ParasforEssential Tech Guidetech-essentials.hashnode.dev·27 minutes agoKey Components of Data Science Every Professional Should Master by 2025Data science is more than just a trending field; it is the cornerstone of innovation, problem-solving, and decision-making in the modern world. As we approach 2025, the demand for skilled data science professionals grows across industries. But what d...DiscussData Science
pallavi chauhaninnovateitworld.hashnode.dev·4 hours agoHow Data Analytics is Revolutionizing the Finance IndustryThe finance sector, traditionally reliant on human expertise and intuition, is undergoing a groundbreaking transformation with the adoption of data analytics. By enabling the collection, processing, and interpretation of vast datasets, analytics is r...DiscussCustomer Experiences
esProc Desktopesproc-desktop.hashnode.dev·6 hours ago#101 - Deduplication of Row-Based Data - by Whole RowProblem description & analysis: There is a data table: Task: Find out the whole-row data that are not duplicate and the first duplicate whole-row data. Solution: Use SPL XLL and enter the following formula: =spl("=E(?1).group(ID,Name,Gender,Birthday...Discuss·10 likesexcel
esProc Desktopesproc-desktop.hashnode.dev·Nov 20, 2024#100 — Deduplication of Row-Based Data — by Key ColumnProblem description & analysis: There is a data table: Task: Find out the data that are not duplicates and the first duplicate data in the Name column. Solution: Use SPL XLL and enter the following code: =spl("=E(?1).group(Name).(~(1))",A1:D7) The ...Discuss·10 likesexcel
Nathan AyersforInfoComm Worldwideinfocommww.hashnode.dev·Nov 19, 2024Unleashing the Power of Lead Scoring and Conversion Forecasting with Data AnalyticsIn today's competitive business landscape, harnessing the power of data analytics is no longer a luxury—it's a necessity. Companies that effectively leverage lead scoring and conversion forecasting models within their data analytics workflows are see...Discuss·1 likelead generation
Muhammad Bashirheelu.hashnode.dev·Nov 14, 2024Pillars of data scienceThe four key pillars of data science are often described as: Data Collection and Acquisition This is the foundational step of data science. It involves gathering data from various sources, which could include databases, APIs, sensors, surveys, or pub...Discussdatascience
Ahmed Salaumedon.hashnode.dev·Nov 13, 2024Unlock the Power of Data: Transforming Insights with AWS QuickSightIn today's data-driven world, turning raw data into actionable insights is crucial. Data visualization plays a key role in unlocking this potential, and AWS QuickSight stands out as a powerful tool for cloud-based analytics. By seamlessly connecting ...DiscussAWS
Nathan AyersforInfoComm Worldwideinfocommww.hashnode.dev·Nov 13, 2024Unlocking Customer Retention: The Power of Churn Prediction ModelsIn today's hyper-competitive business landscape, customer retention is a critical factor for sustained growth and profitability. While acquiring new customers is essential, keeping existing ones is often more cost-effective and beneficial in the long...Discuss·1 likechurn analysis
nibedita nibeditaforDataScienceandAIinEverydayLifedatascienceandaiineverydaylife.hashnode.dev·Nov 13, 2024Data Science and AI in Everyday Life: Some Real-World Applications That You Didn’t KnowBy nature, data science and AI can be considered more sophisticated, modern technologies and large-scale industries. But they also feature in human lives significantly more often than one would expect, even though the interaction may be somewhat ind...DiscussData Science
Ruhi Parveenitcourses0001.hashnode.dev·Nov 12, 2024Data Dynamics: Harnessing Analytics for GrowthIn today's data-driven world, businesses and organizations are harnessing the power of analytics to fuel growth, make smarter decisions, and gain a competitive edge. The explosion of data from digital platforms, IoT devices, and business operations h...DiscussData Dynamics
