Dataconomy

MARCH 10, 2025

Data Mining: Methods that extract patterns from large datasets to inform personalization strategies. Data Visualization: This technique aids in understanding complex information, making it easier to derive actionable insights from the data.

Predictive Analytics 91

Predictive Analytics Data Science Natural Language Processing Machine Learning 91

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 29, 2025

Analytical CRM Analytical CRM is designed to enhance customer relationships by diving deep into data insights. Key components Data mining and OLAP tools: Techniques used for extracting actionable insights from large datasets. This type seeks to understand customer behavior and preferences through analysis.

Analytics 91

Analytics Analytics Data Visualization Data Mining 91

Dataconomy

MAY 17, 2024

He brings a unique perspective on how advanced technologies such as data science and artificial intelligence (AI) can enhance decision-making processes, ensure transparency, and promote public trust. Artificial Intelligence (AI) is becoming increasingly influential in various sectors.

Predictive Analytics 91

Predictive Analytics Data Science Data Analysis Data Analysis 91

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

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

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

Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Already a multi-billion-dollar industry, AI is having a profound impact on every aspect of life, business, and society. These tools are becoming increasingly sophisticated, enabling the development of advanced applications.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. Fine-tuning is quite easy.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Business Intelligence 122

Business Intelligence Business Intelligence Analytics Analytics 122

ODSC - Open Data Science

AUGUST 21, 2023

Introducing the Topic Tracks for ODSC West 2023 — Highlighting Gen AI and LLMs As we progress towards the end of the year, we’re turning our full attention to ODSC West coming to the heart of the AI boom (in-person) or your computer (virtual) from October 30th — November 2nd.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JANUARY 15, 2025

Business Intelligence tools encompass a variety of software applications designed to collect, process, analyse, and present business data. These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management.

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

Smart Data Collective

JUNE 4, 2021

Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

DrivenData Labs

DECEMBER 11, 2024

Jeff Hammerbacher, Former Data Manager, Facebook The world has changed since then. Over the past ten years, we've gotten to see a lot of attempts to apply data science and AI for social impact. There are huge ethical implications from design decisions in data science and AI, but use lags behind available tools.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

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

JUNE 11, 2024

This structured organization facilitates insightful analysis, allowing you to drill down into specific details and uncover hidden relationships within your data. Data Mining and Reporting Data warehouses are not passive repositories.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

Pickl AI

JULY 30, 2024

Some of the key tools used for Machine Learning include: Building Machine Learning Models Machine learning models make predictions or classifications based on biological data. Data Mining Data mining involves extracting patterns and insights from large datasets. Weka and R support this process.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

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? Data analysis and interpretation The next step is to examine the extracted patterns, trends and insights to develop meaningful conclusions.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

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. Wrapping it up !!!

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

APRIL 18, 2023

Thus, it focuses on providing all the fundamental concepts of Data Science and light concepts of Machine Learning, Artificial Intelligence, programming languages and others. Usually, a Data Science course comprises topics on statistical analysis, data visualization, data mining and data preprocessing.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

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. How to use Excel in Data Analysis and why is it important?

Data Analysis 52

Data Analysis Data Analysis Data Analyst 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

JUNE 16, 2023

Market Basket Analysis in Python involves data mining technique that helps retailers increase sales by unfolding the details of customer purchasing patterns. Market Basket Analysis involves working on large data sets. Apriori Algorithm is one of the most commonly used Python libraries for association data mining.

Python 52

Python Algorithm Data Mining Data Mining 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. 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

Pickl AI

APRIL 19, 2023

Gather data The next step is to collect the relevant data from different sources like customer data and feedback. Analyze the data It is also significant to analyze the data, which involves different methods like data visualization, data mining, or statistical analysis, depending on the nature of the data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Dataconomy

JULY 28, 2023

By meeting these requirements during data preprocessing, organizations can ensure the accuracy and reliability of their data-driven analyses, machine learning models, and data mining efforts. What are the best data preprocessing tools of 2023?

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

MAY 16, 2023

Expansive Hiring The IT and service sector is actively hiring Data Scientists. In fact, these industries majorly employ Data Scientists. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. The post How to optimize your LinkedIn as a Data Scientist?

Data Scientist 52

Data Scientist Data Science SQL Python 52

Pickl AI

JANUARY 23, 2023

TensorBoard, a large package that is typically overlooked, is included within TensorFlow and is used for data visualization. When working with shareholders, TensorBoard makes it easier to visually represent the data. It is one of the most commonly used frameworks for data mining and analysis in the current scenario.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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