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 Engineering 52

Software Engineering Software Engineer Engineering IT 52

Knowledge Hut

MARCH 15, 2024

They also work together in teams, with the goal of building and updating software through programming. Here’s a more detailed breakdown of the responsibilities: You are incorporated into different ecosystems to learn and upgrade data science prototypes. You will lead the teams in implementing effective data mining techniques.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

ProjectPro

NOVEMBER 3, 2021

Access Job Recommendation System Project with Source Code Table of Contents How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias Step-2: Diversify your skills and keep them up to date Step-3: Build an attractive Project Portfolio Step-4: Start Small!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 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

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

ProjectPro

OCTOBER 6, 2021

GCP offers 90 services that span computation, storage, databases, networking, operations, development, data analytics , machine learning , and artificial intelligence , to name a few. Data Mining Applications using Google Cloud Platform Data Mining Applications have become highly essential to solve different real-world problems.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

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. But, most importantly, the problems are real word-related issues that can help you build an amazing profile as a data scientist.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

Knowledge Hut

AUGUST 16, 2024

Data Science is one of the fastest-growing, trending tech career tracks. With such a huge demand for the role, a lot of professionals and graduates are trying to step into this field to quench the demand and build lucrative careers. One reason for this is the higher demand for Data Scientists in the industry.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

JANUARY 22, 2024

Students learn to build, train and optimize models using Python, R, TensorFlow and other libraries. Business Analytics For those interested in leveraging data science for business objectives, these courses teach skills like statistical analysis, data mining, optimization and data visualization to derive actionable insights.

Data Science 52

Data Science Certification Education Programming 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

JANUARY 19, 2024

The scope of this specialization is vast, ranging from corporate finance to investment banking, portfolio management, risk management, & financial planning. You will learn about data management, data optimization, predictive modeling, & machine learning.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

ProjectPro

OCTOBER 3, 2016

(Source:[link] Have Your Cake And Eat It: Big Data Without Hadoop. Hadoop has gained popularity in the big data space for large scale data mining and building features like recommendations and personalizations that account for the profitability of a company.All this comes at the cost of Hadoop developers, lots of hardware and IT personnel.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

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

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. “Attend a conference or two, see what people are working on, what the challenges are, and what the atmosphere is.”- ”- said Galit Shmueli, Professor of Business Analytics at NTHU.

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

DECEMBER 7, 2016

Instead of understanding Hive vs. 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.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Building a ChatBot 3. Building a ChatBot It is difficult for small businesses to have a team of five or more members available 24/7 for the customers and solve their issues. Neural Networks 2.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

SEPTEMBER 25, 2023

In comparison to another applicant who hasn't shown the capacity or desire to advance their talents, the hiring manager might regard your portfolio and application more favorably. Your ability to organize and analyze data in Cloudera's CDH environment is demonstrated by your Cloudera Certified Associate Data Analyst accreditation.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

Knowledge Hut

FEBRUARY 7, 2023

They help spread data science work by getting non-expert data scientists into the model-building process, offering drag-and-drop interfaces. Proprietary (Often GUI-driven) Data Science Platforms Proprietary tools support a lot of use cases, including data science and model building.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

U-Next

SEPTEMBER 19, 2022

Professionals and power users leverage it to build entirely new models and BI reports. Power BI data models, reports, and dashboards are hosted online via SaaS. Power BI is a Microsoft Business Intelligence and data mining software package that includes several services. Data Management Gateway: . Data Scientist.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. 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). Source: Moneyexcel 4.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JUNE 17, 2016

Your big data skills with most endorsements will appear at the top of list providing the recruiters an indication on your expertise points in the Hadoop ecosystem. Link to your Projects Portfolio and GitHub Profile This is extremely important if you are a fresher.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

JULY 13, 2015

. “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 allows us to store data that we never stored before. ”-said Lee McGinty, Head of European Portfolio at JPMorgan.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

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

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 allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 11, 2021

The RDBMS can either be directly accessed from the data warehouse layer or stored in data marts designed for specific enterprise departments. Metadata contains information such as the source of data, how to access the data, users who may require the data and information about the data mart schema.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 12, 2016

It collects more than 20 terabytes of log data every day for sentiment analysis, event analytics, customer segmentation, recommendation engine and sending out real-time location based offers. PayPal is extensively leveraging customer’s transactional data and search data to enhance their predictive capabilities to surprising levels.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. This challenge aims to build a model that can best predict the future of a money-lending individual/firm. Crypto Forecasting Cryptocurrencies and blockchains are expected to be the future of the global economy.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

JANUARY 25, 2022

Exploratory data analysis (EDA) is crucial in determining data collection structure in a data science workflow, and PySpark can be used for exploratory data analysis and building machine learning pipelines. mllib.fpm- Frequent Pattern Matching has been an important topic in data mining research for years now.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 5, 2021

If you’d like to build models that can converse with people and learn human language, you can work in the field of NLP (Natural Language Processing). Companies need AI specialists who can build and deploy scalable models to meet growing industry demands. Building a Telegram Bot 2. Why AI Projects fail?

Project 52

Project Datasets Deep Learning Machine Learning 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

MAY 23, 2015

The main objective of leveraging big data at Walmart is to optimize the shopping experience of customers when they are in a Walmart store, or browsing the Walmart website or browsing through mobile devices when they are in motion. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. 10 Data Science Case Study Interview Questions and Answers Often, the company you are being interviewed for would select case study questions based on a business problem they are trying to solve or have already solved.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JULY 3, 2015

The combined potential of Apache Hadoop’s parallel processing of large datasets and HANA’s in-memory computing capabilities offers- Cost effective solutions for large scale data storage and processing of both structured , semi structured and unstructured data such as text, video,audio,web logs, and machine data.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. There is a need to build a dynamic pricing platform with retail analytics that can power millions of pricing decisions amongst the biggest retailers.

Retail 40

Retail Hadoop Big Data Data Mining 40