Data Science Dojo

FEBRUARY 23, 2024

It is capable of understanding complex relationships in data and creating visual outputs in the form of flowcharts, charts, and sequences. It aims to provide a clear and concise representation of data. Power BI Wizard It is a popular business intelligence tool that empowers you to explore data.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. The presentation is currently limited to the current situation on the labor market. Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Alation

MARCH 29, 2022

Business intelligence has a long history. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. With remote and hybrid work on the rise, the ability to locate and leverage data and expertise — wherever it resides — is more critical than ever.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

Data Science Dojo

FEBRUARY 23, 2024

It is capable of understanding complex relationships in data and creating visual outputs in the form of flowcharts, charts, and sequences. It aims to provide a clear and concise representation of data. Power BI Wizard It is a popular business intelligence tool that empowers you to explore data.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

Smart Data Collective

MAY 20, 2019

These regulations have a monumental impact on data processing and handling , consumer profiling and data security. Businesses are under intense pressure not only to comply with the requirements established but also to understand the impact on current and future operations. Basic Business Intelligence Experience is a Must.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science AI AI SQL 195

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Those who work in the field of data science are known as data scientists.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JUNE 12, 2023

With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

ODSC - Open Data Science

FEBRUARY 19, 2024

Microsoft Power BI Microsoft Power BI is almost synonymous with comprehensive business intelligence capabilities. Like our other platform, it allows users to connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Better Data Culture. Business analysts. Data scientists.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. Skillset Required Data Scientists need strong programming skills.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Mlearning.ai

MAY 3, 2023

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. Students and Teachers.

Python 52

Python Natural Language Processing Data Scientist Citizen Data Scientist 52

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Building Your Data Science Team Data science talent is in high demand.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

JULY 10, 2024

Focus on Data Science tools and business intelligence. Focus on exploratory Data Analysis and feature engineering. Ideal starting point for aspiring Data Scientists. AI and Machine Learning courses provide essential skills in Data Analysis, predictive modelling, and AI applications.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

APRIL 26, 2024

A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics. Industry-specific Tools and Technologies Questions Are you familiar with any data visualisation tools?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

MARCH 19, 2025

Data Science focuses on analysing data to find patterns and make predictions. Data engineering, on the other hand, builds the foundation that makes this analysis possible. Without well-structured data, Data Scientists cannot perform their work efficiently.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52