Key_Statistical_Techniques_in_Analytics_by_CA_Suvidha_Chaplot.pdf

## 🎯 **Title:** **Key Statistical Techniques in Analytics** *by CA Suvidha Chaplot* --- ### 📝 **SlideShare Description:** Discover the fundamental **statistical techniques** that power data analytics in this comprehensive infographic series by **CA Suvidha Chaplot**. From **regression analysis** to **Bayesian inference**, each visual explores a key technique used to extract insights, identify patterns, and support decision-making in data-driven environments. This 14-part series covers: * **Regression Analysis** * **Clustering** * **Hypothesis Testing** * **Analysis of Variance (ANOVA)** * **Principal Component Analysis (PCA)** * **Time Series Analysis** * **Poisson Regre ``` Key Statistical Techniques in Analytics Data Analytics ssion** * **Density Estimation** * **Bayesian Inference** * **Survival Analysis** ... and much more! Whether you're an aspiring data scientist, analyst, or simply curious about the role of statistics in modern analytics, this series offers a simplified yet insightful look at essential statistical methods. --- ### 🔍 **SEO Keywords / Tags:** Regression Analysis Hypothesis Testing Clustering in Data Analytics Principal Component Analysis (PCA) Time Series Analysis Poisson Regression Density Estimation Bayesian Inference Analysis of Variance (ANOVA) Survival Analysis Data Science Tools Statistical Methods for Data Science Statistics in Business Analytics CA Suvidha Chaplot Business Intelligence Data Science Techniques Big Data Analytics Analytics for Decision Making ```