Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

IBM Journey to AI blog

JULY 24, 2023

An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to meet customer needs. It aims to understand what’s happening within a system by studying external data.

Analytics 69

Analytics Analytics Predictive Analytics Big Data 69

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

SEPTEMBER 23, 2024

Applications of Data Science Data Science is not confined to one sector; its applications span multiple industries, transforming organisations’ operations. From healthcare to marketing, Data Science drives innovation by providing critical insights.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

SEPTEMBER 11, 2024

Specialised Knowledge One key advantage of pursuing a master’s degree in Data Science is the ability to acquire specialised knowledge. Unlike a bachelor’s program, which provides a broad overview, a master’s program delves deep into specific areas such as predictive analytics, natural language processing, or Artificial Intelligence.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52