Key_Statistical_Techniques_in_Analytics_by_CA_Suvidha_Chaplot (1).pdf

## 📊 **Title:** **Key Statistical Techniques in Analytics** *by CA Suvidha Chaplot* --- ### 📝 **SlideShare Description (SEO Optimized)** > 📊 **Dive into the world of key statistical techniques that power data analytics!** > > In this 14-part infographic series, **CA Suvidha Chaplot** visually explains the most important statistical techniques used in data analysis, including: > > * **Regression Analysis** > * **Clustering** > * **Hypothesis Testing** > * **ANOVA** > * **Principal Component Analysis (PCA)** > * **Time Series Analysis** > * **Poisson Regression** > * **Density Estimation** > * **Bayesian Inference** > > Whether you're a data enthusiast, student, or professional, this colorful and engaging series will help you understand how these techniques are applied in real-world analytics to extract insights, identify patterns, and make data-driven decisions. > > 🌟 **What You’ll Learn:** > > * The role of **statistical methods** in data analysis > * How to interpret and apply techniques like **regression, clustering, hypothesis testing, and more** > * Real-world applications and examples of statistical analysis > > **Master data analytics** by understanding the underlying statistical techniques used in every analysis! --- ### 🔍 **SEO Keywords / Tags** ``` Key Statistical Techniques Data Analytics Techniques Regression Analysis Clustering in Data Science Hypothesis Testing ANOVA Statistical Test Principal Component Analysis (PCA) Time Series Analysis Poisson Regression Density Estimation Bayesian Inference in Analytics Statistical Methods in Analytics Data Science Techniques Data Analytics SlideShare Infographic Data Analytics Statistical Data Science Data Analysis for Business Strategy CA Suvidha Chaplot Real-life Applications of Statistics ```