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Data Science Tutorials & Resources for Beginners

<i>If you want to know more about Data Science but don't know where to start this list is for you!</i><p>📈<p>No previous knowledge required but Python and …

Data Science

Comprehensive Data Science, Machine Learning Interview Guide

We use cookies on Analytics Vidhya websites to deliver our services, analyze web traffic, and improve your experience on the site. By using Analytics …

Machine Learning

Buried in Data? Prescriptive Analytics Helps Fashion Retailers Sift Through the Numbers

Guy Yehiav, chief executive officer of Profitect, explains.<p>In today’s consumer-centric retail and fashion market, data is king. And retailers and …

Machine Learning

Trustworthy Data Analysis

The success of a data analysis depends critically on the audience. But why? A lot has to do with whether the audience <i>trusts</i> the analysis as well as …

Data Science

Getting Data Science Right: How To Structure Data Science Teams For Maximum Results

Data scientists have become the darlings of today’s competitive job market. Entry-level salaries can range into six figures, and roughly 700,000 job openings are projected by 2020. There’s good reason for this spike in demand, too. The job of data scientists is to extract insights which are hidden …

Data Science

'Sexiest job' ignites talent wars as demand for data geeks soars

Murray Webb had been a lackluster student more interested in sports than schoolwork while attending a small Virginia college. Then he transferred to Kennesaw State University in suburban Atlanta to pursue a master's degree in applied statistics and landed four job offers upon graduation. Webb, 33, …

How to Master Business Intelligence Reporting in Record Time

When businesses make strategic investments in new technology solutions, there are typically some pretty high expectations that accompany that …

Organizations waste billions of dollars preparing data

Clean data is vital if analytics are to deliver useful results, but a new survey reveals that many organizations are still relying on manual and …

In Age Of Big Data, Banks Face Tricky New Challenges

The current generation of bank CEOs are used to being called in front of congressional and parliamentary committees to explain themselves, so they can empathize with the recent spate of congressional testimonies from technology companies. Unfortunately, Accenture’s Banking Technology Vision 2018 …

Data Glossary: Know the terms. #BigData

50 #BigData terms scraped for that interwebby thingy.<p><b>Apache Software Foundation (ASF)</b> provides many of Big Data open source projects and currently …

How Data Is Changing The Role Of Marketers

Data, in combination with technology, drives much of the revolution happening in business today. For marketers who are often at the epicenter of acquiring, understanding, translating, and leveraging data, it can have a significant impact on their jobs—what they do, how they do it, and the …

Marketing

15 Types of Regression you should know

(This article was first published on <b> ListenData</b>, and kindly contributed to R-bloggers)Regression techniques are one of the most popular statistical …

9 pitfalls to avoid in building a successful machine learning program

During my past two decades working in the IT field, I’ve seen artificial intelligence technologies move from conceptual to practical — with machine learning techniques at the forefront, becoming more accessible, even for teams without specialized expertise.<p>With increased use of predictive modeling …

States Offer Information Resources: 50+ Open Data Portals

The United States federal open data portal, data.gov, launched in May, 2009, with just 47 datasets. It was not an instant hit.<p>Today, with more 200,000 datasets, it’s a lot more popular. Still, real-life demands for information about our governments, people and economy exceed the supply of available …

To solve the Facebook problem, think big (data)

When Congress grilled Mark ZuckerbergMark Elliot ZuckerbergHillicon Valley: Trump stuns lawmakers with push to help Chinese company | Facebook …

Amazon Finally Found a Way to Prevent Your Packages from Disappearing off Your Porch

Amazon rolls out a new delivery service to reduce package theft.<p>Ever had a package go missing from your front porch? Now Amazon thinks they might have a solution to circumvent package thieves.<p>Amazon has tried a few solutions to tackle package theft. Amazon Locker offers over 2,000 secure …

Deep Learning: The interest is more than latent

A recent survey of O'Reilly newsletter subscribers reveals that interest in deep learning is more than academic. But the skills shortages remain very …

3 Rules I Use to Stay Productive and Not Overwhelmed

I get 1,000 emails a week, but I only work 40 hours. Here's how I do it.<p>Opinions expressed by <i>Entrepreneur</i> contributors are their own.<p>To say my life is busy is an understatement.<p>I'm a father of three kids under the age of three. I have a portfolio of 40-plus startups I've invested in and actively …

How to Tell If Your Data Is Bad (and How to Fix It)

The hype around big data is that it can (and will) transform nearly every aspect of how we make business decisions. It can help us learn more about …

HBR Guide to Data Analytics Basics for Managers

Publication Date: <b>April 03, 2018</b><p>Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform …

4 Things Every Leader Should Know Before Starting A Big Data Project

As many as 85% of big data projects fail<p>We were told that "data is the new oil." The Internet of Things combined with the ability to store massive amounts of data and powerful new analytical techniques like machine learning would help derive important new insights, automate processes and transform …

How Valuable Is Your Company's Data?

Organizations consider data one of their most valuable assets, but exactly, how much is that data worth? Most business leaders can't answer the …

Essential skills and traits of elite data scientists

Data scientists continue to be in high demand, with companies in virtually every industry looking to get the most value from their burgeoning …

Writing a Resume for a Data Science Career

Source: PexelsSo, you’ve decided to move onto the next stage of your data science career, whether you’re just starting out or believe you’re ready to …

How Data Science Teams Can Win By Behaving Like Lean Startups | Articles | Big Data

<i>There are many ways in which data science teams are like startups. By adopting a lean startup methodology, corporate data teams can navigate internal</i> …

Top 10 Challenges to Practicing Data Science at Work

<i>A recent survey of over 16,000 data professionals showed that</i> <i>the most common challenges to data science included dirty data (36%), lack of data</i> …

Reshaping Skillsets in the Age of Analytics

Automation and greater involvement by business managers with the analytics team are just a couple of the changes that are in store for data …

From Measurement to Insight: Put DevOps Metrics to Work

When you can measure the results of your DevOps program, that's where the magic happens.<p>Working in the software delivery industry today is not for …

Big Data DevOps (Part 2): Schemas!

Since we can process records in Apache NiFi, Streaming Analytics Manager, Apache Kafka, and any tool that can work with a schema, we have a real need …

How to Use Data Science to Get Ahead in Business

Big data for business offers an evolution of management and marketing tools as a reflection of technological advancements. It is also a consequence …