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Descriptive vs Inferential Statistics: What’s the Difference?

Analytics Vidhya

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.

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Learning Time Series Analysis & Modern Statistical Models

Analytics Vidhya

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.

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Statistical Effect Size and Python Implementation

Analytics Vidhya

Introduction One of the most important applications of Statistics is looking into how two or more variables relate. The post Statistical Effect Size and Python Implementation appeared first on Analytics Vidhya. Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value.

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Statistical Inference Using Python

Analytics Vidhya

Applying statistical analysis to data and getting insights from it is our main objective. The post Statistical Inference Using Python appeared first on Analytics Vidhya. Data science is an emerging technology in the corporate society and it mainly deals with the data. A company wil store millions of records for analysis. A […].

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Run a Business, Not a Backlog

Speaker: John Mecke, Managing Director of DevelopmentCorporate, Jon Gatrell, Principal Partner at Market Driven Business

The ability to express complex concepts in numerical, financial, or statistical terms is critical, but it is often an overlooked discipline. In today’s Agile world, product managers are expected to be leaders in market knowledge, strategy, organizational enablement, etc. Numerical literacy is a key skill for effective product managers.

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Hypothesis Testing in Inferential Statistics

Analytics Vidhya

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.

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Top 40 Data Science Statistics Interview Questions

Analytics Vidhya

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 […].

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Quantifying a Culture of Innovation

Examining five years of anonymous data from over 6 million users in 170+ countries, Spigit has discovered that a culture of innovation can be measured – with a 99% statistical confidence level – by a metric called "ideation rate." Download the eBook now for an in-depth look at this groundbreaking study.

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Upgrading Data Security in a Crisis

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

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. In this webinar, you will learn: The future of data security.

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Put Your Data to Work: The Complete Playbook

This playbook contains: Exclusive statistics, research, and insights into how the pandemic has affected businesses over the last 18 months. We’ve created this interactive playbook to help you use your data to provide actionable insights that will lead to better business decisions and customer outcomes.