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 15, 2024

At present, the average salary packages are much more lucrative, resulting in more interested candidates applying for these technical roles. 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

ProjectPro

DECEMBER 7, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Companies Using Apache Hive – Hive Use Cases Apache Hive has approximately 0.3% Scribd uses Hive for ad-hoc querying, data mining and for user facing analytics.

Technology 40

Technology NoSQL Hadoop Data Mining 40

Knowledge Hut

AUGUST 16, 2024

You can check out Data Science with Python Certification and Knowledgehut Data Science Training in Python to enhance your Data Science skills. One reason for this is the higher demand for Data Scientists in the industry. After Python, it is the language that is highly in demand for Data Science jobs.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

ProjectPro

JUNE 17, 2016

that are usually not present in a resume. A LinkedIn profile summary should be – Keyword Rich – Make sure that you read few Hadoop job descriptions to get an idea on the keywords that should be present in your summary. 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

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. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 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

ProjectPro

MAY 23, 2015

“Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Walmart uses data mining to discover patterns in point of sales data. Effective data mining at Walmart has increased its conversion rate of customers.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. After preprocessing, cleansing, and data transformation, you will visualize data in various Dashboards.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MAY 5, 2015

Omer Artificial Intelligence Researcher, Quora 'Most Viewed Writer in 'Data Mining' Dezyre Hadoop Training Review for the Batch May 10th, 2015 Karan is a good instructor, knowledgeable and very polite. As compared to the quiz, much of the presentation was too general. We all know there is big data out there. Camille St.

Big Data 40

Big Data Project Hadoop Java 40

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

JULY 21, 2021

All the numbers presented above suggest that there will be a huge demand for people who are skilled at implementing AI-based technologies. 15 NLP Projects Ideas to Practice Apart from the skills mentioned above, recruiters often ask applicants to showcase their Project portfolios. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

Knowledge Hut

SEPTEMBER 25, 2023

Strong communication skills: When a data analyst is successful in finding hidden insights inside a sizable data collection, the next step is to convey those insights to the relevant stakeholders. You should be able to effectively communicate with the prospective teams as a Data Analyst and present your results to them.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

APRIL 2, 2015

Retailers are gasping big data solutions through customer analytics to grow faster, increase profitability and win competitors rat race by personalizing their in-store and online product offerings. Below we present 5 most interesting use cases in big data and Retail Industry , which retailers implement to get the most out of data.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

AUGUST 13, 2021

We have presented a list of top machine projects on Github that utilise the datasets for Kaggle for implementing a machine learning project idea. Neural Networks Neural networks are one of the most widely used Machine Learning models by Data Scientists. that are widely used in the Data Science community.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 40

Knowledge Hut

JANUARY 22, 2024

Require commitment of time for commuting and being physically present for classes and assignments. Consider your learning style, networking needs, schedule and budget when choosing between online or in-person data science courses. Capstone projects involve analyzing company data to drive business strategy and decisions.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. Along with that, the movie also highlighted the socioeconomic differences that are usually present in most societies. Crypto Forecasting Cryptocurrencies and blockchains are expected to be the future of the global economy.

Data Science 52

Data Science Medical Machine Learning Algorithm 52

ProjectPro

AUGUST 11, 2021

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. Sales forecasting helps business owners get a clear idea of what products are in demand.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

FEBRUARY 1, 2022

Data science use cases can be found in almost every industry out there e-commerce, music streaming, stock market,etc. Data Mining — How did you scrape the required data ? you set up to source your data. Q: How would I identify holidays in the historical data provided?

Data Science 52

Data Science Datasets Banking Machine Learning 52

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. The data is present in the form of text and needs to be pre-processed.

Project 52

Project Datasets Deep Learning Machine Learning 52

Knowledge Hut

DECEMBER 21, 2023

The purpose of data engineering is to analyze data and make decisions easier. The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

JUNE 28, 2023

BI analysts collaborate closely with stakeholders from a range of departments, including finance, marketing, operations, and sales, to identify opportunities for improvement, track key performance metrics, and create data-driven company growth strategies. Be sure to draw attention to your involvement in each task and the outcomes obtained.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

Knowledge Hut

FEBRUARY 27, 2023

Online Data Science Bootcamp in Singapore Online Data Science Bootcamp in Singapore allows you to gather information about companies, markets, and the environment and analyze that information, which has added immeasurable value to the decision-making process. 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

JUNE 24, 2021

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Even data that has to be filtered, will have to be stored in an updated location.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

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. Every domain of machine learning presents its challenges and solutions.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

SEPTEMBER 26, 2021

Presentation Skills: Big Data Engineers also present the data-driven findings to the internal and external stakeholders. You should have good presentation skills to engage the customers and stakeholders in your presentations. Liverpool and London are the cities with excessive demands for Big Data Engineers.

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. There is a training dataset with about 7.4

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

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 Recruitment 40