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. Create visual dashboards displaying real-time price trends, trading signals, and market sentiment analysis.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

It is helpful for data analysis and manipulation tasks in Data Science and is ideal for dealing with numerical tables and data in time series. The Pandas library has flexible data structures that allow for efficient data manipulation and make it easier to represent data, improving data analysis.

Data Science 40

Data Science Hadoop Machine Learning Unstructured Data 40

ProjectPro

JUNE 6, 2025

Redshift is the best choice to perform everyday data warehouse operations. BigQuery, on the other hand, is better suited for enterprises wishing to undertake data mining or those dealing with highly variable workloads. Learn more about real-world big data applications with unique examples of big data projects.

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Apache Spark is an open-source analytics engine that is used by data scientists for large-scale data processing. SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. The primary uses of Weka are for data mining, data analysis, and predictive modeling.

Java 53

Java Data Science Python Programming Language 53

ProjectPro

JUNE 6, 2025

Whether you are beginner looking to pursue a career in data science or looking to improve your python skills for data analysis, you might be overwhelmed with the amount of learning resources available out there - courses, books, and videos. Struggling with solved data science projects?

Data Science 40

Data Science Python Data Mining Algorithm 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 Datasets Machine Learning 40

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. It separates the hidden links and patterns in the data. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

For Azure Data Lake Object Storage, file size is not limited. To Azure Data Lake Object Storage, you can easily upload files of any size. Mention some applications of Azure Data Lake. Data warehousing , data mining , data analysis , and data visualization are some tasks that can be performed using Azure Data Lake.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

ProjectPro

JUNE 6, 2025

Prerequisites to Learn Big Data Below are the prerequisites we recommend you perfect yourself to learn big data. SQL, Data Warehousing/Data Processing, and Database Knowledge: This includes SQL knowledge to query data and manipulate information stored in databases. 3) How do I start learning big data?

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

What industry is big data developer in? What is a Big Data Developer? A Big Data Developer is a specialized IT professional responsible for designing, implementing, and managing large-scale data processing systems that handle vast amounts of information, often called "big data."

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Loan Eligibility Prediction Project This intermediate-level project will teach you machine learning aspects such as feature engineering , performing in-depth exploratory data analysis, etc. Data Engineer Data engineers develop and maintain the data platforms that machine learning and AI systems rely on.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

Knowledge Hut

MAY 30, 2024

Big Data Analytics in the Industrial Internet of Things 4. Digital Image Processing: 6. Data Mining 12. Choose this as your computer research topic to discover big data analytics' most compelling applications and benefits. Fog Computing and Related Edge Computing Paradigms 10. Machine Learning Algorithms 5.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

ProjectPro

JUNE 6, 2025

Expert Opinion on How To Become a Microsoft Certified Azure Data Scientist For Free Empower Your Career as an Azure Data Scientist With ProjectPro FAQs on Azure Data Scientist What is An Azure Data Scientist? Uses data science techniques to analyze data and build machine learning models.

Machine Learning 40

Machine Learning Data Science Certification Raw Data 40

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JUNE 6, 2025

The data in such cases is usually stored in JSON (JavaScript Object Notation) format, and Python has a library named JSON-JSON to handle such type of data. The responsibility of a data engineer is not only to obtain data from different sources but also to process it. What do data engineers use Python for?

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

Knowledge Hut

MAY 2, 2024

Most cutting-edge technology organizations like Netflix, Apple, Facebook, and Uber have massive Spark clusters for data processing and analytics. Data Processing MapReduce can only be used for batch processing where throughput is more important and latency can be compromised.

Scala 96

Scala Hadoop Java Datasets 96

ProjectPro

JUNE 6, 2025

4) Data Visualization The data analysis process includes more than just extracting useful insights from data. A good data analyst portfolio template will demonstrate to potential companies that you can use data to solve issues and discover new possibilities.

Portfolio 40

Portfolio Building Data Mining Data Analysis 40

Knowledge Hut

JANUARY 18, 2024

For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation. It also helps organizations to maintain complex data processing systems with machine learning. Who Is a Full-Stack Data Scientist?

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Machine Learning Data Science 98

ProjectPro

JUNE 6, 2025

Businesses employ data scientists, analytical frameworks, datasets , and various tools and techniques to leverage vast amounts of data for their profit. The Bureau of Labor Statistics (BLS) predicts that between 2018 and 2028, demand for data analysts will increase by 26%.

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

JUNE 6, 2025

You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies. You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Only 20% of the time is spent exploring the data, and the rest 80 % is consumed in data wrangling. In layman's terms, data wrangling is vital since it is the only method to use unprocessed data and is now a crucial aspect of data processing. Converting Data into reliable data types.

Raw Data 58

Raw Data Programming Language Unstructured Data Datasets 58

ProjectPro

JUNE 6, 2025

Machine Learning in Action - Peter Harrington This book is another top pick for machine learning beginners that walks them through the machine learning techniques and the practicalities of developing tools for everyday data analysis. A basic familiarity with Python programming language is essential to start reading this book.

Machine Learning 45

Machine Learning Deep Learning Algorithm Python 45

Knowledge Hut

MARCH 7, 2024

Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits. Big data analytics tools and technology provide high performance in predictive analytics, data mining, text mining, forecasting data, and optimization. It is a part of the Google Drive suite of products.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights.

Hadoop 52

Hadoop Project Data Mining Big Data 52

Knowledge Hut

JUNE 11, 2024

In recent years, Machine Learning, Artificial Intelligence, and Data Science have become some of the most talked-about technologies. Companies of all sizes are investing millions of dollars in data analysis and on professionals who can build these exceptionally powerful data-driven products. Why Java for Data Science?

Java 52

Java Data Science Programming Language Scala 52

Knowledge Hut

MAY 23, 2024

Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. Programming Language-driven Tools 9.

Data Science 52

Data Science MongoDB Programming Language BI 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

ProjectPro

FEBRUARY 8, 2023

Apache Kafka is used for diverse use cases from real-time data processing to event sourcing. The Kafka technology works perfectly with dynamically changing data-driven businesses where large amounts of records need to be processed as they come in. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Healthcare Medical 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

DECEMBER 7, 2021

4) Data Visualization The data analysis process includes more than just extracting useful insights from data. A good data analyst portfolio will demonstrate to potential companies that you can use data to solve issues and discover new possibilities. 2) What aspect of data intrigues you the most?

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

Databand.ai

DECEMBER 20, 2022

Follow Cassie on LinkedIn 3) Julia Silge Software Engineer at Posit PBC Julia is a tool builder, author, international keynote speaker, and real-world practitioner focusing on data analysis, machine learning, and MLOps. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.

Data Analytics 52

Data Analytics Google Cloud Data Mining Data Science 52

Knowledge Hut

FEBRUARY 12, 2023

They are possible only with the data that help identify the requirements of new products and customer expectations. Data science allows efficient data processing and interpretation, which helps understand the needs and make precise business decisions.

Data Science 52

Data Science Computer Science Certification Portfolio 52