Found 30 repositories(showing 30)
Data Analytics Project 1, Group 6
arocegue
No description available
rezakarbasi
بررسی دیتای استارتاپ ها
DrihanDP
Product reliability & Failure Analysis.
abinayabhuvanakumar
DataAnalytics_Project1
konradkk2019
DataAnalytics-Project1-Repo
DineshKumarsi
No description available
harshit0401kr-cloud
No description available
pavithrasimmala
No description available
arielchunn
No description available
rfukamachi
No description available
Limc028
No description available
M-Munguia
Exploring coffee sales trends from a Ukranian vending machine.
Dharunsankar26
MY PROJECT DEMONSTRATING MY SQL SKILLS
Dharunsankar26
MY PROJECT DEMONSTRATING MY POWERBI SKILLS
ogmaribel
No description available
RiccardoCossu99
A comprehensive collection of SQL scripts for data exploration, analytics, and reporting.
Shrutishete-97
No description available
vidya8010
No description available
EmilyCoxon
Project 1
tanveerm176
No description available
group project
SVSLakshmiprasanna
This project involves working with a dataset containing information about retail sales. The goal is to perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that can help the retail business make informed decisions.
Data Analytics Bootcamp - Project 1 - Group 3
Deepu3806
House Price Prediction using Linear Regression A data analytics project that builds and evaluates a linear regression model to predict house prices using multiple features. Includes data preprocessing, categorical encoding, model training, performance evaluation, and visualization of actual vs predicted prices.
Deepu3806
Exploratory Data Analysis (EDA) on a retail sales dataset using Python to uncover sales trends and customer behavior. Includes data cleaning, feature engineering, and visual insights using Pandas, Matplotlib, and Seaborn.
Abdullah321Umar
🔸 Exploratory Data Analysis (EDA) on Retail Sales Data 🔸 Performed data cleaning, descriptive statistics, and time-series analysis to uncover sales patterns, customer behavior, and product insights. Visualized key trends using Python (Pandas, Matplotlib, Seaborn) and provided actionable recommendations for retail decision-making.
PRAVEENKUMAR1312
This project involves an in-depth data analysis using Python, focusing on understanding, cleaning, and visualizing the dataset. By leveraging various Python libraries such as Pandas, Numpy, Matplotlib, Plotly, and Seaborn, the project aims to extract meaningful insights and patterns from the data.
PRAVEENKUMAR1312
This project involves data analysis of a dataset using the Pandas and Numpy libraries for manipulation and analysis, and Seaborn for visualization to clearly understand the data. This analysis helps in extracting meaningful insights and patterns from the data.
PRAVEENKUMAR1312
This project tackles an intriguing SQL murder mystery problem, aiming to identify the killer through data analysis. By leveraging Python, along with the Numpy, Pandas, and SQLite libraries, the project guides users through the process of investigating the dataset, running SQL queries, and ultimately solving the mystery.
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