resume (1 page) — highlight: SQL, Excel, Power BI, Python, projects, and any coursework. Filename: Firstname_Lastname_Resume.pdf.
4. Write a 2-3 line cover message (if there’s a form box) — example: “Hi, I’m Ayesha — a fresher with hands-on SQL & Power BI. I’m excited to intern at [Company] and contribute to analytics projects.”
5. Sign in / Create account — Internshala requires login. Use the email you monitor.
6. Fill apply form carefully — attach resume, add academic details, answer screening questions honestly. Paste your short cover message if there’s a message box.
7. Submit & note confirmation — screenshot the confirmation or email. Save the internship URL and submission date.
8. Follow up after 7–10 days — if contact details are listed, send a polite follow-up message: short, 1–2 lines reaffirming interest and availability.
9. Prepare for interview — review SQL basics (joins, group by, window functions), Excel shortcuts & formulas, Power BI basics (data model, measures), and one small project to discuss.
10. Stay organized — keep a Google Sheet of: Company | Role | Link | Applied on | Status | Notes.✅️

🔹 𝐓𝐨𝐩 𝟏𝟎 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐬𝐡𝐞𝐫𝐬 🚀

Kickstart your Data Analytics journey with these simple yet impactful projects 👇

1️⃣ 𝐒𝐚𝐥𝐞𝐬 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Analyze sales trends, best-selling products & revenue patterns using Excel or Power BI.
 Dataset: https://www.kaggle.com/datasets/kyanyoga/sample-sales-data

2️⃣ 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Study user purchase behavior & find which category drives the most profit.
 Dataset: https://www.kaggle.com/datasets/thedevastator/unlock-profits-with-e-commerce-sales-data

3️⃣ 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Explore hospital admissions, treatment duration & recovery rates using Python (Pandas + Matplotlib).
 Dataset: https://www.kaggle.com/datasets/blueblushed/hospital-dataset-for-practice

4️⃣ 𝐌𝐨𝐯𝐢𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 (𝐈𝐌𝐃𝐁) – Analyze genres, top-rated directors, or average ratings over time.
 Dataset: https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset

5️⃣ 𝐇𝐑 𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐞 𝐀𝐭𝐭𝐫𝐢𝐭𝐢𝐨𝐧 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Use HR datasets to find reasons behind employee turnover.
 Dataset: https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset

6️⃣ 𝐁𝐚𝐧𝐤 𝐋𝐨𝐚𝐧 𝐀𝐩𝐩𝐫𝐨𝐯𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Study customer demographics and financial data to detect loan approval patterns.
 Dataset: https://www.kaggle.com/datasets/architsharma01/loan-approval-prediction-dataset

7️⃣ 𝐑𝐞𝐭𝐚𝐢𝐥 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Build dashboards showing store performance, seasonal demand & profit margins.
 Dataset: https://www.kaggle.com/datasets/mohammadtalib786/retail-sales-dataset

8️⃣ 𝐖𝐞𝐚𝐭𝐡𝐞𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Visualize temperature trends, rainfall, and humidity data to find climate patterns.
 Dataset: https://www.kaggle.com/datasets/muthuj7/weather-dataset

9️⃣ 𝐒𝐨𝐜𝐢𝐚𝐥 𝐌𝐞𝐝𝐢𝐚 𝐒𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Analyze tweets or YouTube comments using Python to understand public opinion.
 Dataset: https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews

🔟 𝐒𝐭𝐨𝐜𝐤 𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Study stock trends, volume changes, & price fluctuations with Python libraries.
 Dataset: https://www.kaggle.com/datasets/jacksoncrow/stock-market-dataset

✨ Pro Tip: Use datasets from Kaggle or data.gov.in to practice and build your portfolio!

🎓 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝘅 𝗘𝗬 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝟮𝟬𝟮𝟱 – 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗪𝗼𝗿𝘁𝗵 ₹𝟮𝟬,𝟬𝟬𝟬 💥

🚀 Big opportunity from Microsoft & EY (Ernst & Young)! They’ve launched a 10-hour “AI for Good” program — completely FREE of cost and open for students aged 16 + 🎯

Here’s what makes it stand out 👇🏼
🤖 Learn the Foundations of Artificial Intelligence (AI)
💬 Enhance your Digital Communication & Critical Thinking skills
🧠 Develop Problem-Solving & Analytical Abilities
🏅 Earn a Microsoft + EY Certificate (worth ₹20,000) after completion

🎯 This globally recognized certificate will strengthen your resume and showcase your understanding of how AI is transforming industries!

⏳ Limited seats | Registration closing soon
👩🏻‍🎓 Open for students aged 16 +

✨ 𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸 :- 👇🏼

🔹 Microsoft AI for Good Program (Official Site): https://aiforgood.itu.int/aifg-course/ey-microsoft-ai-skills-passport/ 

🔹 EY x Microsoft AI Skills Passport Info: https://www.ey.com/en_kw/media/podcasts/ey-microsoft-tech-directions/episode-20-what-you-need-to-know-about-the-ai-skills-passport

💡 Apply before the link expires ✨

𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 - 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱 | 𝗣𝘂𝗻𝗲 | 𝗡𝗼𝗶𝗱𝗮 😍

Want to build a high-paying career in Data Analytics?

