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 Engineer 40

Data Engineer Data Engineering Recruitment Building 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

Weka's algorithms, known as classifiers, can be applied to data sets using a graphical user interface (GUI) or a command-line interface and can also be implemented using a Java API. Weka also integrates with R, Python, Spark, and other libraries like scikit-learn.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

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

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 Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

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 Hadoop 40

ProjectPro

JUNE 6, 2025

Parameter Data Engineer Data Analyst Data Scientist Primary Role Data preparation and gathering to construct and manage the entire data architecture Data analytics to discover the patterns and trends for effective data-driven decision-making Interpretation of the complex data and organization of the Big Data infrastructure Key Skills Data warehousing (..)

Big Data 40

Big Data Data Engineer Data Engineering Engineering 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. Skills may include statistical modeling, machine learning, and deep learning.

Business Analyst 40

Business Analyst Data Mining Portfolio Programming Language 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 Datasets Banking Machine Learning 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 Machine Learning Data Analysis 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

U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

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. Good knowledge of commonly used machine learning and deep learning algorithms. This dataset has two columns: text and language.

Coding 52

Coding Project Deep Learning Algorithm 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. It is expected to increase by 11% in 2023 and 20% in 2025. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce.

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

U-Next

DECEMBER 2, 2022

Using AI, prospective borrowers’ data can be analyzed to simplify most processes. . Managing customer data : In order to succeed in business, data management must be efficient. Data analysts, scientists, AI and machine learning specialists, and digital and marketing strategists will all be in high demand. .

Management 40

Management Recruitment Finance Data Mining 40

ProjectPro

AUGUST 5, 2021

dollars by 2025. FastAI is an open-source library that allows users to quickly create and train deep learning models for various problems, including computer vision and NLP. You can build a traffic jam prediction model using deep learning techniques in Python. However, this data isn’t always easy to get.

Project 52

Project Datasets Deep Learning Machine Learning 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. Data Mining — How did you scrape the required data ?

Data Science 52

Data Science Banking Datasets Machine Learning 52

ProjectPro

JUNE 6, 2025

Your task would be to use the dataset and run deep learning algorithms over to label it with either of the six following categories: buildings/forest/glacier/mountain/sea/street. Keras was designed to help data scientists effortlessly implement deep learning algorithms.

Machine Learning 70

Machine Learning Project Deep Learning Algorithm 70

ProjectPro

JUNE 6, 2025

With so many companies gradually diverting to machine learning methods , it is important for data scientists to explore MLOps projects and upgrade their skills. In this project, you will work on Google’s Cloud Platform (GCP) to build an Image segmentation system using Mask RCNN deep learning algorithm.

Machine Learning 49

Machine Learning Project Banking Deep Learning 49

ProjectPro

JUNE 6, 2025

What is Data Engineering ? Utilizing the Yelp Dataset Implementing Data Processing Tools Benefits of choosing an online system over a batch system. Hadoop-Based Deep Learning This project uses Hadoop for large-scale deep learning tasks. Repository Link: [link] 35.

Hadoop 40

Hadoop Project Big Data Media 40