#KB Probability Theory — Part 5- The Central Limit TheoremCentral Limit Theorem explained: From sample sizes to practical limits, see why it’s essential in statistical analysis and business.Nov 10Nov 10
#KB AWS Fundamentals — Compute Cloud with EC2Learn to deploy, monitor, and optimize Shiny applications on AWS EC2 with this comprehensive and practical setup guide.Nov 6Nov 6
#KB Probability Theory — Part 4- Common Continuous Probability DistributionsUse Uniform and Exponential distributions to solve real-world business problems with probability theory basics.Oct 31Oct 31
#KB App Development — UI and Dashboard Design with Shiny IIExplore UI principles for Shiny app development, from wireframing to implementing responsive dashboards, with a stock portfolio as example.Oct 31Oct 31
#KB Probability Theory — Part 3- Continuous Probability DistributionsUnderstanding continuous probability distributions: Learn the basics of the normal distribution, confidence intervals, and apply in ExcelOct 27Oct 27
#KB App Development — Getting Started with Shiny IShiny provides a flexible alternative to traditional BI tools, offering a way to develop responsive, fully customized data applications.Oct 27Oct 27
#KB Probability Theory — Part 2- Common Discrete Probability DistributionsLearn how Poisson & Geometric distributions help businesses predict customer flow, manage events, and improve decision-making strategiesOct 16Oct 16
#KB Probability Theory — Part 1- Introduction to Probability DistributionsFrom Concept to Spreadsheet: Probability Distributions for Business. Learn to use Excel for calculating & charting probability…Oct 14Oct 14
#KB API — Data RetrievalGuide to APIs: Discover the basics of APIs, their uses, and practical examples using Python and the ChatGPT API for data analysis.Oct 5Oct 5
#KB Web Scraping — FundamentalsPractical Web Scraping for Data Science: Explore how to scrape and preprocess website data efficiently using BeautifulSoup and Python.Oct 5Oct 5