Learn directly from the Top 1% Industry Experts

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄👇:-

🔹 Online :- https://pdlink.in/3J4i7E6

🔹 Hyderabad :- https://pdlink.in/3VAmsCe

🔹 Pune:-  https://pdlink.in/4hsc6yg

🔹 Noida :-  https://pdlink.in/3VAkxO2

Hurry Up 🏃‍♂️! Limited seats are available.

Don’t miss this golden chance to kickstart your data career! 💼

🚀 𝐃𝐨𝐧’𝐭 𝐌𝐢𝐬𝐬 𝐓𝐡𝐞𝐬𝐞 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭-𝐁𝐚𝐜𝐤𝐞𝐝 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 😍

Your chance to grab 𝐅𝐫𝐞𝐞 𝐚𝐧𝐝 𝐏𝐚𝐢𝐝 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 in 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐀𝐈 & 𝐓𝐞𝐜𝐡 𝐃𝐨𝐦𝐚𝐢𝐧𝐬 💻✨

💼 𝐅𝐫𝐞𝐞 / 𝐏𝐚𝐢𝐝 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 (𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 / 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐬𝐞𝐝)

🔰 AICTE – Free & Paid Internships for Techies

🔹 What: Government-backed large internship initiative offering both Free & Paid options.
🔹 Why Share: Credible Government Programme with nationwide opportunities for students.
🔹 Apply Link: https://internship.aicte-india.org

🔰 NITI Aayog – Internship Scheme

🔹 What: Internship opportunities for Undergraduate / Postgraduate students across India.
🔹 Why Share: Run by a Central Government body, gives real policy & research exposure.
🔹 Apply Link: https://www.niti.gov.in/internship
(The link for NITI Aayog’s internship sometimes redirects to a “you’re not authorised” page because the application window is only open from the 1st to the 10th of every month. )

🔰 Data Analytics using AI-LLMs Internship (𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 / 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥)

🔹 What: A technical internship focusing on Data Analytics + AI-LLMs for students & freshers.
🔹 Why Share: Ideal for Analytics & AI enthusiasts, recognised by AICTE.
🔹 Apply Link: https://internship.aicte-india.org
👉 (Search “Data Analytics using AI-LLMs Internship 2025-26” on the portal)

🔥 𝐇𝐮𝐫𝐫𝐲 𝐔𝐩! 𝐀𝐩𝐩𝐥𝐲 𝐁𝐞𝐟𝐨𝐫𝐞 𝐓𝐡𝐞𝐬𝐞 𝐎𝐩𝐞𝐧𝐢𝐧𝐠𝐬 𝐅𝐢𝐥𝐥 𝐔𝐩 💥

Perfect for students, beginners, and fresh graduates looking to start in Data & AI fields!

🚨 𝐁𝐢𝐠𝐠𝐞𝐬𝐭 𝐒𝐜𝐡𝐨𝐥𝐚𝐫𝐬𝐡𝐢𝐩 𝐀𝐥𝐞𝐫𝐭 𝐟𝐨𝐫 𝐈𝐧𝐝𝐢𝐚𝐧 𝐒𝐭𝐮𝐝𝐞𝐧𝐭𝐬! 🚨

Hey everyone! If you're a school or college student dreaming of financial support to fuel your education, this is your moment. Top companies are stepping up with massive scholarships to help you thrive:

💰 Amazon Future Engineer Scholarship: Up to ₹𝟐,𝟎𝟎,𝟎𝟎𝟎 for undergrads in Computer Science & related fields
Apply here:- https://www.amazonfutureengineer.in/scholarship-and-internship

💰 HDFC Bank Scholarship: ₹𝟕𝟓,𝟎𝟎𝟎 to ease your academic journey

💰 Kotak Kanya Scholarship: ₹𝟏,𝟓𝟎,𝟎𝟎𝟎 empowering young women in professional courses

💰 SBI Platinum Jubilee Asha Scholarship: Up to ₹𝟏,𝟎𝟎,𝟎𝟎𝟎 (and more for higher studies—details:

https://www.sbiashascholarship.co.in/

These opportunities are open to students across India, covering everything from school fees to college tuition. To simplify things, I've put together a comprehensive PDF guide packed with everything you need to apply successfully:

✅ 𝐀𝐥𝐥 𝐭𝐡𝐞 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐬𝐜𝐡𝐨𝐥𝐚𝐫𝐬𝐡𝐢𝐩𝐬 (including Amazon, HDFC, Kotak, SBI, and extras)

✅ 𝐃𝐢𝐫𝐞𝐜𝐭 𝐚𝐩𝐩𝐥𝐲 𝐥𝐢𝐧𝐤𝐬—no hunting required!

✅ 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐞𝐥𝐢𝐠𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 tailored for Indian students

✅ 𝐒𝐭𝐞𝐩-𝐛𝐲-𝐬𝐭𝐞𝐩 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐠𝐮𝐢𝐝𝐞 to avoid mistakes

✅ 𝐔𝐫𝐠𝐞𝐧𝐭 𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞𝐬 so you don't miss out

💡 Pro tip: These aren't just funds—they're your ticket to covering costs, boosting your resume, and unlocking internships or placements down the line. Imagine starting your career debt-free! 🌟

⏰ Deadlines are approaching fast—don't wait!

For the original scoop and more inspo, check out this spot-on post:

https://www.instagram.com/reel/DQtUj7jj_pN/