Knowledge Hut

MAY 31, 2023

Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales. Excel or Google Sheets can clean and analyze data for charts and graphs. Python or R is good for advanced data analysis and statistical modeling, like looking for trends or making predictions.

Project 52

Project Datasets Media Python 52

Knowledge Hut

FEBRUARY 11, 2023

Data analysis is a part of the business development and innovation of superior products. Hence, the scope for data analysis is ever-growing. In addition, the data analyst plays a role in identifying potential possibilities for product and business development.

Retail 52

Retail Healthcare Education Data Mining 52

Knowledge Hut

JANUARY 24, 2024

Programming Support Compared to Power BI, Tableau integrates much better with R. Power BI supports Data Analysis Expression and the M language for data manipulation and modeling. Data Visualization Tableau allows its users to customize dashboards specifically for devices. BI projects.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

JUNE 30, 2023

5 (based on 476 ratings) Publisher: Manning Publications Book Info: Paperback: 328 pages Language: English Overview: Nathan Marz and James Warren's "Big Data: Principles and Best Practices of Scalable Realtime Data Systems" thoroughly discusses the principles and best practices of working with big data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

FEBRUARY 12, 2023

Science and technology are advancing by leaps and bounds, enabling us with more accurate methods and instruments to analyze data faster. The modern modalities of data science use novel tools designed using centuries-old mathematical principles. It involves complex calculations applied to data collected and refined to conclude.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

Knowledge Hut

OCTOBER 5, 2023

Specifically, the AWS Big Data Certification is for IT experts who want to gain experience and expertise working on AWS services and have 5 years of experience with Big Data technologies. Amazon AWS Learning in big data also extends to data management challenges like increasing volume and variations in data.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

Knowledge Hut

JANUARY 19, 2024

Big Data Technologies Handling large-scale datasets is a challenge addressed by Big Data Technologies. The syllabus should cover technologies such as Apache Hadoop and Spark, introducing concepts of distributed computing and parallel processing for effective big data management.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. Why Does Your Company Need a Data Science Platform?

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

NOVEMBER 30, 2021

Up-to-date knowledge of new technologies and methodologies. You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. Excellent verbal and written communication.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JUNE 17, 2015

To maintain a competitive edge in the market, organizations, strives to maintain IT staff that is well-honed with the latest tools and technologies so that they business does not suffer from skills gap. The top hiring technology trends for 2015 consists of boom for big data, organizations embracing cloud computing and need for IT security.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. According to a study, the Big Data market in the banking sector will reach $62.10 Healthcare is another primary application area of Big Data analytics , and its market will touch $67.82 billion by 2025.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 20, 2022

These two sectors have spurred technological advancements and a rising career path. By employing machine learning technology, Pinterest collects and analyzes existing content to present relevant information to the users. Twitter’s personalized timeline is another exciting example of machine learning technology.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

NOVEMBER 10, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Educational Requirements for a Hadoop Developer Hadoop is a technology that needs to be mastered on its own. 10.10% of Hadoop developers are graduates or post graduates from Information Technology background.

Hadoop 52

Hadoop NoSQL Java Electronics 52

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. The salary of a data scientist usually increases in the first few years.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 22, 2016

We have collected a library of solved Data Science use-case code examples that you can find here. 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 Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40