CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. On-site courses are available in Munich. Remote courses are also available. WeCloudData.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

FineReport

MARCH 24, 2024

They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting. 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

FineReport

DECEMBER 19, 2019

Excel, Python, Power BI, Tableau, FineReport are frequently used by data analysts. I know novices are very concerned about the learning process of data analysis. You may be full of doubts and yearnings for SQL, Python, R, etc. There are so many things to learn, which one should I learn? From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Machine Learning. Machine Learning. Let’s take a look at the skillsets developers need to have.

Big Data 75

Big Data Software Data mining Prescriptive Analytics 75

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Introduction. doc = nlp(text)??

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. This post provides distilled highlights, a transcript, and a video of the session. Session Summary.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Ontotext

JANUARY 21, 2021

spreadsheets, relational databases, XML documents) that describe the business of finance. There is an old shaggy dog story that features a chicken that is repeatedly sold over the course of a day, with each purchaser paying a higher price. In this way, FIBO can give meaning to any data (e.g., This is a nontrivial task.

Modeling 72

Modeling Finance Technology Insurance 72