Remove Business Intelligence Remove Data Analysis Remove Exploratory Data Analysis
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How Exploratory Data Analysis Helped Me Solve Million-Dollar Business Problems

Towards AI

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

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Exploratory Data Analysis on Stock Market Data

Mlearning.ai

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. It helps in understanding the underlying patterns and relationships in the data. pct_change().dropna(),

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

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Data Analysis vs. Data Visualization – More Than Just Pretty Charts

Pickl AI

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Is Data Analysis just about crunching numbers?

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

IBM Journey to AI blog

The push to enhance productivity, use resources wisely, and boost sustainability through data-driven decision-making is stronger than ever. Yet, the low adoption rates of business intelligence (BI) tools present a significant hurdle. Dashboards are static and require users to come with specific queries or metrics in mind.

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The project I did to land my business intelligence internship?—?CAR BRAND SEARCH

Mlearning.ai

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Figure 15: Step 4 — Loading data Once we’ve clicked on “Load”, Power BI will connect with pgAdmin4. Finally, it will show us the data. Figure 16: Dashboard data 4.3.

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Different Python Libraries for Data Visualisation

Pickl AI

Choosing the proper library improves data exploration, presentation, and industry decision-making. Introduction Data visualisation plays a crucial role in Data Analysis by transforming complex datasets into insightful, easy-to-understand visuals. It helps uncover patterns, trends, and correlations that might go unnoticed.

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