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VLOOKUP in Excel: Formula, How to Use, Examples & More

Analytics Vidhya

Luckily, Excel’s VLOOKUP tool comes to the rescue, making data discovery much easier. Whether you’re a seasoned Excel user or a beginner, mastering VLOOKUP can greatly enhance your data analysis skills. Are you tired of spending endless hours searching for specific information in large Excel files?

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A new era in BI: Overcoming low adoption to make smart decisions accessible for all

IBM Journey to AI blog

Without knowing what to look for, business analysts can miss critical insights, making dashboards less effective for exploratory data analysis and real-time decision-making. These tools are designed to guide users effortlessly from data discovery to actionable decision-making, enhancing their ability to act on insights with confidence.

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Humboldt: A Specification-based System Framework for Generating a Data Discovery UI from Different Metadata Providers

Marktechpost

Data discovery has become increasingly challenging due to the proliferation of easily accessible data analysis tools and low-cost cloud storage. While these advancements have democratized data access, they have also led to less structured data stores and a rapid expansion of derived artifacts in enterprise environments.

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Exploring Different Types of Data Analysis: Methods and Applications

Pickl AI

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

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Exploratory Data Analysis through Visualization

Pickl AI

Summary: Exploratory Data Analysis (EDA) uses visualizations to uncover patterns and trends in your data. Histograms, scatter plots, and charts reveal relationships and outliers, helping you understand your data and make informed decisions. Imagine a vast, uncharted territory – your data set.

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Google AI Introduces Croissant: A Metadata Format for Machine Learning-Ready Datasets

Marktechpost

Even among datasets that include the same subject matter, there is no standard layout of files or data formats. This obstacle lowers productivity through machine learning development—from data discovery to model training. Additionally, it makes it harder to create essential tools for dealing with huge datasets.

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Top 30 Artificial Intelligence (AI) Tools for Data Analysts

Marktechpost

Microsoft Power BI For businesses looking to integrate AI and improve their data analysis capabilities, Microsoft Power BI is a crucial tool. Its advanced text analysis features allow users to extract significant phrases and do sentiment analysis, improving the overall caliber of data insights.