ProjectPro

JUNE 6, 2025

Data Architect Job Description Identify data sources, and develop a data management strategy that aligns with the organization's processes. Examine pre-existing data management techniques, tools, and methods. Create new data models for better data analysis. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

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. billion in 2025. Data classification and prediction become easier with data mining.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. Java-ML: Java Machine Learning library provides a vast collection of machine learning and data mining algorithms, it contains algorithms that can be used for data preprocessing, feature selection, classification and clustering.

Java 53

Java Data Science Python Programming Language 53

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. Machine Learning Careers to Pursue in 2025 1. Explore More Data Science and Machine Learning Projects for Practice.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

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 Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

Here are a few statistics that will show why choosing a career in AI and ML is the best option for you in 2024- The World Economic Forum predicts that artificial intelligence will replace some 85 million jobs and create 97 million new jobs by 2025. Uncover the most sought-after roles and make an informed choice for your career in 2024.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineer 40

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

We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume. 180 zettabytes- the amount of data we will likely generate by 2025! This is what data engineering does. You can list data skills on a resume according to the job description.

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis.

Data Mining 40

Data Mining Data Cleanse Hadoop Algorithm 40

ProjectPro

JUNE 6, 2025

Business Analysts can successfully transition to Data Scientists with the right training, education, and experience. A degree in computer science, statistics, or data science can also help build the necessary foundation. Additionally, networking can help you make connections, leading to job opportunities or referrals.

Business Analyst 40

Business Analyst Data Mining Portfolio Programming Language 40

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

Data analysis can uncover insights that lead to better decision-making, improved performance, and enhanced business outcomes. And if you have made up your mind to pursue a career in data analysis, then explore with us the various data analyst certifications available in the market and pick the one that best matches your needs.

Certification 40

Certification Data Mining Business Analyst BI 40

ProjectPro

JUNE 6, 2025

Table of Contents A Collection of Take-Home Data Science Challenges for 2025 Latest Data Science Take-Home Challenges That You Must Try! Solved Data Science Take Home Challenges for Beginners Data Science Take-Home Challenges for Interview Preparation How to do well on take-home data science challenges?

Data Science 40

Data Science Medical Machine Learning Retail 40

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%. billion by 2025. What does this mean?

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

JUNE 6, 2025

You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

ProjectPro

JUNE 6, 2025

Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil. you set up to source your data.

Data Science 40

Data Science Banking Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

The worldwide data warehousing market is expected to be worth more than $30 billion by 2025. Data warehousing and analytics will play a significant role in a company’s future growth and profitability. Use the Anime dataset to build a data warehouse for data analysis.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Furthermore, the job market is expected to significantly transform, with an estimated 97 million people expected to work in AI-related roles by 2025. About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies.

Data Analytics 40

Data Analytics Healthcare Algorithm Machine Learning 40

ProjectPro

JUNE 6, 2025

Well, read this blog to learn more about how modern companies leverage data science and machine learning techniques to boost their marketing efforts. Global data generation is likely to reach 463 exabytes per day by 2025. This data can provide actionable insights marketers can use to target their audience.

Data Science 40

Data Science Data Mining Algorithm Retail 40

ProjectPro

JUNE 6, 2025

If you think machine learning methods may not be of use to you, we reckon you reconsider that because, in May 2021, Gartner has revealed that about 70% of organisations will shift their focus from big to small and wide data by 2025. Creating your dataset through data mining and implementing machine learning algorithms over them.

Machine Learning 45

Machine Learning Programming Language Algorithm Datasets 45

Knowledge Hut

JANUARY 18, 2024

From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. But here's the fascinating part - it's estimated that by 2025, a whopping 463 exabytes of data will be created globally every single day.

Data Analytics 52

Data Analytics Healthcare Machine Learning Data Cleanse 52

Knowledge Hut

JUNE 16, 2023

According to a report by exploding topics, it is expected to grow to $126 billion by the end of 2025. It is apt for data mining and analysis tasks and provides efficient models for clustering, model selection, pre-processing, and many other data management tasks. The global AI market is seeing exponential growth.

Machine Learning 52

Machine Learning Data Mining Algorithm Data Science 52

U-Next

AUGUST 25, 2022

As per recent reports, Machine Learning, Deep Learning, Data Analysis, and Natural Language Processing are used by 48% of businesses worldwide to effectively use large data sets. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.

Data Science 52

Data Science Computer Science Recruitment Healthcare 52

ProjectPro

OCTOBER 28, 2021

If you think machine learning methods may not be of use to you, we reckon you reconsider that because, in May 2021, Gartner has revealed that about 70% of organisations will shift their focus from big to small and wide data by 2025. Creating your dataset through data mining and implementing machine learning algorithms over them.

Machine Learning 52

Machine Learning Programming Language Algorithm Datasets 52

Knowledge Hut

DECEMBER 27, 2023

But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. The Latest Big Data Statistics Reveal that the global big data analytics market is expected to earn $68 billion in revenue by 2025. Cons: Occupies huge RAM.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

FEBRUARY 1, 2022

Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil. ” — Clive Humby, 2006 Table of Contents What is a Data Science Case Study?

Data Science 52

Data Science Banking Datasets Machine Learning 52

ProjectPro

JULY 15, 2021

billion during 2021-2025. One of the critical areas you must consider is that the application will work and respond based on the data provided. You must maintain and improve the data quality at all times. Decision-making and support will be performed using data mining and feature extraction.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JUNE 6, 2025

Anomalies in data can occur due to technical glitches or other critical issues and, if not handled properly, can result in incorrect data analysis. You will first import the credit card fraud data and then perform exploratory data analysis. ggplot will help in visualizing the dataset.

Machine Learning 49

Machine Learning Project Banking Deep Learning 49

ProjectPro

JUNE 6, 2025

As businesses continue to show interest in leveraging their vast amounts of data, Hadoop projects are becoming increasingly important for organizations looking to extract insights and gain a competitive edge. What is Data Engineering ? Visualizing the given data using Tableau and AWS Quicksight.

Hadoop 40

Hadoop Project Media Big Data 40

ProjectPro

JUNE 24, 2021

Some amount of experience working on Python projects can be very helpful to build up data analytics skills. 1) Market Basket Analysis Market Basket Analysis is essentially a data mining technique to better understand customers and correspondingly increase sales.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

DECEMBER 14, 2021

Nearly 80% of industrial data is said to be ‘unstructured’ The global Business Intelligence market is forecasted to reach USD 33.3 billion by 2025 , according to a GlobalNewswire report. Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

JUNE 6, 2025

These projects not only help sharpen your data analysis and data visualization skills, but also prepare you for solving real-world problems across industries like business, finance, and retail. Here are some exciting project ideas and data analysis examples to help you apply theoretical knowledge and create impactful projects.

Data Analytics 40

Data Analytics Project Insurance Datasets 40