Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test

Analytics Vidhya

Overview Hypothesis testing is a key concept in statistics, analytics, and data science Learn how hypothesis testing works, the difference between Z-test and t-test, The post Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test appeared first on Analytics Vidhya. Beginner Python Statistics Technique hypothesis building Hypothesis Testing statisticial tests statistics statistics for data science t-test z test

What is Bootstrap Sampling in Statistics and Machine Learning?

Analytics Vidhya

The post What is Bootstrap Sampling in Statistics and Machine Learning? Beginner Python Statistics Technique bootstrap sampling bootstrap sampling machine learning Bootstrapping sample Sampling

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Statistics for Data Science: What is Normal Distribution?

Analytics Vidhya

The post Statistics for Data Science: What is Normal Distribution? Beginner Machine Learning Maths Probability Python Statistics data science Density Plot Histograms Kurtosis Normal Distribution normalization Probability density function Skewness

Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python)

Analytics Vidhya

The post Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python) appeared first on Analytics Vidhya. Beginner Healthcare Python Statistics Structured Data Technique Anova ANOVA COVID ANOVA statistics statsticsIntroduction “A fact is a simple statement that everyone believes. It’s innocent, unless found guilty. A Hypothesis is a novel suggestion that no one.

Quantifying a Culture of Innovation

Statistics 101: Introduction to the Central Limit Theorem (with implementation in R)

Analytics Vidhya

Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.

Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. 2019 Aug Opinions Uncategorized Advice Data Science Machine Learning Statistics

5 Statistical Traps Data Scientists Should Avoid

KDnuggets

Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid. 2019 Oct Tutorials, Overviews Bias Fallacies Simpson's Paradox Statistics

Basic Statistics Concepts for Data Scientists

Dataiku

Statistics can be tremendously beneficial for data scientists, both those that are new to the field and those who have been practicing for a number of years. While many data scientists do not have formal training in statistics, having a foundation of the basics can be critical.

Descriptive Statistics in Python for Understanding Your Machine Learning Data

DataFloq

Statistics has its own significance in data science, but it’s not the only thing which data scientists have to deal with. Statistics are of two kinds – Bayesian and Classical. The method SCD has its grounding in matrix math and hardly need classical statistics.

Descriptive Statistics and Data Visualization

TDAN

Turn Your Statistics Into Something More Interesting Data is quickly becoming a defining thing in the business world. A company which doesn’t pay attention to proper statistics can be at a serious disadvantage from companies who do, especially companies that […].

Statistical Methods and Machine Learning Algorithms for Data Scientists

DataFloq

There are statistical methods and machine learning algorithms for data scientists which help them provide training to computers to find information with minimum programming. The mining of useful data from big data sets is done by professional big data analysts.

Statistics Changing Marketing Strategies

TDAN

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code

Analytics Vidhya

R Statistics Technique chi-square test statistical tests statistics statistics for data science statistics in ROverview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should.

What is Multicollinearity? Here’s Everything You Need to Know

Analytics Vidhya

Beginner Python Regression Statistics Structured Data Technique linear regression multicollinearity multicollinearity machine learning multicollinearity statistics python statistics VIF

A Data Scientist’s Guide to 8 Types of Sampling Techniques

Analytics Vidhya

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of. Statistics Descriptive statistics different kinds of sampling Inferential Statistics random sampling Sampling statisticsThe post A Data Scientist’s Guide to 8 Types of Sampling Techniques appeared first on Analytics Vidhya.

What’s the difference between analytics and statistics?

KDnuggets

2019 Sep Opinions Analytics Explained StatisticsFrom asking the best questions about data to answering those questions with certainty, understanding the value of these two seemingly different professions is clarified when you see how they should work together.

An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals

Analytics Vidhya

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya. Probability Statistics bayes theorem Bayesian Statistics conditional probability data science probability statistics statistics for data science

Machine Learning Vs. Statistical Learning

Perficient Data & Analytics

Most of the time as a data scientist I get asked the question, what is the difference between Machine Learning and Statistical Learning? To become a data scientist, you are quired to develop knowledge in multiple subjects such as Statistics, Programming, SQL, Linear Algebra and have the domain expertise. Hopefully, you will start your journey with Statistics, and most of the data scientists believe that this is the foundation in Data Science and I cannot disagree with them.

A learning guide to IBM SPSS Statistics: Get the most out of your statistical analysis

IBM Big Data Hub

IBM SPSS Statistics provides a powerful suite of data analytics tools which allows you to quickly dig into your data with a simple point and click interface and enables you to extract critical insights with ease.

Everything you Should Know about p-value from Scratch for Data Science

Analytics Vidhya

Statistics how to calculate p-value p value p-value from scratch p-value statistics statisticsOverview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more.

Statistical Thinking for Industrial Problem Solving: a free online course.

