Remove Data Science Remove Data Scientist Remove Hypothesis Testing
article thumbnail

A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists

Analytics Vidhya

Overview A/B testing is a popular way to test your products and is gaining steam in the data science field Here, we’ll understand what. The post A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists appeared first on Analytics Vidhya.

article thumbnail

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

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. 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! appeared first on Analytics Vidhya.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

9 important plots in data science

Data Science Dojo

Plots in data science play a pivotal role in unraveling complex insights from data. Learn about 33 tools to visualize data with this blog In this blog post, we will delve into some of the most important plots and concepts that are indispensable for any data scientist.

article thumbnail

P-values Explained By Data Scientist

KDnuggets

This article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.

article thumbnail

Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

In contemporary times, data science has emerged as a substantial and progressively expanding domain that has an impact on virtually every sphere of human ingenuity: be it commerce, technology, healthcare, education, governance, and beyond. This piece will concentrate on the elemental constituents constituting data science.

article thumbnail

Cracking the code: The top 10 statistical concepts for data wizards 

Data Science Dojo

“Statistics is the grammar of science”, Karl Pearson In the world of data science, there is a secret language that benefits those who understand it. Do you want to know what makes a data expert efficient? It’s having a profound understanding of the data. This is where inferential statistics comes in handy.

article thumbnail

Journeying into the realms of ML engineers and data scientists

Dataconomy

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.