ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

JANUARY 18, 2024

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

JANUARY 18, 2024

Host: It is hosted by Google and challenges participants to solve a set of data science problems. Eligibility : Data science competition Kaggle is for everything from cooking to data mining. Eligibility : If you're interested in participating in the Driven Data Science Competition, you'll first need to register.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Utilize natural language data to draw insightful conclusions that can lead to business growth.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. Step-5: Advertise your Data Science Skills! That is primarily because the field of Data Science has quite a lot of subdomains to explore.

Portfolio 52

Portfolio Data Science Algorithm Machine Learning 52

ProjectPro

AUGUST 5, 2021

There are a variety of AI projects you can do to gain a grasp of these libraries. 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

RandomTrees

OCTOBER 18, 2024

GenAI utilizes data mining technologies to detect fraudulent transactions by studying various transacting behavior patterns. Data generation technologies are capable of preparing quite exhaustive financial statements and monitoring KPI and trend projections based on existing statistics.

Management 52

Management Finance Portfolio Data Mining 52

Knowledge Hut

JUNE 28, 2023

Hard Skills: In order to become a business intelligence analyst, you have to gain proficiency in data architecture, data mining, data warehousing, data modeling, data visualization, and data analysis techniques and software, along with programming languages such as Python, SQL, R, and others.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

ProjectPro

MAY 5, 2015

I got a lot of examples from their professional experience which definitely helped understand the relevance of the projects in the professional world." I was fortunate enough to get the chance to work on a Big Data project which involved deploying a Hadoop cluster and this helped me immensely. Camille St.

Big Data 40

Big Data Project Hadoop Java 40

Knowledge Hut

NOVEMBER 28, 2023

As a data engineer description, you must be ready to explore large-scale data processing and use your expertise and soft skills to ensure a scalable and reliable working environment. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1. Predictive Analytics 2.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 40

ProjectPro

DECEMBER 22, 2016

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 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

MARCH 16, 2015

Since then, there has been an exponential increase in data which has lead to an expenditure of $1.2 trillion towards healthcare data solutions in the Healthcare industry. McKinsey projects that the use of Big Data in healthcare can reduce the healthcare data management expenses by $300 billion -$500 billion.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

FEBRUARY 8, 2016

Upskill yourself for your dream job with industry-level big data projects with source code Dr. Michael Wu, chief scientist of San Francisco-based Lithium Technologies, describes descriptive analytics as -“The simplest class of analytics, one that allows you to condense big data into smaller, more useful nuggets of information.”

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

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Practicing diverse real-world hands-on cloud computing projects is the only way to master related cloud skills if you want to land a top gig as a cloud expert.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JULY 13, 2015

JPMorgan started off with open source Hadoop framework using a small Hadoop cluster but now it relies on the tiny elephant for making decisions about mission critical investment projects. “Hadoop's ability to store vast volumes of unstructured data allows the company to collect and store web logs, transaction data and social media data.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Knowledge Hut

FEBRUARY 12, 2023

Data science jobs for freshers in USA employ graduates from master programs in disciplines related to data science, a bachelor's degree holder in the relevant field can also land entry-level data science jobs in the US. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. The use of data has risen significantly in recent years.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

FEBRUARY 19, 2016

Table of Contents Why you should attend a Big Data Conference? 2016 is a big year for big data conferences across the globe. Click Here to Register for Data Science Conference. “Attend a conference or two, see what people are working on, what the challenges are, and what the atmosphere is.”-

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

Knowledge Hut

MARCH 15, 2024

Machine Learning Engineer Roles and Responsibilities After getting hired, you can expect the common duties while getting project briefings. By enrolling in this program, you will be able to work on real-world projects and build an attractive portfolio for an entry-level applicant.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

Knowledge Hut

NOVEMBER 17, 2023

Each of these languages has its specific use cases and advantages within the context of Azure Data Engineering. Tailor your learning and mastery based on the Azure services you'll be primarily working with and the requirements of your projects. The tech industry is always evolving.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 12, 2016

PayPal uses semi-structured data in Hadoop, for predetermined business intelligence and big data analytics projects and stores it in the cloud - so that PayPal employees across the globe can access it. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

DECEMBER 7, 2016

HBase- what is the difference between Hive and HBase, let’s try to understand what hive and HBase do and when and how to use Hive and HBase together to build fault-tolerant big data applications. Explore SQL Database Projects to Add them to Your Data Engineer Resume. Data model schema is sparse.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

MARCH 17, 2014

If you are convinced with the potential and strong power of big data, and still are a bit obscure on what it can really do for you and for your company then Big Data Analytics is something that you must leverage for profitable business decision making. Most of the big data projects instigate with the need to answer business questions.

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

ProjectPro

JUNE 17, 2016

ProjectPro has got you covered in this blog post, with all you need to know about your LinkedIn profile right from creating a spectacular LinkedIn summary to selling your big data accomplishments, Hadoop projects and Hadoop skills all in one go. People often confuse LinkedIn profile with an online resume but that’s not true.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

DECEMBER 21, 2023

You can also check out the Data Engineer Bootcamp Certification to take your data engineering skills to the next level. With its comprehensive course content and focus on hands-on learning and practical application, you will get the opportunity to work on real-world projects and gain valuable experience in the field.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

SEPTEMBER 6, 2023

Big data certifications are the best way to achieve that. Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. through real-time projects and case studies.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

JUNE 30, 2016

.” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner Gartner report on big data skills gap reveals that about 2/3 rd of big data skill requirements remains unfilled and only 1/3 are met. If you are looking for big leap in your career, then this is the best time to master big data skills.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

SEPTEMBER 26, 2021

You can also become a self-taught big data engineer by working on real-time hands-on big data projects on database architecture, data science, or data engineering to qualify for a big data engineer job. Big Data technologies are now being used in multiple industries and business sectors.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 19, 2024

The scope of this specialization is vast, ranging from corporate finance to investment banking, portfolio management, risk management, & financial planning. Graduates with this specialization can seek employment in a range of roles, including IT project management, systems analysis, business analysis, & technology consulting.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

Knowledge Hut

FEBRUARY 27, 2023

The more hands-on training you have on freelancing and internship projects or even part-time data engineer jobs in Singapore, the better chances you have to enter the more prominent companies as data engineers in Singapore. Below are some of the most common job titles and careers in data science.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

MARCH 15, 2016

These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis. Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JULY 3, 2015

Apache Hadoop Ecosystem can be leveraged in diverse way by using SAP HANA platform by integrating the power of SAP HANA’s in-memory capabilities and Hadoop’s distributed processing and mass data storage capabilities. Helps data mining of raw data that has dynamic schema (schema changes over time).

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40