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. 5) useR Date : June 28- June 30, 2016 Location : Stanford University, California This big data conference is a yearly meeting of all users in the R Community.

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

Knowledge Hut

FEBRUARY 11, 2023

Tableau knowledge allows data analysts to handle data in various formats and answer business questions. An additional advantage of Tableau is its ability to interact with tools and platforms, such as R programming.  Adobe analytics Adobe Analytics is a comprehensive data analytics tool with extensive data coverage.

Retail 52

Retail Education Data Mining Healthcare 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

FEBRUARY 12, 2023

Data science professionals need this to create prototypes for random data sets with unknown results to fit into a model and give meaningful results with valuable implications. Predictive Modeling It is a data-mining technology used to create and predict future outcomes based on current and past data.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

MARCH 7, 2016

With the increasing surge in Big Data applications and solutions, a number of big data certifications are growing which aim at recognizing the potential of a candidate to work with large datasets. Professionals with big data certifications are in huge demand - commanding an average salary of $90,000 or more.

Big Data 40

Big Data Certification Hadoop Big Data Skills 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