ProjectPro

JUNE 6, 2025

It is subject-oriented and used to perform data mining, analytics, etc. What is Data Purging? Data purging is a method for permanently removing data from data storage. Data purging differs from data deletion in that it permanently deletes the data, whereas data deletion only eliminates it temporarily.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

Use the patient treatment classification dataset available on Kaggle for working on this project. You can analyze the dataset and apply predictive algorithms such as the K-Nearest Neighbor algorithm. Next, use the extracted data to determine who is more likely to be potential clients of the company. billion in 2028.

Project 73

Project Retail Banking Hospitality 73

ProjectPro

JUNE 6, 2025

The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. You will train and test the data model using the cross-validation method.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

ProjectPro

JUNE 6, 2025

It allows high-performance management of data using its powerful data structures. Pandas allow cleaning of messy datasets enabling them to be more readable and relevant. PySpark allows one to interface with Resilient Distributed Datasets (RDD’s) in Apache Spark and the Python programming language.

Java 53

Java Data Science Python Programming Language 53

ProjectPro

JUNE 6, 2025

Table of Contents Data Analysis Tools- What are they? Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Google Data Studio 10. Well, this blog will answer all these questions in one go! Power BI 4.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

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. But what if we fail to analyze or utilize it in any way?

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 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

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 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 analysis involves data cleaning.

Data Mining 40

Data Mining Data Cleanse Data Analysis Datasets 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. This can be done by building a strong data science portfolio.

Business Analyst 40

Business Analyst Portfolio Data Mining Programming Language 40

ProjectPro

JUNE 6, 2025

The low-cost storage feature of Hadoop allows you to store data, even unstructured data like text, photos, and video, and then figure out what to do with it later. You can use SAS for multiple tasks, including business intelligence , data visualization, data mining, predictive analytics, machine learning, etc.

Data Science 40

Data Science Hadoop Machine Learning Unstructured Data 40

ProjectPro

NOVEMBER 30, 2021

Data is the New Fuel. We all know this , so you might have heard terms like Artificial Intelligence (AI), Machine Learning, Data Mining, Neural Networks, etc. Oh wait, how can we forget Data Science? We all have heard of Data Scientist: The Sexiest Job of the 21st century. What is Data Mining?

Data Mining 52

Data Mining Machine Learning Data Science Algorithm 52

RandomTrees

MARCH 10, 2025

Using Data to Gain Future Knowledge In order to evaluate past data and forecast future events, predictive analytics makes use of statistical models, machine learning, and data mining. Cloud-Based Solutions: Large datasets may be effectively stored and analysed using cloud platforms.

Retail 52

Retail Data Governance Hospitality Banking 52

ProjectPro

JUNE 6, 2025

Data Analysis and Interpretation: The most crucial part of the data analyst’s job is analyzing data and drawing insightful conclusions. An aspiring data analyst must thus focus on building skills on interpretting various trends in the given dataset. to perform advanced analytical methods on a dataset.

Certification 40

Certification Data Mining Business Analyst BI 40

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 Datasets Banking Machine Learning 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

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. To overcome this issue, PaySim Simulator is used to create Synthetic Data available on Kaggle.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Image Source: Exploding Topics The global Artificial Intelligence market is expected to grow over $120B by 2025. Pre-trained models are models trained on an existing dataset. All you need to do is download the model and train on top of it with the available data. You can find an existing dataset of labeled faces on the Internet.

Deep Learning 59

Deep Learning Coding Project Portfolio 59

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. FAQs on Data Analyst Career Path Data Analyst Career Path- Unleashing the Job Trends and Salaries The big data market will likely be worth $229.4

Consulting 40

Consulting Healthcare Programming Language BI 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

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 Machine Learning Data Analysis 40

ProjectPro

JUNE 6, 2025

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc., The final step is to publish your work.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

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 Retail Raw Data 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. Using statistical tools on the given dataset to reveal insightful conclusions.

Machine Learning 45

Machine Learning Programming Language Datasets Algorithm 45

ProjectPro

JUNE 6, 2025

ELT is used for cloud-scale structured and unstructured data sources. Data lake support ETL doesn’t provide data lake support. ELT provides data lake support. Data volume ETL is Ideal for small datasets. ELT is ideal for large datasets. Explain the data cleaning process.

ETL Tools 40

ETL Tools Database-centric Data Warehouse ETL System 40

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. Using statistical tools on the given dataset to reveal insightful conclusions.

Machine Learning 52

Machine Learning Programming Language Datasets Algorithm 52

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

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 21, 2021

As per the Future of Jobs Report released by the World Economic Forum in October 2020, humans and machines will be spending an equal amount of time on current tasks in the companies, by 2025. You should train your algorithms with a large dataset of texts that are widely appreciated for the use of correct grammar.

Coding 52

Coding Project Deep Learning Algorithm 52

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. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. It is expected to increase by 11% in 2023 and 20% in 2025.

Data Science 52

Data Science Computer Science Recruitment Healthcare 52

ProjectPro

AUGUST 5, 2021

dollars by 2025. You can use the Resume Dataset available on Kaggle to build this model. This dataset contains only two columns — job title and the candidate’s resume information. The data is present in the form of text and needs to be pre-processed. Dataset: Kaggle Resume Dataset 2.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JUNE 6, 2025

COVID-19 Dataset Analysis and Prediction 5. You can use the Walmart dataset and use Python to predict sales of their stores. You will use a dataset tagged with a category for the questions that the business is likely to receive. Project Idea: As a beginner in solving classification problems, you can work on a healthcare dataset.

Machine Learning 70

Machine Learning Project Deep Learning Algorithm 70

ProjectPro

JUNE 6, 2025

Data Description The dataset contains the following information about the products purchased by different users. on different images in a dataset. Data Description: This project will use sample images and videos as input data. Data Description: The data is contained in two different CSV files.

Machine Learning 49

Machine Learning Project Banking Deep Learning 49

ProjectPro

JUNE 6, 2025

In the big data industry, Hadoop has emerged as a popular framework for processing and analyzing large datasets, with its ability to handle massive amounts of structured and unstructured data. This makes the data ready for visualization that answers our analysis. Analysis large datasets easily and efficiently.

Hadoop 40

Hadoop Project Big Data Media 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. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

JUNE 6, 2025

Here are some exciting project ideas and data analysis examples to help you apply theoretical knowledge and create impactful projects. 1) Market Basket Analysis Market Basket Analysis is a data mining technique that data scientists use to better understand customers and correspondingly increase sales. value_counts().plot(kind='bar',

Data Analytics 40

Data Analytics Project Insurance Datasets 40