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𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗙𝗥𝗘𝗘 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗩𝗶𝗱𝗲𝗼𝘀!😍 Want to become a Data Analytics pro?🔥 These tutorials simplify complex topics into easy-to-follow lessons✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4k5x6vx No more excuses—just pure learning!✅️

📚 9 must-have Python developer tools. 1. PyCharm IDE 2. Jupyter notebook 3. Keras 4. Pip Package 5. Python Anywhere 6. Scikit-Learn 7. Sphinx 8. Selenium 9. Sublime Text

𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 – 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲!😍 Want to break into Machine Learning without spending a fortune?💡 This 100% FREE course is your ultimate guide to learning ML with Python from scratch!✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4k9xb1x 💻 Start Learning Now → Enroll Here✅️

Simpsons in 90s Style 👇👇 https://t.me/generativeai_gpt/254

SQL Projects with Datasets 👇 📌E-commerce Sales Analysis: Dataset: Online retail dataset from the UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/Online+Retail) 📌Social Media Analytics: Twitter API or Twitter datasets available on platforms like Kaggle (https://www.kaggle.com/datasets?search=twitter) 📌Healthcare Data Management: MIMIC-III (Medical Information Mart for Intensive Care III) dataset (https://mimic.mit.edu/docs/iii/) 📌Retail Inventory Management: Sample retail sales dataset available on platforms like Kaggle (https://www.kaggle.com/datasets?search=retail) 📌Financial Portfolio Analysis: Yahoo Finance API or finance datasets available on platforms like Kaggle (https://www.kaggle.com/datasets?search=finance) 📌Real Estate Market Analysis: Zillow dataset (https://www.zillow.com/research/data/) or real estate datasets available on platforms like Kaggle (https://www.kaggle.com/datasets?search=real+estate)

4 Python practical projects to do for freshers in data analytics 🧵⬇️ 1️⃣ Exploratory Data Analysis (EDA) on a Public Dataset Use a dataset from Kaggle or data.gov Clean and preprocess the data Perform statistical analysis and visualization Draw insights and present findings 2️⃣ Stock Market Analysis Tool Fetch real-time stock data using an API (e.g., yfinance) Implement technical indicators (e.g., moving averages, RSI) Create visualizations of stock performance Build a simple prediction model 3️⃣ Social Media Sentiment Analysis Collect tweets or Reddit posts using APIs Preprocess text data Perform sentiment analysis Visualize sentiment trends over time 4️⃣ Customer Churn Prediction Use a telecom or e-commerce dataset Perform feature engineering Build and compare multiple machine learning models Evaluate model performance and interpret results Hope it helps :)

𝗙𝗥𝗘𝗘 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 1)Business Analysis – Foundation 2)Business Analysis Fundamentals 3)The Essentials of Business & Risk Analysis  4)Master Microsoft Power BI  𝗟𝗶𝗻𝗸 👇:- https://pdlink.in/4hHxBdW Enroll For FREE & Get Certified🎓

Many people ask this common question “Can I get a job with just SQL and Excel?” or “Can I get a job with just Power BI and Python?”. The answer to all of those questions is yes. There are jobs that use only SQL, Tableau, Power BI, Excel, Python, or R or some combination of those. However, the combination of tools you learn impacts the total number of jobs you are qualified for. For example, let’s say with just SQL and Excel you are qualified for 10 jobs, but if you add Tableau to that, you are qualified for 50 jobs. If you have a success rate of landing a job you’re qualified for of 4%, having 5 times as many jobs to go for greatly improves your odds of landing a job. Does this mean you should go out there and learn every single skill any data analyst job requires? NO! It’s about finding the core tools that many jobs want. And, in my opinion, those tools are SQL, Excel, and a visualization tool. With these three tools, you are qualified for the majority of entry level data jobs and many higher level jobs. So, you can land a job with whatever tools you’re comfortable with. But if you have the three tools above in your toolbelt, you will have many more jobs to apply for and greatly improve your chances of snagging one.

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Tackle Real World Data Challenges with These SQL Key Queries... Scenario 1: Calculating Average Question: You have a table Employees with columns EmployeeID, Department, and Salary. Write an SQL query to find the average salary for each department. Answer: Assuming the table Employees with columns EmployeeID, Department, and Salary SELECT Department, AVG(Salary) AS AverageSalary FROM Employees GROUP BY Department; Scenario 2: Finding Top Performers Question: You have a table Sales with columns SalesPersonID, SaleAmount, and SaleDate. Write an SQL query to find the top 3 salespeople with the highest total sales. Answer: Assuming the table Sales with columns SalesPersonID, SaleAmount, and SaleDate SELECT SalesPersonID, SUM(SaleAmount) AS TotalSales FROM Sales GROUP BY SalesPersonID ORDER BY TotalSales DESC LIMIT 3; Scenario 3: Date Range Filtering Question: You have a table Orders with columns OrderID, OrderDate, and Amount. Write an SQL query to find the total amount of orders placed in the last 30 days. Answer: Assuming the table Orders with columns OrderID, OrderDate, and Amount SELECT SUM(Amount) AS TotalAmount FROM Orders WHERE OrderDate >= CURDATE() - INTERVAL 30 DAY;