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Data science books - theory and practice

Here are some of my recommended data science books for both theory and practice.

Data Science

Ten red flags signaling your analytics program will fail

Struggling to become analytics-driven? One or more of these issues is likely what’s holding your organization back.<p><b>How confident are you</b> that your …

Big Data

19 Data Science Tools for people who aren't so good at programming

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

Life-cycle of a Data Science Project

Are you wondering how would the life-cycle of a data science project be? Here you go.. Problem Identification: Have you ever heard the phrase “Here’s …

The 10 Mining Techniques Data Scientists Need For Their Own Toolbox

At their core, data scientists have a math and statistics background. Out of this math background, they’re creating advanced analytics. On the …

Data Science vs Machine Learning vs Data Analytics vs Business Analytics

This article gives a broad overview of data science and the various fields within it, including business analytics, data analytics, business …

Bad Data: An Enterprise-level Threat

Being able to trust an autonomous system goes beyond ensuring that data is accurate; it also calls for understanding the origins of that data.

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 …

Making Better Use of Health Care Data

At Sanford Health, a $4.5 billion rural integrated health care system, we deliver care to over 2.5 million people in 300 communities across 250,000 square miles. In the process, we collect and store vast quantities of patient data — everything from admission, diagnostic, treatment and discharge …

Health Care

Forget Data Scientists And Hire A Data Translator Instead?

You can invest in data technologies and collect all the data you can possibly imagine, but it’s worthless if it’s not analyzed or communicated to decision-makers so that action can be taken from the insights. Some organizations attempt to communicate data findings across departments of an …

Big Data

5 Keys to Asking Better Questions of Data Scientists

Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or …

These Are The 5 Microsoft Skills Data Analysts Need To Know

Microsoft programs are so commonplace in most business environments that sometimes being incredibly proficient in their use can be overlooked. …

Big Data And AI: 30 Amazing (And Free) Public Data Sources For 2018

Machine learning, artificial intelligence, blockchains, predictive analytics – all amazing technologies which have promised to revolutionize business and society.<p>They are useless, however, without data. Fortunately for businesses and organizations which don’t have the resources to methodically …

Machine Learning

3 AI terms all business professionals need to understand

The value and utility of artificial intelligence is a hot topic today. In fact, a recent report by MIT Sloan Management Review asserts that almost 85 percent of executives believe AI “will allow their companies to obtain or sustain a competitive advantage.”<p>But there’s also a lot of confusion about …

Data pros waste half of their work time chasing costly data

Analytics professionals are spending more time governing, searching and preparing data than they are on extracting business value, says a new study …

Common Mistakes Executives Make With Data

Data is a human invention. Humans define the phenomenon that they want to measure, design systems to collect data about it, clean and pre-process it …

Big Companies Are Embracing Analytics, But Most Still Don’t Have a Data-Driven Culture

For six consecutive years NewVantage Partners has conducted an annual survey on how executives in large corporations view data. Each year the response rate increases, and the reported urgency of making effective use of data increases as well. This year the results are both more encouraging and more …

Data Warehousing

A beginner’s guide to investigative data journalism

This is an introductory guide on how to produce the beginnings of a piece of data journalism. We’re going to walk through it together, as I outline the key things to consider before starting. We’ll cover:<p>how to structure your work<br>• a basic process to follow<br>• a real-world case study to show how this …

Choose the Best Method for Dealing with Your Data

How to Analyze Qualitative Market Research Data<p>Determine Which Data Analysis Option Fits Your Research Purpose<p>Updated October 22, 2017<p>Once …

A Collection of 10 Data Visualizations You Must See

Introduction<p>Writing codes is fun. Creating models with them is even more intriguing. But things start getting tricky when it comes to presenting our …

So, You Want to Become a Data Visualization Expert?

With businesses producing mountains of data daily, finding ways to visualize it properly is a major factor in creating actionable insights. However, …

9 Powerful MS Excel Features That You May Not Be Aware Of

Do you use Excel often for work? These 9 tricks should help make your life a little bit easier…<p><i>The following is a guest post by</i> <i>Steven Correy</i><i>. Steven</i> …

Sentiment Analysis and Topic Detection in R using Microsoft Cognitive Services

(This article was first published on <b>Phil Ferriere's OSS Work</b>, and kindly contributed to R-bloggers)<p>In our previous post, we covered {mscsweblm4r}, a …

How to Structure a Data Science Team: Key Models and Roles to Consider

If you’ve been following the direction of expert opinion in data science and predictive analytics, you’ve likely come across the resolute …

25 Data Analytics Vendors at the Forefront in 2018

Businesses are updating their approaches to data analytics as the competitive landscape changes. We explore the trends, technologies, and vendors …

Why I'm Learning Python in 2018

We might be tempted to say that Python “had a moment” in 2017. After all, the recent growth of the language has been hard to ignore.<p>However, “having …

Python Programming

How to Collect and Transform Data into Value for Your Business

The Age of Data is here and it’s more important than ever to take data into account when managing your business. There’s more data available around …