Edureka

APRIL 17, 2023

In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. What is the Role of Data Analytics?

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Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

MAY 1, 2024

It is important to adapt and use whatever revolutionary technology comes our way and seems to be helpful in the specific scenario. It is essential to stay on top by knowing new algorithms, techniques, data mining algorithms, and so on. For example, AI will not replace a doctor. But AI can replace a doctor without AI knowledge.

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Algorithm Raw Data Computer Science Data Science 94

U-Next

AUGUST 25, 2022

And your capstone project for the year ought to be a move. Any topic that provides value or resolves a problem might be the subject of a project. The project concepts should ideally align with your career goals after college. Check out our favorite bunch of project ideas for engineering students that you should consider: 1.

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Project Engineering Medical Healthcare 40

Knowledge Hut

APRIL 26, 2024

Data is defin ed according to the problem it represents. Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights. A technology has no significance without data.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

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 Business Intelligence Data Mining 97

ProjectPro

OCTOBER 6, 2021

Flexera’s State of Cloud report highlighted that 41% of the survey respondents showed the most interest in using Google Cloud Platform for their future cloud computing projects. Beginner Level GCP Sample Projects Ideas 1. The entire data is split into chunks, and each chunk is managed using a highly protected encryption key.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Knowledge Hut

JULY 7, 2023

Software engineers can do research to learn about new technologies, approaches, and strategies for developing and maintaining complex software systems. Furthermore, AI-powered project management tools may aid in the planning and scheduling of projects, resource allocation, and risk management in the project.

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Software Engineer Software Engineering Engineering Data Mining 52

ProjectPro

DECEMBER 10, 2021

And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Chilly December is here!

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

NOVEMBER 28, 2023

They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies. Data Engineering will be prioritized in the coming years, and the number of data engineer jobs will continue to grow.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JANUARY 18, 2024

To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient. Full-stack refers to the skills required to complete a project where each component is treated as a stack.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

U-Next

SEPTEMBER 17, 2022

With the passage of the 1990s and the introduction of data mining , the need for a common methodology to integrate lessons learned intensified. Planning a data mining project can be structured using the CRISP-DM model and methodology. Data Understanding . The next phase is Data Understanding.

Data Mining 40

Data Mining Data Preparation Raw Data Data Science 40

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence is an elaborate concept that includes different aspects, like data mining, visualization, data analytics , and infrastructural practices to help make data-driven decisions. Analytic Skills Data analysis is a crucial task based on which the companies make the most significant decisions.

BI 52

BI Data Mining Business Intelligence Certification 52

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Keep tricks and tips handy.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

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

FEBRUARY 15, 2023

Presenting stories through data to help organizations make better, more informed decisions is a key responsibility of a data analyst. Typically, they have a bachelor's degree in a business-related discipline, such as information technology, business administration, or a closely related field.

Business Analyst 52

Business Analyst Data Mining Big Data Data 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

MARCH 15, 2024

These professionals are in extremely high demand in the market because of their core skill sets in the field of information technology. To become one of them, you must gather substantial knowledge in the areas of advanced mathematics, software engineering, and data analytics. What is Machine Learning?

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

Edureka

APRIL 17, 2023

Data mining and cleaning skills Data mining and cleaning skills are crucial for data analysts. Data mining involves identifying patterns and relationships in large datasets, while data cleaning involves removing errors, inconsistencies, and duplicates in the data.

Data Mining 40

Data Mining Data Analysis Recruitment Machine Learning 40

Knowledge Hut

JANUARY 18, 2024

To extract the data, they use algorithms and prediction models to retrieve the data required by the business and aid in data evaluation. While each project is unique, the following is the typical method for acquiring and evaluating data: Begin the discovery process by asking the appropriate questions.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

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

Knowledge Hut

MARCH 26, 2024

We'll focus on jobs expected to thrive in Canada, including in technology, healthcare, finance, and skilled trades. Sectors like technology, healthcare, renewable energy, artificial intelligence, and sustainable industries are doing particularly well, attracting skilled workers from all over the world.

Medical 52

Medical BI Programming Language Healthcare 52

Knowledge Hut

FEBRUARY 14, 2024

22 Lakh MBA In Human Resource 5.25 - 8 Lakh MBA In Business Analytics 6 - 18 Lakh MBA In Entrepreneurship 5 -20 Lakh MBA In Operations Management 5 -8 Lakh MBA In Information Technology 5 - 12 Lakh MBA In Event Management 1.5 - 18.5 These roles are in high demand in industries like Information Technology, Retail, Automobiles, and Hospitality.

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Hospitality Finance Healthcare Consulting 52

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. All the numbers presented above suggest that there will be a huge demand for people who are skilled at implementing AI-based technologies.

Coding 52

Coding Project Deep Learning Algorithm 52

U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Many types of Data Scientists with different specialties can help your business get the necessary solutions.

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Data Science Machine Learning Food Consulting 98

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

Knowledge Hut

APRIL 26, 2024

Known to be one of the most powerful and important technological advances in recent times, machine learning has already enabled us to conduct real-world calculations and analytics, something that would have taken years to solve through traditional computing.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Before sending off a project, check the details to avoid further misunderstandings.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

FEBRUARY 8, 2023

Apache Kafka is used for diverse use cases from real-time data processing to event sourcing. The Kafka technology works perfectly with dynamically changing data-driven businesses where large amounts of records need to be processed as they come in. Build a unique job-winning data engineer resume with big data mini projects.

Kafka 52

Kafka Banking Medical Healthcare 52

Knowledge Hut

MARCH 22, 2024

Demand and Benefits of MongoDB Careers Below, we explore the most impressive reasons why MongoDB careers present amazing chances and advantages in the current technology-based state. This exponential growth highlights the increasing need for MongoDB skills across many sectors, such as finance, healthcare, e-commerce, and technology.

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MongoDB Amazon Web Services Computer Science Education 52

U-Next

SEPTEMBER 23, 2022

Business Analytics is the process through which organizations analyze data using statistical techniques and technologies to gather knowledge and enhance their strategic decision-making. . Their work aids in improving comprehension of project requirements. Types of Business and Data Analytics . Descriptive Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

JANUARY 19, 2024

For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Importance: Efficient organization and retrieval of data. Consolidating data for a comprehensive view. Flexibility in storing and analyzing raw data. Data Mining Data mining is the treasure hunt of data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

JUNE 15, 2023

The demand for data engineers is high, and you can expect it to increase exponentially in the coming years. As per AIM (Analytics India Mag), the market is experiencing a huge projection in demand for data engineers. Even if someone joins the project at a later stage, they can check the modules and get hold of everything.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. So, if you are also one of them and are looking for projects in computer vision, then you are on the right page.

Project 40

Project Deep Learning Datasets Medical 40

Knowledge Hut

NOVEMBER 17, 2023

Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Each of these languages has its specific use cases and advantages within the context of Azure Data Engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JANUARY 22, 2024

Financial technology, popularly referred to as FinTech, is one of the fastest-growing areas of technological innovation and is popular with venture capitalists. FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers.

Data Science 52

Data Science Banking Big Data Insurance 52