Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly.

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Data Analyst SQL Data Scientist Data Analysis 77

Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. R is also popular among statisticians and data analysts, with libraries for data manipulation and machine learning.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Machine Learning 221

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

Smart Data Collective

DECEMBER 19, 2021

Therefore, if you don’t preprocess the data before applying it in the machine learning or AI algorithms, you are most likely to get wrong, delayed, or no results at all. Hence, data preprocessing is essential and required. Python as a Data Processing Technology. Why Choosing Python Over Other Technologies in FinTech?

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Python Machine Learning Machine Learning Algorithm 135

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

OCTOBER 17, 2023

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. It facilitates exploratory Data Analysis and provides quick insights.

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Data Scientist Machine Learning Machine Learning Data Analysis 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.

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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

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

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.

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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.

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Data Science Data Analysis Data Analysis ML 363

Smart Data Collective

NOVEMBER 24, 2021

Why legacy approaches to data analysis no longer work. To begin with, we should understand why exactly the legacy data analytics approaches may be considered ineffective. Based on this assumption, specialists relied on false predictive data models that could only reflect a simplified picture of the possible future.

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Analytics Analytics Business Intelligence Business Intelligence 128

Dataversity

FEBRUARY 3, 2022

Data Science is a diverse field with an array of career and job options out there to pursue. The modern economy is dependent on data and data analysis so, naturally, data scientists are in high demand and enjoy good salary and job security prospects.

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Data Scientist Data Analysis Data Analysis Data Science 52

Smart Data Collective

SEPTEMBER 4, 2020

This will then give you a good grounding in a variety of business topics that you can apply to your own business, allowing you to see patterns and understand the data that you collect. Download the Right Data Analysis Software.

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Big Data Big Data Analytics Analytics 87

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

A list of best data science GPTs in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular data science GPTs for you to explore. Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization.

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Data Science Data Analysis Data Analysis Data Analyst 195

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 59

Machine Learning Machine Learning Data Science Big Data 59

DrivenData Labs

MARCH 26, 2024

Her interests lie in using technology and data analysis to understand and model dynamic natural processes and climate change. She is currently working on a project called visualizingEnergy, where the goal is to present data stories to inform and guide an equitable energy transition.

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Power BI Data Scientist Python Machine Learning 264

Alation

FEBRUARY 13, 2020

From modest beginnings as a means to manage data inventory and expose data sets to analysts, the data catalog has grown in functionality, popularity, and importance. Modern data catalogs—originated to help data analysts find and evaluate data—continue to meet the needs of analysts, but they have expanded their reach.

Data Lakes 52

Data Lakes Data Governance Data Science Data Analyst 52

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

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SQL Data Scientist Database Data Analysis 98

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.

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Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

JULY 23, 2023

Data Processing Data processing involves cleaning, transforming, and organizing the collected data to prepare it for analysis. 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.

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Analytics Analytics Predictive Analytics Data Analysis 52

phData

JULY 14, 2023

It serves as a comprehensive solution for connecting to diverse data sources and creating compelling visualizations. Data Analysis Expressions (DAX) is the formula expression language employed in Power BI. With DAX, you can construct intricate calculations and queries on data residing in the Power BI data model.

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Power BI Data Analyst Business Intelligence Business Intelligence 52

DataRobot

FEBRUARY 22, 2021

The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists. In terms of data analysis, I scraped huge datasets and applied NLP, feature engineering, and ML algorithms using Python.”.

Data Science 52

Data Science Citizen Data Scientist Data Scientist Data Analyst 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.

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