SAS Professional Certificate in Statistical Business Analyst using SAS

AB Test for Matched Pairs Design

These additional exercises are projects in my university courses (statistical software-statistics and probability).

This repo contains various Statistics techniques like descriptive_Statistics including Central tendency, CLT, Z_Score and inferential statistics etc..

Utilize R and RStudio to analyze production data to provide insights.

The logic I'm using to compare several optimization algorithms with different optimization parameters

This repository Includes Data Analysis of Engineering Colleges of India, Data Analysis of a Sports Facility using SQL, Data Analysis of Financial market Data using Quandle API. Skills used in this project are Requests Library, Data wrangling, Data Analysis of GSS(Global Social Survey) dataset using R and Hypothesis Test(Chi - Squared Test) and D…

Analyzing the Zomato dataset to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru and aggregate rating of each restaurant.

These are my R statistical analysis codes.

This repository has been created to link my statistical testing assignments and independent studies for Thinkful as I navigate thru the Data Analytics Immersion program from October 2020 - January 2021.

Guide to T-testing using R. Python will be included in future updates

Capstone 2 for Thinkful's Data Analytics Program. Statistical analysis of variables that may impact a vehicles fuel economy.

Fictional company AutosRUs’ newest prototype, the MechaCar, is suffering from production troubles that are blocking the manufacturing team’s progress. AutosRUs’ senior management enlisted assistance from the data analytics team to review the production data for insights that may help the manufacturing team overcome their production issues.

The repository covers some of the key concepts of Inferential Statistics with the help of R.

Multiple Linear Regression to determine what quantifies miles per gallon from this dataset. Followed by various statistical testing.

Analysis on MechaCar data to help the manufacturing team, using R to run multiple linear regression, summary statistics, and t-tests.

Perform linear regression and T-tests on vehicle data

This project explores the data of medical insurance claims. Descriptive Analysis, Exploratory data analysis, Univariate, Bivariate and multivariate analysis is performed to explore the data and how different features are correlated to each other. Finally, hypothesis testing is performed by employing t-test, Chi-squared test and One-way ANOVA.

Performing Statistical Tests and Analysis in R

Using R to design a linear model that predicts mpg and perform t-tests on suspension coils