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Tag: Data Analysis

Learn Data Science and Business Analytics
The objective of the bi-variate analysis is to understand the relationship between each pair of variables using statistics and visualizations. We need to analyze the relationship between the target variable and each predictor variable two predictor variables.
How To Successfully Use Data For Your Email Marketing
Analyzing data gathered across multiple channels provides marketers with valuable insights into audience preferences and behavior. This can lead to more focused, effective campaigns, which is why US marketers have invested around $5 billion into data management in the past couple of years. And email remains a crucial marketing channel, …
New Course: Data Analysis in Business
Learn how to navigate the business environment as a data professional, including how to communicate your analysis results to a non-technical audience. The post New Course: Data Analysis in Business appeared first on Dataquest.
Does your location affect your income? — Stack Overflow developer survey 2019 analysis
Stack Overflow is an online community for developers to learn and share knowledge. This community has been growing tremendously in the recent past. And, every year, Stack Overflow conducts a...
Beginner's guide: How to Become a Data Analyst
Over 2.5 quintillion (1018) bytes of data are generated every day. Given the massive amount of data, the need for data analysis has never been clearer. It brings impetus to data analysts. Indeed.com…
Creating Dashboard to Visualise Data In Python
List of the various dashboard libraries to allow the creation of a website dashboard in Python.
How Data Analytics Help Students
Data Analytics, on the first hand, is one of the best things to happen for the aspirants and to the education world. Today, in the modern world, data analytics coupled with data science courses is on the top of the student's minds.
How Much Have You Spent on Amazon? Analyzing Amazon Data
How much have I spent on Amazon? That's a scary question, but if you want to know the answer, here's how you can find it...and a lot more! The post How Much Have You Spent on Amazon? Analyzing Amazon Data appeared first on Dataquest.
Why and How I use generators in python
Photo by David Carboni (https://unsplash.com/photos/xvkSnspiETA) on Unsplash (https://unsplash.com) Generators are very powerful feature in python and help you write better and organized code. WHY...
Why Jorge Prefers Dataquest Over DataCamp for Learning Data Analysis
When Jorge Varade decided he wanted to learn data analysis, he tried both DataCamp and Dataquest, and found he strongly preferred the latter. Here's why. The post Why Jorge Prefers Dataquest Over DataCamp for Learning Data Analysis appeared first on Dataquest.
Who is a Next-Gen Data Scientist?
A next-gen data scientist (www.thedsa.in) is a multi-disciplinary person who uses math, programming/technology, domain expertise to solve business problems using the available data. The demand for...
Learning R | Part 2 | Variables & Functions
Variables & Functions in R
Learning R | Part 1 | Basics of R & RStudio
Why R? Understanding RStudio
How to Become a Data Scientist?
Data science is all about clarifying goals, examining assumptions, evaluating evidence and assessing conclusions
Artificial Intelligence VS Machine Learning VS Data Science
This article states the basic difference between Difference between Artificial Intelligence (AI), Machine Learning (ML) and Data Science.
Top Trends for Data Science in 2019
Everywhere you look, we have new fads and concepts for the new year. This article is going to be rather different.Its all about the new trends in Data Science.
Analyzing Robinhood trade history
A Python script to get a look at your trading history from trading options and individual equities on Robinhood: calculate profit/loss, sum dividend payouts and generate buy-and-hold comparison.
How Big Data Is Helping To Lower Medical Liability Risks
Practice economics are impacted by medical liability risks. Patient quality and efficiency is key to the healthcare industry’s success, but a lack of proper staffing has led to a fast-paced environment where medical liability remains a concern. Data collection is being utilized as a means to help lower these risks, …