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

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Smart Data Collective

SEPTEMBER 19, 2022

Big data has led to many important breakthroughs in the Fintech sector. Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. billion on financial analytics by 2030. And Big Data is one such excellent opportunity ! Improving Risk Assessment.

Big Data 129

Big Data ROI Measurement Risk 129

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 92

Data Science Statistics Data-driven Machine Learning 92

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. What exactly is Big Data, but why is it so important?

Data Analytics 136

Data Analytics Analytics Big Data Key Performance Indicator 136

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

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 143

Data mining Data Science Informatics Statistics 143

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 60

Machine Learning Data Science Statistics Deep Learning 60

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. More gaming companies are turning to big data experts than ever.

Machine Learning 117

Machine Learning Data Science Internet of Things Big Data 117

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

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Genetic Engineer. Programmer.

Big Data 128

Big Data Advertising Internet of Things Marketing 128

CIO Business Intelligence

MARCH 21, 2022

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. Learn from data scientists about their responsibilities and find out how to launch a data science career. |

Unstructured Data 134

Unstructured Data Data Analytics Analytics Structured Data 134

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

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 112

Marketing Data Analytics Key Performance Indicator Analytics 112

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. Data science.

Marketing 120

Marketing Optimization Data Analytics Analytics 120

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 122

Data Science Statistics Software Management 122

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. If your data nerd leads a team of data nerds, big data projects, or aspires to one day, “Data Teams” is the book for them. ?? ???????. How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Analytics Vidhya

JANUARY 17, 2023

Introduction Data analytics is a field filled with promise. Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology.

Advertising 252

Advertising Insurance Big Data Data Analytics 252

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. They’re looking to hire experienced data analysts, data scientists and data engineers.

Big Data 75

Big Data Software Data mining Prescriptive Analytics 75

Smart Data Collective

APRIL 11, 2019

Big data is playing a monumental role in economic development in 2019. It is being used in every industry from healthcare delivery to insurance modeling to political science. According to economic analysts, the market size for big data is currently estimated to be $203 billion. Here are some of the reasons.

Big Data 76

Big Data Insurance Statistics Technology 76

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 247

Analytics Statistics Machine Learning Business Intelligence 247

Smart Data Collective

DECEMBER 21, 2022

Big data technology has become critical for modern life. A growing number of data scientists are being employed in various industries to help solve many challenges. The IT and cybersecurity sectors are heavily dependent on people with an expertise in data science. Ethical Hacker. Computer Support Specialist.

IT 112

IT Big Data Data Science Data-driven 112

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

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

CIO Business Intelligence

AUGUST 9, 2022

These generalists are often responsible for every step of the data process, from managing data to analyzing it. Dataquest says this is a good role for anyone looking to transition from data science to data engineering, as smaller businesses often don’t need to engineer for scale. Data engineer vs. data architect.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

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

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

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. 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. Data Science: Harnessing the Power of Big Data.

Analytics 129

Analytics Data-driven Advertising Data Science 129

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. That list has become a bit stale. So, I have updated the list, adding some new opportunities, keeping many of the previous ones, and removing the obsolete ones.

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

Smart Data Collective

JUNE 14, 2022

Data scientists need to have a number of different skills. In addition to understanding the logistics of networking and a detailed knowledge of statistics, they must possess solid programming skills. When you are developing big data applications, you need to know how to create code effectively. Failing to Back Up Code.

Data mining 93

Data mining Big Data Data Science Statistics 93

Smart Data Collective

JULY 16, 2021

Organizations can use security analytics for a range of reasons that include detecting insider vulnerabilities, data exfiltration, user behavior, and potentially compromised accounts. Big Data & Security Analytics. The data within a company can be compiled across a range of assets. Conclusion.

Analytics 131

Analytics Big Data Machine Learning Statistics 131

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. A background in (or a firm grasp of) data warehousing and mining. BI engineer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings. We will also cover some of the changes brought on by data analytics.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

Smart Data Collective

FEBRUARY 7, 2023

Big data technology is obviously heavily dependent on computer hardware. Computer users can take advantage of data-driven tools to improve the performance of their devices. Macs can be great tools for data science. However, the relationship goes both ways.

Data-driven 87

Data-driven Optimization Big Data Data Analytics 87

Domino Data Lab

OCTOBER 7, 2020

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Data Has Properties. P >> N) ).

Statistics 145

Statistics Testing Predictive Modeling Modeling 145