ProjectPro

FEBRUARY 8, 2016

It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools. The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

Knowledge Hut

MARCH 19, 2024

The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data. Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ).

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.)

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Knowledge Hut

FEBRUARY 12, 2023

Over the years, the demand for data science job opportunities in US has grown dramatically because various industries have realized the potential and applications of data science. Data scientists find their roles in retail, research and development, the pharmaceutical industry, healthcare, e-commerce, marketing, and finance.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

NOVEMBER 17, 2023

Real-world applications in sectors like finance, healthcare, and IoT demonstrate how these talents can be revolutionary. In the United States, the average Microsoft-certified Azure Data Engineer associate salary is $130,982. The tech industry is always evolving.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

JANUARY 19, 2022

The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization. Companies in various sectors are improving their big data and analytics operations, from healthcare to retail. In every case, data engineering is expected to be one of the most in-demand professions in 2022 and beyond.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). Patient's Sickness Prediction System Machine learning has been proven effective in the field of healthcare also.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MARCH 27, 2014

.” Image Credit : slideshare The growing enterprise importance in Hadoop and other big data technologies like Hive, Pig, HBase , MapReduce, Zookeeper, and Hcatalog is driving demand for increased number of Hadoop developer jobs and Hadoop administration jobs with healthy paying premiums.

Hadoop 40

Hadoop Big Data Java Data Mining 40

ProjectPro

AUGUST 13, 2021

Project Idea: As a beginner in solving classification problems, you can work on a healthcare dataset. The objective of this project would be to analyse the biological data of patients and predict whether a patient will suffer from heart disease or not. that are widely used in the Data Science community.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

APRIL 29, 2015

Big data success requires hadoop professionals who can prove their mastery with the tools and techniques of the Hadoop stack. The target audience is IT professionals with a background in analytics, data mining, business intelligence or data management, along with a knack for and interest in mathematics and statistics.

Hadoop 40

Hadoop Certification IT Big Data 40

ProjectPro

JULY 15, 2021

Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains. Banking applications and systems use such applications to protect information and data sets.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

AUGUST 5, 2021

If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. 3) Can one do Machine Learning projects in an Internship?

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

DECEMBER 21, 2023

The number of big data engineer career jobs is expected to increase by 33 percent between 2020-2030. This significant expansion is attributable to the fact that secure data infrastructure is required for firms to deploy data mining techniques and acquire meaningful insights.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

JUNE 28, 2023

As a BI analyst, you'll be working with various stakeholders from different departments of a business organization, and you will have to collaborate with them continuously, expressing data findings succinctly and clearly. You can build dashboards and visualisations, as well as present the data models you've created.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

ProjectPro

SEPTEMBER 26, 2021

The sales and marketing strategies implemented today follow the data patterns and trends identified by data professionals. Similarly, the construction sector is using Big Data to anticipate the one-site risks, weather patterns, etc., Some organizations may look for skills in Big Data management or specifically Apache Spark.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig. PREVIOUS NEXT <

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

A study at McKinsley Global Institute predicted that by 2020, the annual GDP in manufacturing and retail industries will increase to $325 billion with the use of big data analytics. In 2015, big data has evolved beyond the hype. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

JULY 7, 2021

Creating interesting and cool deep learning projects around the concepts you learned will help your data science portfolio stand out compared to other applicants and increase your chances of landing a job in the industry. It will also be a great value add to your data science or machine learning portfolio.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40