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

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

To develop the predictive model, data science experts or analysts generate standard predictive algorithms and statistical models, train them using subsets of the data, and execute them against the entire data set. Data Mining- You cleanse your data sets through data mining or data cleaning.

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Why Data Warehouse Projects Fail? Delayed Data Warehouse Loading Data must first be prepared and cleaned before being placed into the warehouse. Automation can accelerate all data management and data warehousing steps, including data collection, preparation, analysis, etc.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

This allows independent scaling of both components and native data storage in the open Delta Lake format. Real-Time Analytics Real-Time Analytics excels in processing observational data collected from diverse sources such as apps, IoT devices, and human interactions.

Database-centric 40

Database-centric BI Pipeline-centric Data Lake 40

Knowledge Hut

FEBRUARY 29, 2024

Get to know more about data science for business. Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. In data analysis, EDA performs an important role.

Data Science 98

Data Science Database Design Machine Learning Datasets 98

ProjectPro

JUNE 6, 2025

An AWS Data Scientist is a professional who combines expertise in data analysis, machine learning , and AWS technologies to extract meaningful insights from vast datasets. They are responsible for designing and implementing scalable, cost-effective AWS solutions, ensuring organizations can make data-driven decisions.

AWS 40

AWS Amazon Web Services Cloud Computing Machine Learning 40

AltexSoft

MAY 12, 2022

Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. Audio data transformation basics to know.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

ProjectPro

JUNE 6, 2025

You will build an intelligent FAQ retrieval system by using SQLite for database storage, FastEmbed for text embeddings, and Groq for generating AI-powered responses.Here is a quick overview of the tutorial: Step 1-6: Data Preparation (FAQs, vector embeddings, and storage). Step 7: Create and store vector embeddings in a database.

Building 52

Building Banking SQL Deep Learning 52

ProjectPro

JUNE 6, 2025

They provide a centralized repository for data, known as a data warehouse, where information from disparate sources like databases, spreadsheets, and external systems can be integrated. This integration facilitates efficient retrieval and data analysis, enabling organizations to gain valuable insights and make informed decisions.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

It helps individuals improve their data analysis skills, deepen their understanding of scientific concepts, and gain hands-on experience with computational problem-solving. This exposure enhances their ability to extract meaningful insights from data, make informed decisions, and implement their findings effectively.

Data Science 40

Data Science Project Python Datasets 40

ProjectPro

JUNE 6, 2025

These algorithms can be used in combination with each other or with other data analysis techniques to optimize prices and maximize revenue or profit. The choice of algorithm depends on the specific business goals, data available, and the level of complexity desired. PREVIOUS NEXT <

Machine Learning 40

Machine Learning Project Insurance Food 40

Knowledge Hut

MAY 1, 2024

It is important to make use of this big data by processing it into something useful so that the organizations can use advanced analytics and insights to their advant age (generating better profits, more customer-reach, and so on). These steps will help understand the data, extract hidden patterns and put forward insights about the data.

Algorithm 98

Algorithm Raw Data Programming Language Computer Science 98

ProjectPro

JUNE 6, 2025

At its core, a machine learning system leverages the power of data to refine and boost performance over time iteratively. It further preprocesses the raw data by performing tasks like handling missing values, converting time formats, and normalizing user behavior- all of which are crucial for meaningful insights.

Machine Learning 40

Machine Learning Process Entertainment Algorithm 40

ProjectPro

JUNE 6, 2025

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 40

Certification Data Engineering Data Engineer Engineering 40

U-Next

AUGUST 11, 2022

Other skills this role requires are predictive analysis, data mining, mathematics, computation analysis, exploratory data analysis, deep learning systems, statistical tests, and statistical analysis. is highly beneficial. is highly beneficial. Programming skills in Java, Scala, and Python are a must.

Medical 52

Medical Scala Computer Science Machine Learning 52

AltexSoft

MAY 14, 2021

Big Data analytics processes and tools. Data ingestion. The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Data analysis.

