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11 Essential Python Libraries for Data Analysts! 📊 Make Data Work for You.... ↳ 𝐍𝐮𝐦𝐏𝐲 – 𝐓𝐡𝐞 𝐍𝐮𝐦𝐞𝐫𝐢𝐜𝐚𝐥 𝐏𝐨𝐰𝐞𝐫𝐡𝐨𝐮𝐬𝐞 Provides support for large, multi-dimensional arrays and matrices, along with functions to operate on them seamlessly. ↳ 𝐒𝐜𝐢𝐏𝐲 – 𝐄𝐱𝐭𝐞𝐧𝐝𝐢𝐧𝐠 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 Built on NumPy, SciPy offers numerous scientific and engineering functions to enhance your analyses. ↳ 𝐏𝐚𝐧𝐝𝐚𝐬 – 𝐓𝐡𝐞 𝐃𝐚𝐭𝐚 𝐖𝐫𝐚𝐧𝐠𝐥𝐞𝐫’𝐬 𝐒𝐰𝐢𝐬𝐬 𝐀𝐫𝐦𝐲 𝐊𝐧𝐢𝐟𝐞 A must-have for structured data manipulation, cleaning, and preparation. ↳ 𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛 – 𝐓𝐡𝐞 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐥𝐨𝐭𝐭𝐢𝐧𝐠 From static to interactive and animated, Matplotlib sets the stage for powerful visualizations. ↳ 𝐒𝐞𝐚𝐛𝐨𝐫𝐧 – 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐌𝐚𝐝𝐞 𝐄𝐥𝐞𝐠𝐚𝐧𝐭 Easily create attractive and informative statistical graphs. ↳ 𝐒𝐜𝐢𝐤𝐢𝐭-𝐋𝐞𝐚𝐫𝐧 – 𝐓𝐡𝐞 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐏𝐨𝐰𝐞𝐫𝐡𝐨𝐮𝐬𝐞 Simple, efficient tools for data mining and analysis, perfect for machine learning tasks. ↳ 𝐒𝐭𝐚𝐭𝐬𝐦𝐨𝐝𝐞𝐥𝐬 – 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐑𝐢𝐠𝐨𝐫 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 Provides classes and functions to conduct statistical tests and explore data. ↳ 𝐏𝐥𝐨𝐭𝐥𝐲 – 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 Supports various chart types, including statistical, financial, and geographic, making data exploration engaging. ↳ 𝐀𝐩𝐚𝐜𝐡𝐞 𝐒𝐮𝐩𝐞𝐫𝐬𝐞𝐭 – 𝐓𝐡𝐞 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐏𝐨𝐰𝐞𝐫𝐡𝐨𝐮𝐬𝐞 A scalable, open-source platform for creating interactive dashboards and reports. ↳ 𝐃𝐚𝐬𝐤 – 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐨𝐫 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 Enables parallel and distributed computing, making handling large datasets easier. #datascience #visualization #python #data #powerbi #dataanalysis #businessintelligence #tableau #datavisualization

Types of Data Analysis. 1. Descriptive Analysis 2. Diagnostic Analysis 3. Predictive Analysis 4. Prescriptive Analysis 5. Exploratory Analysis In order to achieving Real-Time Visibility in 3PL. DM me "data" for checklist. #PowerBI #DataAnalytics #datascience #visualization #data #dataanalysis #businessintelligence #datavisualization

Master the CALCULATE() function in Power BI It’s one of the most powerful tools for dynamic, complex measures. You may have heard it called “DEX”—but it’s actually DAX! Here's how you can unlock its potential : Here are the key headlines for your LinkedIn post: ↳ Basic Use of CALCULATE() ↳ Using Multiple Filters ↳ Using CALCULATE() with ALL to Ignore Filters ↳ CALCULATE() with FILTER for Complex Filtering ↳ Time Intelligence with CALCULATE() ↳ Using CALCULATE() with RELATED ↳ CALCULATE() with SELECTEDVALUE ↳ Dynamic Segmentation with CALCULATE() ↳ Combining CALCULATE () with SWITCH for Conditional Calculations ↳ Nested CALCULATE ♻️ Repost this if you found it helpful. #datascience #visualization #data #powerbi #dataanalysis #businessintelligence #datavisualization

25 Essential KPIs for Retail Fashion and Apparel. ✅Conversion Rate ✅Customer Lifetime Value (CLV) ✅Gross Profit Margin ✅Sales Growth Year-over-Year (YoY) ✅Average Transaction Value ✅Sell-Through Rate ✅Customer Satisfaction Score (CSAT) ✅Net Promoter Score (NPS) ✅Inventory Turnover ✅Customer Retention Rate ✅Average Order Value (AOV) ✅Market Basket Analysis ✅Online vs. In-store Sales ✅Employee Productivity and Efficiency ✅Shrinkage ✅Supply Chain Cycle Time ✅Lead Time in Fashion Design ✅Return Rate ✅Debt-to-Equity Ratio ✅Current Ratio ✅Quick Ratio ✅Cash Conversion Cycle (CCC) ✅Days Sales Outstanding (DSO) ✅Rent-to-Sales Ratio ✅Wages-to-Sales Ratio DM me for Free Strategy Session #datascience #visualization #ecommerce #data #powerbi #dataanalysis #businessintelligence #tableau #datavisualization

6 Ways Data Analytics is Helping Logistics Companies. Ever wondered how Big Data Analytics can help reduce costs in the Logistics industry? Here's the secret. Big Data Analytics is not just a buzzword. It's a powerful tool that can significantly reduce costs in the Logistics industry. Here's how: 1️⃣ Optimized Routes: Big Data Analytics can help identify the most efficient routes, saving both time and fuel costs. 2️⃣ Predictive Analytics: Through predictive analysis, companies can anticipate potential issues and implement proactive solutions, avoiding costly problems down the line. 3️⃣ Inventory Management: Big Data can provide precise inventory predictions, reducing carrying costs and eliminating waste. 4️⃣ Customer Insights: Understanding customer behavior can help tailor services, reducing marketing costs and increasing customer satisfaction. 5️⃣ Real-time Tracking: With Big Data, companies can track shipments in real time, reducing mishandling and lost items costs. 6️⃣ Risk Management: Data analytics can identify potential risks and allow for strategic decision making, minimizing losses. In essence, Big Data Analytics provides a more efficient, cost-effective way of managing logistics. It's time we leverage the full potential of this powerful tool. DM me for Reporting Services. #datascience #visualization #data #powerbi #dataanalysis #businessintelligence #tableau #datavisualization #logistics #supplychain #operationalexcellence #freightforward #import #export #airfreight #shipping

Master the fundamentals of Business Intelligence today Dive into the world of Business Intelligence (BI) and see how turning data into actionable insights can elevate your company. Here’s why you should invest in BI : Enhanced Decision-Making Leverage data to make strategic decisions with confidence. Identify Trends: Spot emerging trends to stay ahead of the competition. Optimize Operations: Use data insights to improve efficiency and productivity. Boost Performance: Track and measure performance metrics to achieve better results. Book a Strategy Session (visit my website) #datascience #visualization #data #powerbi #dataanalysis #businessintelligence #tableau #datavisualization