Books

Introduction to Scientific Programming and Simulation using R: R is a popular open-source programming language and software environment for statistical computing and graphics. It provides a wide range of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical data representations. Scientific programming and simulation using R … Read more

Data Analysis and Graphics Using R: R is a programming language and software environment for statistical computing and graphics. It provides a wide range of statistical and graphical techniques, including linear and nonlinear modeling, statistical tests, time-series analysis, classification, clustering, and others. R is free and open-source, which means that anyone can download and use … Read more

Data Analysis From Scratch With Python: Beginner Guide: Python is a popular programming language that can be used for data analysis. It provides a wide range of libraries and frameworks that enable you to easily perform data analysis tasks. Some of the popular libraries that you can use for data analysis with Python include Pandas, … Read more

Data Science essential in python: Python is one of the most popular programming languages used for data science due to its powerful libraries and frameworks that enable data manipulation, analysis, and visualization. Below are some essential data science tools in Python: These are just a few of the essential data science tools in Python. There … Read more

Learn Python in One Day and Learn It Well: Python for Beginners with Hands-on Project: I’m sorry, but it’s not possible to learn Python or any programming language in just one day. Programming is a complex skill that requires time and practice to master. However, “Learn Python in One Day and Learn It Well” is … Read more

Python for data analysis: Data wrangling with pandas NumPy and ipython: Python is a popular programming language for data analysis, and pandas, NumPy, and iPython are powerful libraries that can be used to perform data-wrangling tasks. Here is a brief overview of each library and how they can be used for data wrangling: Together, these … Read more

Mathematical Statistics with resampling and R: Mathematical statistics is the branch of statistics that deals with the theoretical underpinnings of statistical methods, including probability theory, statistical inference, hypothesis testing, and the design of experiments. Resampling is a technique used in statistics to estimate the sampling distribution of a statistic by repeatedly sampling from the original … Read more

Introducing Data Science: Big Data, Machine Learning, and more using Python tools is a comprehensive introduction to the field of data science, aimed at beginners with little or no background in statistics or programming. The book covers a wide range of topics, from data collection and cleaning to data visualization and machine learning. The book … Read more

Certainly, I’d be happy to help you learn data visualization in Python! Data visualization is an essential skill for data analysis and communicating insights to others. Python offers many powerful libraries for data visualization, including Matplotlib, Seaborn, Plotly, and many more. Here are some steps to get started: import matplotlib.pyplot as plt import pandas as … Read more

Time Series Analysis And Its Application With R: Time series analysis is a statistical technique used to analyze and model time-based data. It involves examining patterns and trends over time to identify underlying factors contributing to data changes. R is a popular programming language used for time series analysis, with numerous packages and tools available … Read more