Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

MAY 2, 2023

By acquiring expertise in statistical techniques, machine learning professionals can develop more advanced and sophisticated algorithms, which can lead to better outcomes in data analysis and prediction. Data modeling involves identifying underlying data structures, identifying patterns, and filling in gaps where data is nonexistent.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

AUGUST 28, 2023

Key Features of Power BI: Power BI is a powerful business intelligence tool developed by Microsoft that enables users to visualize and analyze data from various sources. It offers a wide range of features that make it a popular choice for data professionals, analysts, and organizations.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Data Science Dojo

FEBRUARY 23, 2024

A wide range of applications deals with a variety of tasks, ranging from writing, E-learning, and SEO to medical advice, marketing, data analysis, and so much more. The available models are categorized based on the type of tasks they can support, making it easier for users to explore the GPTs of their interest.

Data Science 363

Data Science Data Analysis Data Analysis ML 363

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Smart Data Collective

NOVEMBER 18, 2020

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. It hosts a data analysis competition.

Data Mining 143

Data Mining Data Mining Data Mining Data Science 143

Pickl AI

MAY 7, 2024

Summary: Struggling to translate data into clear stories? This data visualization tool empowers Data Analysts with drag-and-drop simplicity, interactive dashboards, and a wide range of visualizations. Tableau can help!

Data Analyst 52

Data Analyst Tableau Data Science Power BI 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 85

Data Science Analytics Analytics Data Scientist 85

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 105

Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

Pickl AI

JANUARY 30, 2023

Data Modeling : Using libraries like scikit-learn and Tensorflow, one can build and evaluate predictive models. Data Communication : Communicate insights and results to stakeholders through reports, dashboards, and visualizations using libraries such as Matplotlib, Seaborn, and Plotly. Python helps in this process.

Python 97

Python Machine Learning Machine Learning Data Science 97

Data Science Dojo

FEBRUARY 23, 2024

A wide range of applications deals with a variety of tasks, ranging from writing, E-learning, and SEO to medical advice, marketing, data analysis, and so much more. The available models are categorized based on the type of tasks they can support, making it easier for users to explore the GPTs of their interest.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Data Science Dojo

FEBRUARY 23, 2024

Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization. You can upload your data files to this GPT that it can then analyze. Other than the advanced data analysis, it can also deal with image conversions.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Mlearning.ai

FEBRUARY 13, 2023

These databases are optimized for handling time-stamped data and are ideal for use cases like IoT and financial data analysis. Multi-Model Databases Multi-Model databases are like a versatile toolbox, capable of adapting to various challenges and serving multiple purposes. Influxdb and Timescale db 8.

Database 52

Database Data Modeling Data Models SQL 52

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 60

Machine Learning Machine Learning Data Science Big Data 60

ODSC - Open Data Science

APRIL 6, 2023

Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling. You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. Let’s briefly dive into each bit.

SQL 98

SQL Data Scientist Database Data Analysis 98

Cambridge Intelligence

FEBRUARY 20, 2024

FREE: Managing fraud The ultimate guide to fraud detection, investigation and prevention using data visualization GET YOUR FREE GUIDE The role of new & existing technology For many years, credit card companies have relied on analytics, algorithms and decision trees to power their fraud strategy.

AI 59

AI AI Machine Learning Machine Learning 59

Pickl AI

JUNE 12, 2023

Tableau is an interactive platform that enables users to analyse and visualise data to gain insights. How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

JULY 23, 2023

This step is crucial for eliminating inconsistencies and ensuring data integrity. Data Analysis Data analysis is the heart of deriving insights from the gathered information. Data Visualization Data visualization transforms complex data sets into intuitive and visually appealing representations.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Alation

FEBRUARY 20, 2020

Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. Organizationally the innovation of self-service analytics, pioneered by Tableau and Qlik, fundamentally transformed the user model for data analysis.

Data Lakes 52

Data Lakes Hadoop Tableau Big Data 52

Mlearning.ai

APRIL 29, 2023

Transaction Data Analysis—Case Study #4 by Data with Danny As a huge FinTech enthusiast, I found myself totally drawn to this project. Available Data The Data Bank team has prepared a data model for this case study as well as a few example rows from the complete dataset below to get you familiar with their tables.

SQL 52

SQL Power BI Cloud Data Data Analysis 52

phData

SEPTEMBER 1, 2023

This integration ability is particularly important because it allows companies to avoid the costly and time-consuming process of replacing everything in their current data lifecycle. By combining data from disparate systems, HCLS companies can perform better data analysis and make more informed decisions.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. A Data Product can take various forms, depending on the domain’s requirements and the data it manages.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Relationships in Tableau 2020.2 (May Beginning in Tableau 2020.2,

Tableau 144

Tableau ML ML Database 144

Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Relationships in Tableau 2020.2 (May Beginning in Tableau 2020.2,

Tableau 98

Tableau ML ML Database 98