Data Analysis Books

Scenario based question and Answers 1. Scenario: Creating a Dynamic Sales Growth Report in Power BI Approach: Load Data: Import sales data and calendar tables. Data Model: Establish a relationship between the sales and calendar tables. Create Measures: Current Sales: Current Sales = SUM(Sales[Amount]). Previous Year Sales: Previous Year Sales = CALCULATE(SUM(Sales[Amount]), DATEADD(Calendar[Date], -1, YEAR)). Sales Growth: Sales Growth = [Current Sales] - [Previous Year Sales]. Visualization: Use Line Chart for trends. Use Card Visual for displaying numeric growth values. Slicers and Filters: Add slicers for selecting specific time periods. 2. Scenario: Identifying Top 5 Customers by Revenue in SQL Approach: Understand the Schema: Know the relevant tables and columns, e.g., Orders table with CustomerID and Revenue. SQL Query: SELECT TOP 5 CustomerID, SUM(Revenue) AS TotalRevenue FROM Orders GROUP BY CustomerID ORDER BY TotalRevenue DESC; 3. Scenario: Creating a Monthly Sales Forecast in Power BI Approach: Load Historical Data: Import historical sales data. Data Model: Ensure proper relationships. Time Series Analysis: Use built-in Power BI forecasting features. Create measures for historical and forecasted sales. Visualization: Use a Line Chart to display historical and forecasted sales. Adjust Forecast Parameters: Customize the forecast length and confidence intervals. 4. Scenario: Updating a SQL Table with New Data Approach: Understand the Schema: Identify the table and columns to be updated. SQL Query: UPDATE Employees SET JobTitle = 'Senior Developer' WHERE EmployeeID = 1234; 5. Scenario: Creating a Custom KPI in Power BI Approach: Define KPI: Identify the key performance indicators. Create Measures: Define the KPI measure using DAX. Visualization: Use KPI Visual or Card Visual. Configure the target and actual values. Conditional Formatting: Apply conditional formatting based on the KPI thresholds.

Excel Useful Shortcuts 👇👇 https://www.linkedin.com/posts/sql-analysts_excel-activity-7205903255766282240-HH5D

You don't need to know everything about every data tool. Focus on what will help land you your job. For Excel: - IFS (all variations) - XLOOKUP - IMPORTRANGE (in GSheets) - Pivot Tables - Dynamic functions like TODAY() For SQL: - Sum - Group By - Window Functions - CTEs - Joins For Tableau: - Calculated Columns - Sets - Groups - Formatting For Power BI: - Power Query for data transformation - DAX (Data Analysis Expressions) for creating custom calculations - Relationships between tables - Creating interactive and dynamic dashboards - Utilizing slicers and filters effectively

🐳 @whale – #1 licensed platform gaming and sportsbook on Telegram! 1mil+ people trust us, 226k native users on @whalesocials, and the community is only growing!😈 ❤️‍🔥Our buns ❤️‍🔥 🥰Supports BTC, USDT, TON, CELO and NOT 🤑Instant withdrawals 🥰Regular giveaways Share your thoughts and feedback of @Whale on Ton.app and Trustpilot. You make us better ❔

Python for everything 👇👇 https://www.linkedin.com/posts/sql-analysts_many-people-charge-too-much-to-teach-python-activity-7204810034940153857-2Rlh Like for more ❤️

MUST ADD these 5 POWER Bl projects to your resume to get hired Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger 📌Customer Churn Analysis 🔗 https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input 📌Credit Card Fraud 🔗 https://github.com/sahidul-shaikh/credit-card-fraud- 📌Movie Sales Analysis 🔗https://www.kaggle.com/datasets/PromptCloudHQ/imdb-data 📌Airline Sector 🔗https://www.kaggle.com/datasets/yuanyuwendymu/airline- 📌Financial Data Analysis 🔗https://www.kaggle.com/datasets/qks1%7Cver/financial-data- ✅ Free Courses with Certificate: https://t.me/free4unow_backup Simple guide 1. Data Utilization: - Initiate the process by using the provided datasets for a comprehensive analysis. 2. Domain Research: - Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis. 3. Dashboard Blueprint: - Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality. 4. Data Handling: - Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations. 5. Question Formulation: - Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data. 6. Platform Integration: - Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility. 7. LinkedIn Visibility: - Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections. I have curated the best interview resources to crack Power BI Interviews 👇👇 https://topmate.io/analyst/866125 Hope you'll like it Like for more 👍❤️

🐳Meet @whale – your new go-to gaming platform, now available on Telegram! There are many games on our licensed platform where you can make a big jackpot! 🏎Over 1000 games with impressive winning odds. 🤑Accepts BTC, USDT, TON, and CELO. 🏎Up to 20% cashback. 🤑Ongoing promotions and contests with valuable rewards. 🏎Sportsbook with seamless betting, and the best odds that you could only imagine! 💎From May 16, you can play and withdraw notcoin! Forget about registration – play and cash out your prizes right from Telegram. ⬆️ Join now and win big with @whale 🥰

Important Interview Questions for SQL 👇👇 https://www.linkedin.com/posts/sql-analysts_preparing-for-an-sql-interview-here-are-activity-7201945469835476994-lI_m