Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon What is EDA(Exploratory data analysis)? Exploratory data analysis is a great way of understanding and analyzing the data sets. The post Exploratory Data Analysis on UBER Stocks Dataset appeared first on Analytics Vidhya.

Exploratory Data Analysis 358

Exploratory Data Analysis Data Analysis Data Analysis EDA 358

Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. Data preparation is an essential step in the data science workflow, and data scientists should be familiar with various data preparation tools and best practices.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Data Science Dojo

APRIL 29, 2025

In the world of data, data workflows are essential to providing the ideal insights. Imagine youre the data analyst for a top football club, and after reviewing the performance from the start of the season, you spot a key challenge: the team is creating plenty of chances, but the number of goals does not reflect those opportunities.

Power BI 195

Power BI Analytics Analytics EDA 195

ODSC - Open Data Science

FEBRUARY 24, 2023

While machine learning frameworks and platforms like PyTorch, TensorFlow, and scikit-learn can perform data exploration well, it’s not their primary intent. There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Dataconomy

MARCH 5, 2025

Analyzing data trends: Using analytic tools to identify significant patterns and insights for business improvement. Data visualization: Creating dashboards and visual reports to clearly communicate findings to stakeholders. Machine learning: Developing models that learn and adapt from data.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

APRIL 3, 2025

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. Deep Dive: What is Data Visualization?

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52