Analytics Vidhya

JULY 21, 2024

A fundamental understanding of statistical tests is necessary to derive insights from any data. Whether you’re analyzing customer behavior, optimizing algorithms, […] The post 5 Statistical Tests Every Data Scientist Should Know appeared first on Analytics Vidhya.

Statistics 350

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Analytics Vidhya

MARCH 30, 2021

Introduction Instead of starting with the definition of statistics, I. The post Statistical Analysis of Data for Data Scientists appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Statistics 370

Statistics Data Science Publishing Analytics 370

Analytics Vidhya

JUNE 23, 2022

Introduction Hypothesis testing is one of the most important techniques applied in various fields such as statistics, economics, pharmaceutical, mining and manufacturing industries. The post Hypothesis Testing in Inferential Statistics appeared first on Analytics Vidhya.

Statistics 348

Statistics Testing Manufacturing Data Science 348

Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. Data processing is […].

Statistics 358

Statistics Data Science Experimentation Publishing 358

Analytics Vidhya

FEBRUARY 8, 2021

The post Statistics 101: Beginners Guide to Continuous Probability Distributions appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction In the previous post, we have defined Probability Distributions and briefly.

Statistics 397

Statistics Data Science Publishing Analytics 397

Analytics Vidhya

MARCH 14, 2024

Introduction The role of statistics in the dynamic field of data science is foundational, acting as the critical toolset for analyzing and making sense of the vast data landscapes of today. With countless resources at our disposal, selecting the right guide to navigate the intricate world of statistics can be overwhelming.

Statistics 397

Statistics Data Science Analytics 397

Analytics Vidhya

JULY 5, 2020

Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? appeared first on Analytics Vidhya.

Statistics 400

Statistics Data Science IT Analytics 400

Analytics Vidhya

JULY 31, 2021

The post Empirical Rule in Gaussian distribution in Statistics appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article is based on the very famous and important.

Statistics 374

Statistics Data Science Publishing Analytics 374

Analytics Vidhya

AUGUST 13, 2024

Introduction Statistics is a cornerstone of data science, machine learning, and many analytical domains. GitHub hosts numerous repositories that are excellent resources for anyone looking to deepen their statistical knowledge. Mastering it can significantly enhance your ability to interpret data and make informed decisions.

Statistics 316

Statistics Data Processing Machine Learning Data Science 316

Analytics Vidhya

MAY 4, 2021

The post An Introduction to Statistics For Data Science: Basic Terminologies Explained appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Are you an aspiring data scientist who wants to learn.

Statistics 400

Statistics Data Science Publishing Analytics 400

Analytics Vidhya

AUGUST 1, 2021

The post A Guide To Complete Statistics For Data Science Beginners! ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Introduction: In this article, we will learn all the important. appeared first on Analytics Vidhya.

Statistics 390

Statistics Data Science Publishing Analytics 390

Analytics Vidhya

AUGUST 30, 2022

Introduction As Josh Wills once said, “A Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician“ Statistics is a fundamental tool when dealing with data and its analysis in Data Science. It provides […].

Statistics 343

Statistics Data Science Publishing Analytics 343

Analytics Vidhya

JUNE 23, 2021

The post Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This is the second article of the series on ‘Traversing.

Statistics 395

Statistics Data Science Publishing Analytics 395

Analytics Vidhya

AUGUST 2, 2021

The post Intermediate Statistical Concepts for Data Science Beginners! ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello all, In this tutorial, we will cover some Intermediate. appeared first on Analytics Vidhya.

Statistics 358

Statistics Data Science Publishing Analytics 358

Analytics Vidhya

JANUARY 24, 2023

Introduction Statistical models are significant for understanding and predicting complex data. A viable area for statistical modeling is time-series analysis. Statistical models […] The post Learning Time Series Analysis & Modern Statistical Models appeared first on Analytics Vidhya.

Statistics 328

Statistics Modeling Finance Technology 328

Analytics Vidhya

JULY 17, 2024

Introduction Statistical Analysis of text is one of the important steps of text pre-processing. The pyNLPL […] The post Textual Statistical Analysis Using pyNLPL (Pineapple) Library appeared first on Analytics Vidhya. It helps us understand our text data in a deep, mathematical way.

Statistics 304

Statistics Modeling Analytics IT 304

Analytics Vidhya

JULY 30, 2024

Introduction In quality management, Statistical Process Control (SPC) charts are the key for organizations to help oversee, control, and improve their processes. Through statistical methods, SPC charts highlight variations and identify patterns to ensure consistent product quality. Overview What are SPC Charts?

