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SAS Professional Certificate in Statistical Business Analyst using SAS
AB Test for Matched Pairs Design
Utilize R and RStudio to analyze production data to provide insights.
These are my R statistical analysis codes.
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 Data Analysis of Json Data.
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.
The logic I'm using to compare several optimization algorithms with different optimization parameters
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..
Performing a multiple linear regression analysis to identify variables in a dataset that predict the mpg of prototype cars
An automotive manufacturer's newest prototype has been suffering from production troubles. I offered to review the production data to identify insights that may help. Within that, several statistical analyses were performed in R, including a multiple linear regression analysis to determine which variables in the dataset can be used to most accurately predict the mpg of the prototypes.
Use R and Python to create preliminary visualizations of key data aspects, Wrangle data to prepare for single sample t-test for means and multiple linear regression, then create professional visualizations in Tableau.
Statistical analysis comparing team play in the NBA regular season and playoffs. Linear Regression algorithm to predict players playoffs points per game based on their regular season stats. Collaborated with Stephan MacDougall.
Analysis on MechaCar data to help the manufacturing team, using R to run multiple linear regression, summary statistics, and t-tests.
An analysis of the production data of a prototype car using R Programming Language.
Web App: Calculate Sequential Probability Ratio Tests without Programming Skills
Statistical analysis of MPG and suspension coils in R
Using R and RStudio to perform statistical analysis
The repository covers some of the key concepts of Inferential Statistics with the help of R.
The analysis uses R language to run a multiple linear regression, t-tests, and generate summary statistics, in order to aid an automotive company in identifying the production troubles that are hindering the manufacture of a prototype car of theirs.
Capstone 2 for Thinkful's Data Analytics Program. Statistical analysis of variables that may impact a vehicles fuel economy.
Collection of projects used to evaluate the historical performance of a user defined asset allocation mix of index funds.
This project summarizes the findings of an A/B testing experiment comparing a Light Theme and a Dark Theme for a website. We investigated user behavior metrics to understand which theme might be more effective.
Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study
Statistical analysis use R for the car manufacturing data
Perform linear regression and T-tests on vehicle data
A patient's chance of stroke was predicted using analysis of a medical dataset. Project conducted in collaboration with a partner, Phillis Duong.
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.
Using R, this repository holds a statistical analysis that analyzes car production metrics across different manufacturing lots.
Performed a statistical analysis with t-tests and linear regression in R and R Studio on data taken from car design specs to determine if there were any differences between the cars in performance that were statistically significant.
Statistics and R to boost prototype car performance
Performing Statistical Tests and Analysis in R
Leverage linear regression and t-tests to provide analysis on MPG and suspension coil specs in R
Analyzing MechaCar production data with R in order to troubleshoot issues that are blocking AutoRUs' manufacturing process.
Learn how to use R and statistics in order to analyze vehicle data.