ProjectPro

JUNE 6, 2025

Discover different types of LLM data analysis agents, learn how to build your own, and explore the steps on how to create an LLM-powered data analysis agent that processes market data, analyzes trends, and generates valuable insights for cryptocurrency traders and investors. Let’s get into it!

Data Analysis 40

Data Analysis Building Datasets Raw Data 40

ProjectPro

JUNE 6, 2025

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The big data analytics market in 2015 will revolve around the Internet of Things (IoT), Social media sentiment analysis, increase in sensor driven wearables, etc. during 2014 - 2020.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

Get to Know Panda Artificial Intelligence PandasAI – Your Ultimate AI-Powered Data Analysis Solution! This blog explores PandasAI, your one-stop AI-powered solution for data analysis and manipulation. The data analytics landscape is exploding! Simplify Your Data Analysis Tasks with PandasAI and ProjectPro!

Data Analysis 40

Data Analysis Python Datasets Data Science 40

ProjectPro

JUNE 6, 2025

And, if you are one of those who are clueless about where to start learning about AI, then Data Analysis is the topic you should explore. Read this blog to understand how to learn Data Analysis in the shortest possible time. But before diving into details, take a few minutes to understand what data analysis is.

Data Analysis 40

Data Analysis IT Programming Language Algorithm 40

ProjectPro

JUNE 6, 2025

Why are PySpark Joins Important for Data Analytics? Data analysis usually entails working with multiple datasets or tables. As a result, it's crucial to understand techniques for combining data from various tables. What is the difference between a full join and a full outer join?

Data Analysis 40

Data Analysis Finance Datasets Big Data 40

Simon Späti

JULY 9, 2025

Today, twenty years later, does conversational BI through MCP and semantic context finally deliver on the true promise of self-serve by allowing us to prompt our way through data analysis? With the right setup, conversations can generate BI artifacts.

BI 130

BI Business Intelligence Data Analysis Data 130

KDnuggets

JUNE 10, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. Its tight integration with Python and R makes it ideal for interactive data analysis. EXCLUDE, REPLACE, and ALL) to simplify query writing.

Python 107

Python Data Science SQL Machine Learning 107

KDnuggets

JUNE 13, 2025

Tools like Tableau and Power BI do data analysis by just clicking, and they offer amazing visualizations at once, called dashboards. You can see the article titles too often, “ will LLMs replace data analysts? ”. Companies also noticed this, and everyone was looking for talent that could work with SQL, Python, and R.

Data Science 112

Data Science Datasets Python Machine Learning 112

KDnuggets

JUNE 19, 2025

Python works best for: Exploratory data analysis and prototyping Machine learning model development Complex ETL with business logic Statistical analysis and research Data visualization and reporting Go: Built for Scale and Speed Go takes a different approach to data processing, focusing on performance and reliability from the start.

Data Workflow 112

Data Workflow Python Data Ingestion Machine Learning 112

Analytics Vidhya

FEBRUARY 28, 2024

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

MongoDB 222

MongoDB Data Pipeline Kafka Building 222

KDnuggets

MAY 27, 2025

These ten compact and pythonic shortcuts will boost your time data analysis and processing workflows. See how and why.

Python 76

Python Data Analysis Process Data 76

KDnuggets

JULY 1, 2025

This is a must-have bookmark for any data scientist working with Python, encompassing everything from data analysis and machine learning to web development and automation.

Data Science 121

Data Science Machine Learning Telecommunication Portfolio 121

Snowflake

JANUARY 21, 2025

For the rest of the telecommunications predictions and more, download the report Snowflake AI + Data Predictions 2025. Data analysis for network optimization has been a long-standing industry challenge. However, the integration of native language models and geospatial data is set to transform network planning.

Telecommunication 98

Telecommunication Data Analysis Cloud Technology 98

ProjectPro

JUNE 6, 2025

In this article, you will explore one such exciting solution for handling data in a better manner through AWS Athena , a serverless and low-maintenance tool for simplifying data analysis tasks with the help of simple SQL commands. It is a serverless big data analysis tool. Let us explore those challenges quickly.

AWS 67

AWS Big Data SQL Raw Data 67

KDnuggets

JUNE 18, 2025

Conclusion Jupyter Notebook is a platform used by many data scientists for data analysis and collaborative work. In this article, we have explored seven different Jupyter Notebook extensions that data scientists should not miss: I hope this has helped!

Data Science 98

Data Science Media Machine Learning Python 98

Snowflake

FEBRUARY 12, 2025

With these updates, Cortex Analyst enhances structured data analysis and simplifies admin setup for agentic applications. Cortex Search: High-quality context engine for unstructured data Cortex Agents use Cortex Search to retrieve unstructured data (e.g., text, audio, image, video). With Claude 3.5

Unstructured Data 83

Unstructured Data Government SQL Structured Data 83

ProjectPro

JUNE 6, 2025

Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., differ from ETL developer and the additional skills you need to transition from ETL developer to data engineer job roles. Data analysis and visualization have traditionally been a common goal for businesses.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

Snowflake

JANUARY 16, 2025

Large language models (LLMs) are at the heart of generative AI transformations, driving solutions across industries from efficient customer support to simplified data analysis. Enterprises need performant, cost-effective and low-latency inference to scale their gen AI solutions.

Algorithm 95

Algorithm Data Analysis Process Building 95

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Reddit, being a vast community-driven platform, provides a rich data source for extracting valuable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

Snowflake

JUNE 26, 2025

As data environments grow in volume and complexity, companies want to leverage modern AI capabilities to make data intelligence more accessible and scalable. Our Semantic Fusion technology integrates deep data analysis with language models that are fine-tuned for a specific organization.