Statistics 291

Statistics Management Analytics 291

Analytics Vidhya

JUNE 29, 2023

Businesses and governments extensively use data to make essential choices […] The post Difference Between Data Science vs Statistics appeared first on Analytics Vidhya. A growing need for data science roles in various fields has led to the masses opting for specialized degrees and training programs in data science.

Statistics 328

Statistics Data Science Analytics 328

Analytics Vidhya

MARCH 22, 2024

Introduction At the heart of data science lies statistics, which has existed for centuries yet remains fundamentally essential in today’s digital age. Because basic statistics concepts are the backbone of data analysis, enabling us to make sense of the vast amounts of data generated daily.

Statistics 327

Statistics Data Science Analytics IT 327

Analytics Vidhya

JANUARY 13, 2024

One such module is the statistics module, which provides a comprehensive set of functions for statistical operations. Introduction Python is a powerful programming language that offers a wide range of modules for various applications.

Statistics 311

Statistics IT Analytics 311

Analytics Vidhya

JUNE 8, 2021

The post Complete Guide to Data Types in Statistics for Data Science appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Data Science, we aim to do different experiments with.

Statistics 349

Statistics Data Science Publishing Analytics 349

Analytics Vidhya

NOVEMBER 2, 2023

Introduction Statistical analysis means investigating trends, patterns, and relationships using quantitative data. To draw valid results, statistical analysis requires planning from the start of the research process. It is a crucial research tool used by scientists, governments, businesses, and other organizations.

Statistics 314

Statistics Analytics IT 314

Analytics Vidhya

MAY 19, 2023

Statistics involves gathering and organizing raw data into an easily understandable format. There are two broad categories of statistical methods: descriptive and inferential statistics. This article will explain the difference between descriptive vs inferential statistics. appeared first on Analytics Vidhya.

Statistics 288

Statistics Analytics 288

Analytics Vidhya

AUGUST 28, 2024

Introduction Statistics is not limited to academic or specific profession. No matter whether you need to study data sciexnce, do some research or just try to handle the information about yourself, you need to understand statistics.

Statistics 270

Statistics Analytics Data Science Visualization 270

Analytics Vidhya

JULY 21, 2023

Introduction Statistical analysis plays a crucial role in the fast-developing field of data science, enabling researchers to gain insightful knowledge from data. This article compares frequentist vs […] The post Frequentist vs Bayesian Statistics in Data Science appeared first on Analytics Vidhya.

Statistics 271

Statistics Data Science Strategy Analytics 271

Analytics Vidhya

AUGUST 29, 2023

Whether you’re delving into descriptive statistics, probability distributions, or sophisticated regression models, R’s versatility and extensive packages facilitate seamless statistical exploration. R, an open-source tool, empowers data enthusiasts to explore, analyze, and visualize data with precision.

Statistics 270

Statistics Visualization Modeling Analytics 270

Analytics Vidhya

NOVEMBER 20, 2024

A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction.

Statistics 198

Statistics Machine Learning Data Science Modeling 198

Analytics Vidhya

NOVEMBER 26, 2024

While Pandas’ describe() function has been a go-to tool for many, its functionality is limited to numeric data and provides only basic statistics. Data summarization is an essential first step in any data analysis workflow.

Statistics 208

Statistics Visualization Analytics IT 208

Analytics Vidhya

DECEMBER 27, 2024

Probability is a cornerstone of statistics and data science, providing a framework to quantify uncertainty and make predictions. Understanding joint, marginal, and conditional probability is critical for analyzing events in both independent and dependent scenarios. This article unpacks these concepts with clear explanations and examples.

Uncertainty 208

Uncertainty Statistics Measurement Data Science 208

Analytics Vidhya

NOVEMBER 25, 2024

The normal distribution, also known as the Gaussian distribution, is one of the most widely used probability distributions in statistics and machine learning. Understanding its core properties, mean and variance, is important for interpreting data and modelling real-world phenomena.

Statistics 204

Statistics Machine Learning Modeling Analytics 204

Analytics Vidhya

DECEMBER 2, 2024

As indicated in machine learning and statistical modeling, the assessment of models impacts results significantly. Accuracy falls short of capturing these trade-offs as a means to work with imbalanced datasets, especially in terms of precision and recall ratios.

Statistics 208

Statistics Machine Learning Measurement Modeling 208

Analytics Vidhya

JANUARY 14, 2022

Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what?

Statistics 349

Statistics Data Science Publishing Analytics 349

Analytics Vidhya

MAY 4, 2022

Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions. Most of the algorithms used in statistical modellings such as Linear regression, Logistic Regression, […].

Statistics 397

Statistics Data Science Publishing Modeling 397

Analytics Vidhya

NOVEMBER 30, 2022

Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’? Willing to correctly interpret these statistical […].

Data Science 348

Data Science Statistics Testing Publishing 348