Intermediate Excel & Research Data Analysis resources
Intermediate Excel & Research Data Analysis resources
This Production Report helps in calculating the Target, Achieved and Deficit along with highlights and charts for each person. The Entire report is based on Excel Formulas and can be created easily. Details: Any value...
We can't think of our lives without MS Office these days. There are interesting functions which can be performed by MS Office efficiently and at a greater speed. However, if you're familiar with its shortcut Keys, you...
Analyzing loans and payments involves assessing various aspects of a loan, including its terms, interest rate, payment schedule, and the impact on your financial situation. Whether you are considering taking out a loan...
Uncover the fundamentals of data engineering with our comprehensive study notes. Whether you're a working professional seeking a theoretical foundation, a beginner looking to dive into the world of data engineering, or...
Computer users may do more with the aid of this book.The shortcuts are fantastically structured in a tabular format with Tasks and Shortcuts neatly organized. You will discover more about keyboard shortcuts through this...
Just an introduction. Get to learn the fundamentals of data science and using R programming as a tool for data analysis. Data Science is fun!
These documents contain selected solved exercises from the book "Introductory Statistics by Openstax College". Solution is provided from chapter 1 to chapter 13 and the details of the exercises is provided in...
This guide helps you make a choice for statistical analysis to be performed on your research data. It focuses on nine key areas which include the following; Use Cases, Industry Practical Examples, Data Preprocessing, ...
This document contains selected solved exercises from the book "Statistical Methods For The Social Sciences (5th Edition) by Alan Agresti" from chapter 3 to chapter 7. All the steps are calculated and explained in...
In this project, we delve into the realm of sentiment analysis using machine learning techniques on the IMDb dataset. Our primary goal is to predict sentiment polarity—positive or negative—of movie reviews, employing...
🚀 Launch Your Data Science Journey: Introducing the "Data Science Cheat Sheet - Bundle," your ultimate shortcut to mastering data science! 🔍 All-In-One Resource. 🎯 Tailored for all Data Science Students and...
In this project, we embark on a data-driven exploration into the world of insurance cost prediction using advanced machine learning techniques. Our primary objective is to harness the power of three distinct regression...
In this project, we delve into the realm of road safety analytics, aiming to predict the number of casualties in road accidents using advanced machine learning techniques. Our primary objective is to harness the power...
In this project, we delve into the world of sentiment analysis and recommendation prediction by utilizing advanced machine learning techniques. Our primary objective is to predict car recommendations based on customer...
In this project, we embark on a data-driven exploration into the realm of healthcare analytics, aiming to predict health condition labels using advanced machine learning methodologies. Our primary objective is to...
In this project, we embark on a journey into the realm of predictive analytics within the insurance sector, focusing on the prediction of Agent Bonus using advanced machine learning techniques. Our primary objective is...
In this project, Our focus is on understanding the underlying factors that influence a consumer's choice to make a purchase, and we explore the predictive accuracy of three prominent machine learning models: Decision...
These are 8 solved problems of Probability, Normal Distribution and Hypothesis testing topics. You can use these solutions to understand how to solve different problems relating to these topics. All the steps are...
Understanding of Data Science Machine Learning : Data Driven Approach Artificial Intelligence v/s Machine Learning v/s Deep Learning Significance of Data Science in today’s digitally-driven world Applications of...
The following documents contain the graduate and postgraduate level problems related to Descriptive Statistics, Hypothesis Testing and Confidence Intervals, Regression Analysis and Inference in Regression and...