IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

SEPTEMBER 24, 2024

Read More: Use of AI and Big Data Analytics to Manage Pandemics Overview of Uber’s Data Analytics Strategy Uber’s Data Analytics strategy is multifaceted, focusing on real-time data collection, predictive analytics, and Machine Learning.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 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

JANUARY 28, 2025

Data Analysis At this stage, organizations use various analytical techniques to derive insights from the stored data: Descriptive Analytics: Provides insights into past performance by summarizing historical data. Prescriptive Analytics : Offers recommendations for actions based on predictive models.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

ODSC - Open Data Science

JANUARY 7, 2025

Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Knowing all three frameworks covers the most ground for aspiring data science professionals, so you cover plenty of ground knowing thisgroup. Kafka remains the go-to for real-time analytics and streaming.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Mlearning.ai

AUGUST 18, 2023

Using tools for processing and analyzing genetic data, scientists can create and test new drugs and shine more light on how our genes determine our health. Predicting Diseases Predictive analytics utilizes data science in healthcare to forecast the patient’s health condition.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52