Knowledge Hut

MAY 23, 2024

It helps companies understand data and obtain meaningful insights from it. According to the GlobeNewswire report , the projected growth of the data science market will hike up to a CAGR of 25 percent by 2030. With the increase in the demand for data science, job opportunities are also exponentially high.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Architecture 52

Architecture Database-centric Process BI 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop can store data and run applications on cost-effective hardware clusters.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. Using Big Data, they provide technical solutions and insights that can help achieve business goals.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JUNE 10, 2024

It provides a comprehensive set of tools for Data Mining, Machine learning, and Natural Language Processing. It also supports both vectorized and parallel computing, which is essential for working with large datasets. It is an ideal choice for those who are just getting started with data science.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

DECEMBER 21, 2023

This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed. To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

OCTOBER 29, 2021

How then is the data transformed to improve data quality and, consequently, extract its full potential? Data Preprocessing to the rescue! Table of Contents What is Data Preprocessing? This is why we will get back to the über important topic of improving data quality by preprocessing in the later section.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

JUNE 15, 2023

Every business unit, including marketing , production, and finance, uses data to make significant decisions and carry out its operations. That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

ProjectPro

JANUARY 24, 2023

SpaCy SpaCy is an open-source library in Python that is used for completing Natural Language Processing (NLP) tasks. As per its official website, SpaCy supports about 72+ languages and can handle large textual datasets fluently. This means the dataset is never loaded in the system’s RAM.

Python 52

Python Project Programming Language Data Mining 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Work closely with software engineers and data scientists. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

ProjectPro

JANUARY 19, 2022

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., Who should take the certification exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

JANUARY 18, 2024

By automating processes such as data quality checks and version control, DataOps can improve the accuracy and efficiency of data analytics while also reducing errors. For instance, automating data cleaning and transformation can save time and reduce errors in the data processing stage.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

ProjectPro

JUNE 18, 2021

Python is used heavily in the backend to process the data. Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. Many top companies like Spotify, Uber, continue to use Java along with Python to host business-critical data science applications.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

DECEMBER 21, 2021

Good knowledge of probabilistic topics such as conditional probability, Bayes rule, likelihood, Markov Decision Processes, etc., Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

DECEMBER 7, 2021

4) Data Visualization The data analysis process includes more than just extracting useful insights from data. Focus on showcasing the following while compiling your portfolio and considering what kind of projects to include: 1) The potential to collect (or "scrape") relevant data from several sources.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

JUNE 24, 2021

More and more industries are now realising the importance of making use of data analytics and using the data available to them for their benefit. The amount of data to be processed is only expected to grow and larger amounts of data implies that more people will be required to handle processing of this data.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Databand.ai

DECEMBER 20, 2022

Her primary skills include data science, decision science, strategy, and process architecture, with expertise in statistics, decision theory, machine learning, artificial intelligence, experimental game theory, industrial organization, behavioral economics, psychology, and neuroscience.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

SEPTEMBER 6, 2023

Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Consequently, we see a huge demand for big data professionals.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

SEPTEMBER 6, 2023

You will learn about Python, SQL, statistical modeling and data analysis. This course covers a wide range of Machine Learning algorithms varying from simpler to complex concepts like decision trees and random forests to Natural language processing and Neural Networks. Expiration - No expiry 5. Expiration - No expiry 6.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JULY 21, 2021

One such sub-domain of AI that is gradually making its mark in the tech world is Natural Language Processing (NLP). Method: The first step to start designing the Sentiment Analysis system would involve performing EDA over textual data. All this has become possible thanks to the AI subdomain, Natural Language Processing.

Coding 52

Coding Project Deep Learning Algorithm 52

U-Next

AUGUST 11, 2022

It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. Why Should You Pursue A Career In Artificial Intelligence?

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Problem Statement With increasing number of ecommerce businesses, there is a need to track and analyse clickstream data.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 26, 2021

Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data. Explore and analyze images through Image Processing Techniques and come up with relevant conclusions. Deep understanding of Data Structures and algorithms.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JUNE 9, 2021

Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions. In contrast, Data Engineering consists of creating pipelines to extract and process data to generate valuable business insights. Who is a Data Scientist?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. A master's degree or a doctorate is desirable.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Natural Language Processing (NLP) 5. Quite similar to classification is clustering but with the minor difference of working with unlabelled data. Clustering defines the process of grouping together identical objects into individual clusters. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. The data may be accessed to issue reports or to find any hidden patterns in the data.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

FEBRUARY 7, 2023

Typically, data science projects involve using an abundance of ls (eg. incorrect, incomplete, inaccurate, irrelevant parts) to be identified in each step of the data analysis, cleaning, and modeling process. Centralize data resources Data Science Platforms have a unified location for all work.

Data Science 52

Data Science Google Cloud AWS Programming Language 52