Cambridge Intelligence

JANUARY 30, 2024

While it has always been a data-intensive process, enterprise fraud management today is more complex and more important than ever. This blog post explores the evolving role of enterprise fraud management, examines the impact of AI and showcases the importance of visual data analysis. What is enterprise fraud management?

Data Visualization 105

Data Visualization AI AI Analytics 105

Data Science Dojo

JUNE 10, 2024

Data scientists are using NLP to make these assistants smarter and more helpful. Enhanced Data Visualization: AI-powered data visualization tools are enabling data scientists to create interactive and dynamic visualizations that facilitate better communication of insights and findings.

Data Scientist 195

Data Scientist Natural Language Processing Machine Learning Machine Learning 195

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

Smart Data Collective

NOVEMBER 12, 2022

If you are considering a data analyst career, here are some reasons that may help solidify your decision. Unsurprisingly, those pursuing careers in data analysis are highly sought after. As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills.

Data Analyst 143

Data Analyst Data Analysis Data Analysis Data Wrangling 143

Pickl AI

MARCH 12, 2023

Accordingly, Data Analysts use various tools for Data Analysis and Excel is one of the most common. Significantly, the use of Excel in Data Analysis is beneficial in keeping records of data over time and enabling data visualization effectively. What is Data Analysis?

Data Analysis 52

Data Analysis Data Analysis Data Analyst Power BI 52

Smart Data Collective

OCTOBER 17, 2022

The final point to which the data has to be eventually transferred is a destination. The destination is decided by the use case of the data pipeline. It can be used to run analytical tools and power data visualization as well. Otherwise, it can also be moved to a storage centre like a data warehouse or lake.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Data Lakes 145

Dataconomy

MAY 17, 2024

Given your extensive background in administration and management, how do you envision specific data science tools, such as predictive analytics, machine learning, and data visualization, and methodologies like data mining and big data analysis, could enhance public administration and investment management?

Predictive Analytics 91

Predictive Analytics Data Science Data Analysis Data Analysis 91

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. The format can be classified by size, but you can choose to organize data horizontally or vertically/by column. Store and organize the data in a scalable way.

Database 130

Database Data Visualization Big Data Big Data 130

Analytics Vidhya

JANUARY 25, 2023

Introduction What’s most crucial to us? Could it be the ability to create a fortune, have good physical health, or be the focus of attention? In line with the latest World Happiness Report, it is evident that being happy has become a worldwide priority.

Analytics 323

Analytics Analytics Data Mining Data Mining 323

Analytics Vidhya

APRIL 3, 2023

Introduction Tired of sifting through mountains of analyzing data without any real insights? With its advanced natural language processing capabilities, ChatGPT can uncover hidden patterns and trends in your data that you never thought possible. ChatGPT is here to change the game.

Natural Language Processing 329

Natural Language Processing Analytics Analytics EDA 329

Analytics Vidhya

APRIL 28, 2023

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries?

Analytics 306

Analytics Analytics Data Mining Data Mining 306

Analytics Vidhya

APRIL 17, 2023

Are you a data enthusiast looking to break into the world of analytics? The field of data science and analytics is booming, with exciting career opportunities for those with the right skills and expertise. So, let’s […] The post Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

Data Analyst 306

Data Analyst Data Scientist Data Science Analytics 306

Analytics Vidhya

JUNE 26, 2023

Introduction In today’s data-driven world, the role of data scientists has become indispensable. in data science to unravel the mysteries hidden within vast data sets? But what if I told you that you don’t need a Ph.D.

Citizen Data Scientist 306

Citizen Data Scientist Data Scientist Data Science Analytics 306

Analytics Vidhya

FEBRUARY 5, 2024

Introduction With the increasing prevalence of internet usage, companies harness data’s power to drive innovation, make strategic decisions, and gain a competitive edge in the digital era. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.

Data Science 302

Data Science Analytics Analytics Data Mining 302

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. This is according to Danyel Fisher.

Analytics 145

Analytics Algorithm Analytics Data Analysis 145

Towards AI

JUNE 27, 2023

Offering features like TensorBoard for data visualization and TensorFlow Extended (TFX) for implementing production-ready ML pipelines, TensorFlow stands out as a comprehensive solution for both beginners and seasoned professionals in the realm of machine learning.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Exploratory Data Analysis.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

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 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JANUARY 15, 2025

These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management. Data Processing: Cleaning and organizing data for analysis.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

ODSC - Open Data Science

FEBRUARY 8, 2023

Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis. Conclusion Indeed BigQuery responds to all the business issues relating to the world of data (or Business Intelligence).

Database 97

Database Data Science Big Data Big Data 97

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. What is business intelligence?

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. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Data Science Blog

FEBRUARY 23, 2023

If you can analyze data with statistical knowledge or unsupervised machine learning, just extracting data without labeling would be enough. And sometimes ad hoc analysis with simple data visualization will help your decision makings. “Shut up and annotate!”

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

AUGUST 21, 2023

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Dataconomy

JULY 28, 2023

Proper data preprocessing is essential as it greatly impacts the model performance and the overall success of data analysis tasks ( Image Credit ) Data integration Data integration involves combining data from various sources and formats into a unified and consistent dataset.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

APRIL 18, 2023

With the growing use of connected devices, the volumes of data we will create will be even more. Hence, the relevance of Data Analysis increases. Here comes the role of qualified and skilled data professionals. Today the application of Data Science is not limited to just one industry. How Do I List Pickl.AI

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

APRIL 19, 2023

Usually, the companies work on different types of data like sales and revenue, customer information, market trends, operational metrics and others. This data is not beneficial until it is churned and filtered. Improved Data Analysis One of the key areas of BI implementation is the analysis of data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

JUNE 25, 2023

The latter is the practice of using statistical techniques, data mining, predictive modelling, and Machine Learning algorithms to analyze past and present data. Descriptive Analytics Descriptive analytics focuses on summarizing historical data to gain a better understanding of past events and trends.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Pickl AI

FEBRUARY 28, 2023

Significantly, Data Science experts have a strong foundation in mathematics, statistics, and computer science. Furthermore, they must be highly efficient in programming languages like Python or R and have data visualization tools and database expertise. Who is a Data Analyst?

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Pickl AI

JULY 18, 2023

It is popular for its powerful data visualization and analysis capabilities. Hence, Data Scientists rely on R to perform complex statistical operations. With a wide array of packages like ggplot2 and dplyr, R allows for sophisticated data visualization and efficient data manipulation.

Data Science 52

Data Science SQL Data Scientist Python 52

ODSC - Open Data Science

MARCH 11, 2024

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

Kaggle

APRIL 20, 2020

In 2009 and 2010, I participated the UCSD/FICO data mining contests. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1 I’m also a part-time software developer for 11ants analytics. My PhD research focuses on meta-learning and the full model selection problem.

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

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 Data Analysis 52