KDnuggets

2020 Jan News Course JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

Measuring Bias in Machine Learning: The Statistical Bias Test

DataCamp

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

Analytics Vidhya

Machine Learning Python Statistics loss functions loss functions machine learning loss functions statistics machine learning regression loss statisticsOverview What are loss functions? And how do they work in machine learning algorithms?

Statistical Thinking for Industrial Problem Solving: a free online course

KDnuggets

2019 Oct Courses, Education JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

Getting into Deep Learning? Here are 5 Things you Should Absolutely Know

Analytics Vidhya

Beginner Deep Learning Listicle Maths Pandas Profile Building Python Statistics Uncategorized deep learning machine learning mathematics python statisticsStarting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers.

How and when to calculate statistical significance

Mixpanel on Data

Few professionals assess the statistical accuracy of their studies. What keeps teams from checking the statistical significance of their results? What is a statistical significance test? There are a wide variety of biases to consider when assessing a statistical test.

Statistical Thinking for Industrial Problem Solving – a free online course

KDnuggets

2019 Dec Events JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

Why data analysts should choose stories over statistics

KDnuggets

Join the Crunch Data Conference in Budapest, Oct 16-18, with stellar speakers from companies like Facebook, Netflix and LinkedIn. Use the discount code ‘KDNuggets’ to save $100 off your conference ticket.

IBM SPSS Statistics free trial extended through June 15 due to pandemic

IBM Big Data Hub

In response to the worldwide pandemic, IBM will be extending the SPSS Statistics Subscription trial for active and new accounts through June 15. We recognize that these are difficult times.

2 ways to harness the power of SPSS Statistics

IBM Big Data Hub

In this blog, we’ll look at the differences between an SPSS Statistics Subscription and the traditional on-premises license that was the only way to purchase SPSS Statistics up until 2017.

Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings!

Analytics Vidhya

Machine Learning Statistics amazon review system bayes theorem bayesian statistics bayesian stats data science online reviews statisticsOverview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems. The post Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! appeared first on Analytics Vidhya.

Guest Post: Galin Jones on criteria for promotion and tenture in (bio)statistics departments

Simply Statistics

After giving my talk Galin Jones , Professor and Director of Statistics at University of Minnesota, and I had an interesting conversation about how they had changed their promotion criteria in response to a faculty candidate being unique. This is often code for publishing as many articles as possible in the big four journals–JASA, Biometrika, JRSSB, and the Annals of Statistics.

Statistics for Google Sheets

The Unofficial Google Data Science Blog

The statistics app for Google Sheets hopes to change that. Editor's note: We've mostly portrayed data science as statistical methods and analysis approaches based on big data. hope to replace R, SAS, or similar packages designed by and for statistics experts. Statistics ?

Statistical Thinking for Industrial Problem Solving (STIPS) – a free online course.

KDnuggets

2019 Aug Courses, Education JMP Online Education StatisticsThis online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

KDnuggets™ News 19:n42, Nov 6: 5 Statistical Traps Data Scientists Should Avoid; 10 Free Must-Read Books on AI

KDnuggets

Learn about statistical fallacies Data Scientists should avoid; New and quite amazing Deep Learning capabilities FB has been quietly open-sourcing; Top Machine Learning tools for Developers; How to build a Neural Network from scratch and more. KDnuggets 2019 Issues AI Free ebook Mistakes Statistics

Why data and analytics experts choose SPSS Statistics

IBM Big Data Hub

While I won’t be able to save the world just yet, I’d like to explain how statistical analysts and data experts use tools to understand data and how this data can then be managed to influence our environment One could argue that many of the world’s problems can be solved with data.

What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis?

Smarten

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? How Does One Choose the Right Descriptive Statistics Algorithm for Enterprise Analysis?

10+ Simple Yet Powerful Excel Tricks for Data Analysis

Analytics Vidhya

Beginner Business Analytics Data Exploration Data Science Excel Programming Statistics Structured Data Charts data data analysis data cleaning data processing excel charts excel shortcuts excel tips excel tricks pivot

DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform

Analytics Vidhya

Analytics Vidhya Career Data Science data science questions data science quiz Datamin machine learning machine learning quiz statistics statistics quizWe are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers. The post DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform appeared first on Analytics Vidhya.

UI Alerts and Statistics

Nutanix

How do we manage a very large and complex product that could potentially have hundreds or thousands of entities

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Machine Learning Python Statistics AUC concordant ratio confusion matrix cross-validation discordant ratio error metrics gain and lift charts gini coefficient k fold validation kolmogorov smirnov charts Predictive modeling ROC

Build Better and Accurate Clusters with Gaussian Mixture Models

Analytics Vidhya

Algorithm Clustering Intermediate Machine Learning Python Statistics Structured Data Technique Unsupervised clustering EM expectation maximization Gaussian Distribution gaussian mixture models GMM kmeans Probability density function python