Remove Business Intelligence Remove Download Remove EDA
article thumbnail

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

Towards AI

Photo by Luke Chesser on Unsplash EDA is a powerful method to get insights from the data that can solve many unsolvable problems in business. EDA is an iterative process, and is used to uncover hidden insights and uncover relationships within the data. Let me walk you through the definition of EDA in the form of a story.

article thumbnail

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. Reporting Data In this section, we have to download, connect and analyze the data on PowerBI. Figure 11: Project’s GitHub Now, we have to click on the icon of “download”.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

article thumbnail

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. In this tutorial, we will perform EDA on the S&P 500 dataset using Python. The dataset can be downloaded from Kaggle. csv') 2. pct_change().dropna(),