Big Data 78

Big Data Data Analytics IT NoSQL 78

U-Next

SEPTEMBER 28, 2022

The practice of gathering and analyzing Human Resource (HR) data to boost an effective and efficient workforce performance is known as HR Analytics. This data analysis approach uses commonly acquired HR data and compares it to HR and organizational objectives. Data Collection . Challenges .

Recruitment 52

Recruitment Algorithm Machine Learning Utilities 52

Knowledge Hut

JUNE 4, 2024

A data scientist is a person who is better at statistics than any programmer and better at programming than any statistician. Data science is the idea to "understand and analyzing actual phenomena" with data by integrating statistics, machine learning, data analysis, and their related techniques.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

NOVEMBER 3, 2023

Data Visualization It provides a wide range of networks, diagrams, and maps. Boasts an extensive library of customizable visuals for diverse data representation. Augmented Analytics Incorporates machine learning and AI for automated data preparation, insights, and suggestions.

BI 52

BI Cloud Retail Certification 52

Knowledge Hut

JUNE 20, 2023

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 28, 2023

It also entails data utilization, analysis techniques, user roles, and applications, allowing for a comprehensive comparison between business intelligence and data mining cycle. By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

DECEMBER 26, 2023

Why data analytics? Data Analytics in this Information Age has nearly endless opportunities since literally everything in this era hinges on the importance of proper processing and data analysis. The insights from any data are crucial for any business.

Certification 52

Certification Data Analytics BI AWS 52

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

MAY 9, 2024

Responsibilities BI analysts are responsible for studying industry trends, analyzing company data to identify business strategy trends, developing action plans, and preparing reports. Average Salary of Data Analyst As data analysis has become a little saturated, budding analyst can expect an average annual salary of $70,210.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

U-Next

JUNE 29, 2022

While the ETL workflow is becoming obsolete, it still serves as a common word for the data preparation layers in a big data ecosystem. Working with large amounts of data necessitates more preparation than working with less data. Data ingestion can be divided into two categories: .

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Monte Carlo

MAY 25, 2023

Data orchestration is the process of gathering siloed data from various locations across the company, organizing it into a consistent, usable format, and activating it for use by data analysis tools. Some of the value companies can generate from data orchestration tools include: Faster time-to-insights.

Data Pipeline 52

Data Pipeline Data Workflow Data Governance Data 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 30, 2024

Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., Best Data extraction methods & Techniques Data extraction is a pivotal step in the data analysis process, serving as the gateway to converting unstructured or semi-structured data into a structured and usable format.

Database-centric 52

Database-centric ETL Tools Data Mining Data Cleanse 52

ProjectPro

AUGUST 9, 2021

Maintain a count of occurrences for each activity to check if data skews towards an activity more than others. Exploratory Data Analysis Uni variate analysis Necessary fields such as Standard deviation, minimum, maximum, and mean values are plotted against each data variable in the data set.

Data Science 52

Data Science Python Project Algorithm 52

Knowledge Hut

FEBRUARY 1, 2024

You cannot expect your analysis to be accurate unless you are sure that the data on which you have performed the analysis is free from any kind of incorrectness. Data cleaning in data science plays a pivotal role in your analysis. The real-world data is messy.

Data Science 52

Data Science Process Data Cleanse Datasets 52

ProjectPro

JUNE 2, 2015

In most of the big data companies, it is not that data is not available; it is that data is not complete, organized, stored and blended right in a manner that it can be consumed directly for big data analysis. times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 6, 2025

None of this would have been possible without the application of big data analysis process on by the modern data driven companies. We bring the top big data projects for 2023 that are specially curated for students, beginners, and anybody looking to get started with mastering data skills.

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

This blog streamlines your search, guiding you toward the ideal datasets and accelerating your data science journey with ProjectPro's innovative hands-on projects. Without high-quality data, it's impossible to build accurate and reliable models. So, where can you find good datasets for your data science projects?

Datasets 40

Datasets Data Science Project Google Cloud 40