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 Data Science Datasets 40

ProjectPro

JUNE 6, 2025

Exploratory Data Analysis is the first step of any data science project. This article contains five easy-to-implement Exploratory Data Analysis projects in Python. Top 5 Exploratory Data Analysis Python Projects Here is a list of five beginner-friendly Exploratory Data Analysis Python Projects.

Data Analysis 40

Data Analysis Python Project Hospitality 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

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 115

Python SQL Data Science Machine Learning 115

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 124

Data Science Datasets SQL Python 124

KDnuggets

MAY 27, 2025

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

Python 84

Python Data Analysis Process Data 84

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

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 SQL Big Data Raw Data 67

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

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

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

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

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 Machine Learning Python Datasets 66

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

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 82

Unstructured Data Government SQL Structured Data 82

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 94

Algorithm Data Analysis Process Building 94

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

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

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

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 Raw Data 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 BI 40

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 Machine Learning Data Analysis 40

ProjectPro

JUNE 6, 2025

How do you prepare a data science case study? 10 Most Interesting Data Science Case Studies with Examples So, without much ado, let's get started with data science business case studies ! The data is collected over 100 billion events every day. FAQs on Data Analysis Case Studies What is a case study in data science?

Data Science 67

Data Science Project Food Pharmaceutical 67

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 Deep Learning 65

ProjectPro

JUNE 6, 2025

It's a valuable resource for both beginners and experienced data analysts looking to harness the power of NumPy Python library for efficient Python programming. Python 's prowess in data analysis, scientific computing, and numerical manipulation is widely acknowledged.

Aggregated Data 40

Aggregated Data Python Data Science Data Analysis 40

ProjectPro

JUNE 6, 2025

The Citizen Data Scientist is an individual who is not necessarily trained in data science or analytics but has the skills and tools to work with data and extract insights. Citizen data scientists leverage machine learning technology to build predictive or prescriptive analytics -based models.

Programming Language 53

Programming Language Data Science Education Machine Learning 53

ProjectPro

JUNE 6, 2025

Completing a data analytics project is time consuming and not so easy. The success of any data analysis project majorly depends on how effective your data analytics project plan is and how well you can implement it. Your data can be in any format, such as flat files, HTML, XML, JSON, APIs, etc.

Data Analytics 40

Data Analytics Project Big Data Tools BI 40

RudderStack

JUNE 6, 2025

In this guide, we will explore the different data types supported by Snowflake and understand how they can be effectively used in your data analysis projects.

Data Analysis 40

Data Analysis Data Project 40

ProjectPro

JUNE 6, 2025

By the end of this tutorial, you'll be able to combine the knowledge of SQL with Python, optimizing your data analysis workflows like never before. Table of Contents PandaSQL - SQL Meets Python Why Use Pandasql for Data Science Projects? Let's get started! Pandasql Tutorial: How to Use Pandasql with Examples? FAQs on PandaSQL 1.

SQL 40

SQL Data Science Project Aggregated Data 40

ProjectPro

JUNE 6, 2025

Data Science Roles - Top 4 Reasons to Choose Choosing data science as a career serves several benefits: Growth: According to the IBM report, there were about 2.7 million available positions in data analysis, data science, and related fields. They also help data science professionals to execute projects on time.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Data modeling skills enable you to create accurate models and communicate using visualizations. Data Analysis Data analytics engineers must be familiar with the principles and formulas of data analysis.

Data Analytics 40

Data Analytics Engineering IT Computer Science 40

ProjectPro

JUNE 6, 2025

When working on a data science project, after using Exploratory Data Analysis techniques over the dataset, the next step is to clean it and prepare it for the application of machine learning / deep learning algorithms. You can answer this question if you closely look at the hotels booking data.

Project 40

Project Algorithm Datasets Data Science 40

ProjectPro

JUNE 6, 2025

Ready to take your big data analysis to the next level? Check out this comprehensive tutorial on Business Intelligence on Hadoop and unlock the full potential of your data! million terabytes of data are generated daily. According to the latest reports, 328.77

Hadoop 40

Hadoop BI Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

This conversion is called data transformation, and it involves transforming raw data into a format such as ".csv", csv", which is compatible with data analytics tools. Exploratory Data Analysis The next step in data preparation is analyzing the data. What are the steps in data preparation?

Data Preparation 45

Data Preparation Machine Learning Project IT 45