Cloudera

OCTOBER 26, 2021

Using Cloudera Machine Learning, the world’s first hybrid data cloud machine learning tooling, let’s take a deep dive into the world of candy analytics to answer the tough question on everyone’s mind: How do we win Halloween? So many factors go into obtaining the best possible candy portfolio. Photo Credit: Candystore.com.

Data Mining 104

Data Mining Portfolio Machine Learning Data Science 104

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

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

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! Step-7: Keep Learning!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

Knowledge Hut

MARCH 15, 2024

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. You will lead the teams in implementing effective data mining techniques. You can consider checking out the advanced KnowledgeHut Machine Learning course syllabus.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 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

OCTOBER 6, 2021

Data Mining Applications using Google Cloud Platform Data Mining Applications have become highly essential to solve different real-world problems. Check Out Top SQL Projects to Have on Your Portfolio It also uses Cloud Pub/Sub to receive notifications when data is uploaded in the Cloud Storage Bucket.

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. This data science event is held on a free platform for making and openly sharing data visualizations online.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

Knowledge Hut

NOVEMBER 17, 2023

In the United States, the average Microsoft-certified Azure Data Engineer associate salary is $130,982. Any Company wishing to employ data mining techniques and derive valuable insights needs a secure data infrastructure, which frequently accounts for this large rise.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 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

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 Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

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. It is a multi-purpose and object-oriented programming language that is very easy to learn.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 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 Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

OCTOBER 3, 2016

Now, in the era of big data, Hadoop has inspired the growth of its ecosystem with powerful front ends and extensions like -Lens, Twill, Kylin, etc.Apache Hadoop ecosystem is growing rapidly. Source:[link] Have Your Cake And Eat It: Big Data Without Hadoop. The awareness of Big Data and the progress towards it has grown immensely.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 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

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

Knowledge Hut

JANUARY 22, 2024

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. Capstone projects involve analyzing company data to drive business strategy and decisions.

Data Science 52

Data Science Certification Education Programming 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 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

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. A profession in data analytics can be pursued with the help of the extensive training offered by the boot camp.

Certification 52

Certification Business Analyst Big Data Data Analysis 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

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

U-Next

SEPTEMBER 19, 2022

Power BI is a Microsoft Business Intelligence and data mining software package that includes several services. The Data Catalog option allows you to search and reuse searches. Data Management Gateway: . This component handles data updates regularly and data feed reading. PMO – Project and Portfolio Manager.

BI 40

BI Business Intelligence Datasets Retail 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

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

AUGUST 13, 2021

Official GitHub Repository: OpenCV: Open Source Computer Vision Library Recommended Reading: 25 Computer Vision Engineer Interview Questions and Answers 15 Data Mining Projects Ideas with Source Code for Beginners Why should you use GitHub? that are widely used in the Data Science community.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JULY 21, 2021

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. They do so in order to have an idea of how good you are at implementing NLP algorithms and how well you can scale them up for their business.

Coding 52

Coding Project Deep Learning Algorithm 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

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. If you have come across any other interesting big data use cases at PayPal or any other leading payment companies-share with us in comments below!

Big Data 52

Big Data Data Analytics Hadoop Algorithm 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

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

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

Knowledge Hut

FEBRUARY 7, 2023

Centralize data resources Data Science Platforms have a unified location for all work. Handle very large amounts of structured and unstructured data They help in the smooth handling of large GBs of data 4. No code options Even people with no coding knowledge can work on these platforms with the help of no-code tools 6.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

ProjectPro

OCTOBER 18, 2021

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). To build an outstanding portfolio, here are some of the essential points associated with the ML project that you have to showcase.

Machine Learning 52

Machine Learning Project Datasets 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

JANUARY 25, 2022

mllib.fpm- Frequent Pattern Matching has been an important topic in data mining research for years now. Frequent pattern matching is often among the initial steps in analyzing a large-scale dataset, mining recurring items, itemsets, subsequences, or other components.

Big Data 52

Big Data Data Process Process Kafka 52

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. All this results in huge amounts of Big Data being generated which can be leveraged through Retail Analytics to get a precise view of demand and sales volume.

Retail 40

Retail Hadoop Big Data Data Mining 40