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15 Basic Statistics Concepts Every Data Science Beginner Should Know

Analytics Vidhya

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.

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9 Best Statistics Books for Data Science in 2024

Analytics Vidhya

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.

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Various Uses of Python Statistics Module & Its Functions

Analytics Vidhya

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.

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The Beginner’s Guide to Statistical Analysis | 5 Steps & Examples

Analytics Vidhya

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.

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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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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 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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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.