Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? How does that work in practice?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. Analytics Becomes Major Asset to Companies Across All Sectors.

Data Analytics 136

Data Analytics Analytics Big Data Key Performance Indicator 136

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

Analytics Vidhya

JANUARY 14, 2022

This article was published as a part of the Data Science Blogathon. The post Understanding Confidence Intervals with Python appeared first on Analytics Vidhya. Confidence Intervals with python End-Note Introduction […].

Statistics 336

Statistics Data Science Publishing Analytics 336

Smart Data Collective

OCTOBER 17, 2022

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. Segmentation.

Marketing 120

Marketing Optimization Data Analytics Analytics 120

KDnuggets

MARCH 21, 2023

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

Data Science 160

Data Science Statistics Business Intelligence Data Analytics 160

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 90

Data Science Statistics Data-driven Machine Learning 90

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

datapine

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Statistics Business Intelligence Big Data 160

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist salary. Data scientist skills.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

NOVEMBER 26, 2021

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. Make Smarter Decisions and Meet Your KPI.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

David Menninger's Analyst Perspectives

MARCH 2, 2022

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words.

Analytics 215

Analytics Statistics Machine Learning Business Intelligence 215

Business Over Broadway

MARCH 8, 2021

Ways of improving gender diversity in the field of data science are offered. US Labor Force Statistics for Selected Occupations. How does gender diversity look in the data science world? That comes out to women data professionals earning roughly 84 cents to every dollar that men earn. Click image to enlarge.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

CIO Business Intelligence

JULY 28, 2022

They’ve also created a relationship with universities, setting up a pipeline of emerging technology-focused interns, who work at the company, gain experience in data science, and then can potentially be hired after they graduate. . We try to be data-driven in our decisions so we have a great need for analytics skill sets. …

Data Science 143

Data Science IT Machine Learning Data-driven 143

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

Data mining 142

Data mining Data Science Informatics Statistics 142

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

FineReport

NOVEMBER 26, 2019

When it comes to data analytics tools, we always have questions. What is the difference between so many data analysis tools? Because the reviewers who evaluate a certain data analytics tool may be from a different perspective, with some personal feelings. 1) Professional statistical analysis.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

KDnuggets

JUNE 20, 2022

The first part covers the list of Behavioral, Situational, Statistics, Python, R, SQL, Data Analytics, and Business Intelligence interview questions.

Data Science 91

Data Science Statistics Business Intelligence Data Analytics 91

Smart Data Collective

SEPTEMBER 24, 2021

While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. If you’re applying for a job in the IT or data science spaces, then you don’t want to do this.

Data Science 121

Data Science Statistics Software Management 121

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 126

Analytics Data Science Statistics Unstructured Data 126

Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. However, it is not easy to get a career in big data. This has led to a number of great opportunities for data scientists to offer their services to gaming companies.

Machine Learning 116

Machine Learning Data Science Internet of Things Big Data 116

Smart Data Collective

JULY 24, 2023

Analytics technology has been a huge gamechanger for the sports industry. billion on analytics last year. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. We will also cover some of the changes brought on by data analytics.

Analytics Technologies 78

Analytics Technologies Marketing Technology Analytics 78

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Smart Data Collective

AUGUST 10, 2021

The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data. Here’s more on why data is so important for companies and the top 5 analytics tools they’re using this year to stay ahead of the curve and their competition.

Analytics 129

Analytics Data-driven Advertising Data Science 129

Business Over Broadway

JANUARY 19, 2021

Data professionals prefer analytics tools over business intelligence tools when getting insights from their data. Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. Top Tools Used to Analyze Data.

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

Smarten

NOVEMBER 18, 2022

Choose an Augmented Analytics Solution with Natural Language Processing (NLP) Search Analytics! Research reveals that the global statistical natural language processing (NLP) market size is projected to grow to $3.7 billion USD within the next five years, an annual growth rate of 20%. It’s simple, really!

Analytics 52

Analytics Statistics Data Science Machine Learning 52

Smarten

MARCH 13, 2024

In fact, Gartner predicted that, ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ However, it is worth noting that some businesses have not had the success they expected when implementing a Citizen Data Scientist approach.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smart Data Collective

JULY 16, 2021

After reading through this post, you’ll have a better idea of how security analytics can benefit your business. Why Do You Need Security Analytics? Security analytics is a method that companies can use to keep themselves one step ahead of vulnerabilities. Several elements have contributed to the growth of security analytics.

Analytics 130

Analytics Big Data Machine Learning Statistics 130

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Business Over Broadway

JULY 29, 2020

Analysis of usage of 5 primary tools used to analyze data showed that the top tool used by data professionals to analyze data are local development environments (54%), followed by basic statistical software (20%), cloud-based data software and APIs (8%), advanced statistical software (6%) and business intelligence software (6%).

Statistics 92

Statistics Software Business Intelligence Data Science 92

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. Embedded BI / Analytics. Geospatial Data. Master Data – additional definition (contributor: Scott Taylor ). Reference Data (contributor: George Firican ). Statistics.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Rocket-Powered Data Science

APRIL 25, 2019

A few years ago, I generated a list of places to receive data science training. Learn the what, why, and how of Data Science and Machine Learning here. Learn the what, why, and how of Data Science and Machine Learning here. That list has become a bit stale. Follow Kirk Borne on Twitter @KirkDBorne.

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

DataKitchen

DECEMBER 7, 2021

Data Teams author Jesse Anderson – a data engineer, creative engineer, and managing director of the Big Data Institute – writes about running successful big data projects, resourcing teams, and how those teams should work with each other to be cost-effective.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246