10 Statistical Functions in Excel every Analytics Professional Should Know

Analytics Vidhya

Overview Microsoft Excel is an excellent tool for learning and executing statistical functions Here are 12 statistical functions in Excel that you should master. The post 10 Statistical Functions in Excel every Analytics Professional Should Know appeared first on Analytics Vidhya.

Top 5 Statistical Concepts Every Data Scientist Should Know in 2020!

Analytics Vidhya

Must know Statistical concepts for the Data Science journey The main goal. The post Top 5 Statistical Concepts Every Data Scientist Should Know in 2020! Beginner Listicle Statistics accuracy Dimensionality Reduction Hypothesis Testing oversampling probability distribution undersamplin

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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

Statistics for Data Science: What is Skewness and Why is it Important?

Analytics Vidhya

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? Beginner Statistics Negative Skewness Normal Distribution outliers Positive Skewness Skewness statisticsappeared first on Analytics Vidhya.

Upgrading Data Security in a Crisis

Speaker: M.K. Palmore, VP Field CSO (Americas), Palo Alto Networks

In most cases, the COVID-19 crisis has sped up the desire to engage in digital transformation for medium-to-large scale enterprises. Roadmaps are rarely implemented without challenges. During this session, MK Palmore, the Field CSO (Americas) for Palo Alto Networks and a former public-sector executive, will walk through the difficulties of crisis planning execution in the midst of an organization's digital changes. He will use a combination of industry insights through statistical observations and direct customer feedback to emphasize the importance of adopting new technologies to battle an ever changing threat landscape.

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 SkewnessIntroduction to the Normal Distribution Have you heard of the bell curve? It tends to be among the most discussed water-cooler topics among people. appeared first on Analytics Vidhya.

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.

A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data

Analytics Vidhya

Introduction The first step in a data science project is to summarize, The post A Quick Guide to Descriptive Statistical Analysis – The First Step in Exploring your Data appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Boxing and Unboxing of Statistical Models with Gaussian Learning

Analytics Vidhya

The post Boxing and Unboxing of Statistical Models with Gaussian Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Values offer Focus amidst the Chaos” – Glenn C. Stewart Introduction Joseph.

Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R)

Analytics Vidhya

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, The post Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R) appeared first on Analytics Vidhya. R Statistics Hypothesis Testing Inferential Statistics statistics t-test

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. Probability R Statistics central limit theorem Normal Distribution probability statistics

Quantifying a Culture of Innovation

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 StatisticsCode written to make it easier does not negate the need for an in-depth understanding of the problem.

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

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. When people start talking about statistics, they are most often talking about classical statistics; but understanding both is beneficial. The method SCD has its grounding in matrix math and hardly need classical statistics. Traditional Methods for Statistics.

How Machine Learning Models Fail to Deliver in Real-World Scenarios

Analytics Vidhya

Beginner Data Science Statistics Bayesian Statistics machine learning Machine Learning Models machine learning real world statisticsThis article was published as a part of the Data Science Blogathon. Introduction Yesterday, my brother broke an antique at home. I began to.

Top 5 Statistical Techniques in Python

Sisense

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. In this article, we will explain how to execute five statistical techniques using Python. Importance of statistical techniques.

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 traditional software has a predictive and statistical analysis that helps in finding the patterns and getting the hidden information based on the perceived data. . The mining of useful data from big data sets is done by professional big data analysts.

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. Statistics, or the practice of using mathematics to analyze, interpret, and present data, allows us to leverage data — a critical element to any impactful machine learning model — in a deeper, more concrete way. In this blog post, we will cover three basic statistics concepts that will come in handy for any data scientist.

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.

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.

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 […]. It is the lifeblood of every company decision and thus, it defines what companies do.

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.

Hypothesis Testing: A Way to Prove Your Claim Using p-value

Analytics Vidhya

Introduction One of the most basic concepts in statistics is hypothesis testing. Beginner Business Analytics Statistics Technique confidence interval confidence level Hypothesis Testing one tailed test p-value statistics statistics two tailed testNot just in Data Science, Hypothesis testing is important in every field. The post Hypothesis Testing: A Way to Prove Your Claim Using p-value appeared first on Analytics Vidhya.

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

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. The post What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code appeared first on Analytics Vidhya.

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. As the trend of doing everything over a mobile device grows, including tasks such as shopping […].

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. Organizations of all kinds have relied on IBM SPSS Statistics for decades to help solve a wide range of business and research problems.

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 VIFIntroduction Multicollinearity might be a handful to pronounce but it’s a topic you should be aware of in the machine learning field. The post What is Multicollinearity? Here’s Everything You Need to Know appeared first on Analytics Vidhya.

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. The post Everything you Should Know about p-value from Scratch for Data Science appeared first on Analytics Vidhya.

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? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

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.

A Tour of Evaluation Metrics for Machine Learning

Analytics Vidhya

Beginner Classification Machine Learning Regression Statistics blogathon evaluation metricsThis article was published as a part of the Data Science Blogathon. A Tour of Evaluation Metrics for Machine Learning After we train our.

Understand Conditional Probability Solving the Monty Hall Problem!

Analytics Vidhya

Beginner Probability Statistics conditional probability Monty Hall statisticsOverview Get to know what the Monty Hall Problem is. Understand conditional probability with the use of Monty Hall Problem. Introduction I was.

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.

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. The Internet and subscription-service businesses have changed how we access everything from news to shopping to music. So, is it any wonder that software has followed suit?

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? The official definition is “a result that is unlikely to have occurred given a null hypothesis,” and it’s typically found alongside riveting descriptions of “parametric tests” in such page-turning classics as the 1925 Statistical Methods for Research Workers. What is a statistical significance test?

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.

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. This will allow our users time to adjust to this dynamic and unprecedented situation. To sign up for a free trial, click here: [link

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.

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. Introduction Statistics for Google Sheets is an add-on for Google Sheets that brings elementary statistical analysis tools to spreadsheet users. hope to replace R, SAS, or similar packages designed by and for statistics experts. Get add-ons and search for the app named Statistics.

A Primer on Getting Started with Data Science for Beginners

Analytics Vidhya

Beginner Career Education Job Roles Learning Path Maths Statistics blogathonThis article was published as a part of the Data Science Blogathon. Introduction “Data Scientist: the sexiest job of the 21st Century” “Data Science.

Big Data to Small Data – Welcome to the World of Reservoir Sampling

Analytics Vidhya

Beginner Maths Statistics Big data blogathon reservoir sampling Sampling statisticsThis article was published as a part of the Data Science Blogathon. Introduction Big Data refers to a combination of structured and unstructured data. The post Big Data to Small Data – Welcome to the World of Reservoir Sampling appeared first on Analytics Vidhya.