Database-centric 90

Database-centric Technology Cloud Database 90

KDnuggets

JUNE 27, 2025

Conclusion The combination of Streamlit, Pandas, and Plotly transforms data analysis from static reports into interactive web applications. The free tier supports multiple apps and handles reasonable traffic loads, making it perfect for sharing dashboards with colleagues or showcasing your work in a portfolio.

Data Science 101

Data Science Machine Learning Datasets Python 101

ProjectPro

JUNE 6, 2025

So, how can data analysis tools help us? It will introduce you to the basics of time series and shine a light on various tools used for Exploratory Data Analysis. You will learn how to preprocess the data and plot various graphs using libraries in Python. Many people believe that global warming is a hoax.

Deep Learning 66

Deep Learning Python Machine Learning Datasets 66

ProjectPro

JUNE 6, 2025

Along with this, you will learn how to perform data analysis using GraphX and Neo4j. Apache Zeppelin Demo Big Data Project for Data Analysis : This project is best for beginners exploring big data tools.

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

ProjectPro

JUNE 6, 2025

Streamlit Project Example to Build an EDA Dashboard using AWS Services In this project, with the help of Streamlit and AWS services, you will learn how to set up an exploratory data analysis (EDA) dashboard for business users. Amazon S3, Amazon Glue, and Amazon Athena are the foundation for the database layer.

Python 74

Python Project Google Cloud Medical 74

KDnuggets

JULY 2, 2025

More On This Topic Building Fun Projects with OpenAI Codex Short and Fun Courses to Get You Up to Speed About Generative AI 7 Python Projects for Beginners 7 Advanced AI Projects for Beginners 7 MLOPs Projects for Beginners 5 Data Analysis Projects For Beginners Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language (..)

Python 118

Python Project Data Science Machine Learning 118

KDnuggets

JUNE 26, 2025

Your Own Data: Upload to Github raw or use any public CSV URL Based on your quality score, you can determine next steps: above 95% means proceed directly to exploratory data analysis, 85-94% suggests minimal cleaning of identified problematic columns, 75-84% indicates moderate preprocessing work is needed, 60-74% requires planning targeted cleaning (..)

Datasets 105

Datasets Data Science Machine Learning Python 105

RandomTrees

NOVEMBER 25, 2024

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. Moving forward, such data analysis allowed the model to predict the probability of customers leaving within the next six-month period with great accuracy.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Edureka

JANUARY 2, 2025

Formulae and expressions in Power BI are created using a set of functions, operators, and constants called Data Analysis Expressions (DAX). It’s among the most adaptable DAX functions for combining data to produce more precise and perceptive reports. SumX Power BI can help you improve your data analysis.

BI 52

BI Datasets Business Intelligence Data Analysis 52

ProjectPro

JUNE 6, 2025

This blog will provide you with valuable insights, exam preparation tips, and a step-by-step roadmap to ace the AWS Data Analyst Certification exam. So if you are ready to master the world of data analysis with AWS, then keep reading. Organizations are currently dealing with petabyte-scale data that hold valuable insights.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

The components are as follows: Data Analysis : The analysis component of the MLOps flow can be implemented using various tools and programming languages like Python and R. Please remember, in production, the actual process of Data Science does not change. Rather the way we approach solution design evolves.

Project 66

Project Amazon Web Services Machine Learning Data Science 66

KDnuggets

JULY 11, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Next post => Latest Posts 10 Surprising Things You Can Do with Python’s datetime Module Generative AI: A Self-Study Roadmap Kaggle CLI Cheat Sheet Automate SQL Workflows with n8n: Scheduled Database Reports via Email 5 Ways to Transition Into AI from a Non-Tech (..)

Machine Learning 91

Machine Learning Data Science Python Datasets 91

ProjectPro

JUNE 6, 2025

The term "intelligence" in AI refers to computer intelligence, whereas "intelligence" in BI refers to more intelligent business decision-making that data analysis and visualization may provide. AI can help BI tools provide clear, actionable insights from the study data. Individual data analysis takes a long time.

Business Intelligence 56

Business Intelligence BI Data Mining Algorithm 56

ProjectPro

JUNE 6, 2025

3 Reasons to Use AI in Data Analytics Traditional data analysis methods are struggling to keep up. With so much new data pouring in every second, missing what matters is easy. Manual Data Processing Slows Down Everything Manual data processing has long been a bottleneck when trying to analyze historical data.

Data Analytics 40

Data Analytics Unstructured Data Datasets Machine Learning 40

KDnuggets

JULY 7, 2025

Data Project - Uber Business Modeling We will use it with Jupyter Notebook, combining it with Python for data analysis. To make things more exciting, we will work on a real-life data project. Here is the link to the data project we’ll be using in this article. So enough with the terms, let’s get started!

SQL 102

SQL Insurance Data Science Machine Learning 102

ProjectPro

JUNE 6, 2025

The reason for this growing importance is simple: the world is becoming increasingly data-driven. Learning basic AI concepts , particularly in the beginner-friendly domain of data analysis , will thus become a must-have skill among professionals of different industries. FAQs What is Artificial Intelligence for Data Analysis?

Data Analytics 40

Data Analytics Healthcare Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

In this geospatial data science example project, the goal is to deduce whether a given pixel of a satellite-image belongs to land or not using machine learning/deep learning algorithms. Before you move ahead with the implementation of the algorithms, make sure to perform exploratory data analysis methods to understand the data in depth.

Data Science 65

Data Science Project Transportation Algorithm 65