Data Science Dojo

JULY 12, 2023

Ability to perform complex queries using SQL: SQL is a powerful language that allows you to perform complex queries on your data. This can be useful for tasks such as reporting, analytics, and data mining.

SQL 195

SQL Database Big Data Big Data 195

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.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Smart Data Collective

AUGUST 30, 2022

Big data analytics. The amount of data in today’s world is growing exponentially, and cloud computing provides excellent tools that analyze large volumes of information and carry out marketing segmentation. The system eliminates the requirement to purchase expensive backup systems and other equipment.

Cloud Computing 140

Cloud Computing Big Data Analytics Big Data Analytics Data Mining 140

Smart Data Collective

JANUARY 15, 2021

By collecting and analyzing data from different channels, educational institutions can get more tangible results. Big data technology in education primarily concerns data mining, analytics, and web dashboards. The use of big data improves teaching and helps to identify opportunities.

Big Data 109

Big Data Big Data Big Data Analytics Big Data Analytics 109

Pickl AI

OCTOBER 29, 2024

Approach By leveraging big Data Analytics, these platforms began analysing student interactions, feedback, and performance metrics. Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract insights from structured and unstructured data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies. Dynamic Pricing.

Analytics 145

Analytics Analytics Data Mining Data Mining 145

Smart Data Collective

MARCH 24, 2020

Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. However, companies need to use big data wisely.

Big Data 142

Big Data Big Data Big Data Analytics Big Data Analytics 142

Smart Data Collective

SEPTEMBER 13, 2020

Search engines use data mining tools to find links from other sites. They use a sophisticated data-driven algorithm to assess the quality of these sites based on the volume and quantity of inbound links. How Can Big Data Assist With LinkBuilding? Big data is critical for linkbuilding in 2020.

Analytics 121

Analytics Analytics Big Data Big Data 121

Smart Data Collective

AUGUST 23, 2020

Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. You need to use it accordingly.

Big Data 119

Big Data Big Data Big Data Analytics Big Data Analytics 119

Dataconomy

JULY 4, 2023

In hyper automation, Big Data provides the foundation for extracting actionable insights and identifying patterns that drive optimization and innovation. By leveraging data analytics and data mining techniques, organizations can uncover valuable information, make informed decisions, and create optimized solutions.

Natural Language Processing 192

Natural Language Processing Big Data Big Data Machine Learning 192

Smart Data Collective

MAY 7, 2019

Forrester gave them an award for their big data and NoSQL contributions this year. They use big data to deliver great results for their Google Review customers. A paper on big data analytics by T. Helwage discusses the applications of big data at Google , Amazon and other Silicon Valley leaders.

Big Data 107

Big Data Big Data Big Data Analytics Big Data Analytics 107

Smart Data Collective

MARCH 28, 2022

Diagnostic data analytics: It analyses the data from the past to identify the cause of an event by using techniques like data mining, data discovery, and drill down. Descriptive data analytics: It is the foundation of reporting, addressing questions like “how many”, “where”, “when”, and “what”.

Analytics 105

Analytics Analytics Big Data Big Data 105

Smart Data Collective

MARCH 30, 2022

They can use data on online user engagement to optimize their business models. They are able to utilize Hadoop-based data mining tools to improve their market research capabilities and develop better products. Companies that use big data analytics can increase their profitability by 8% on average.

Analytics 128

Analytics Analytics Big Data Big Data 128

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 18, 2023

Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount. SAS allows users to merge, join, and manipulate data easily, ensuring data quality and consistency. Advanced Analytics: SAS offers a comprehensive set of advanced analytics capabilities.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

SEPTEMBER 11, 2024

Curriculum Content A comprehensive curriculum is the cornerstone of any quality Data Science Master’s program. It should cover many essential topics, including Statistics, Machine Learning, Data Mining , Big Data Analytics, and visualisation.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52