Knowledge Hut

DECEMBER 26, 2023

Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)

Certification 95

Certification Java Google Cloud Education 95

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. Table of Contents Why use R on Hadoop?

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

NOVEMBER 30, 2021

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. If you are specifically looking for business analyst finance planning projects for beginners , this project will be a good start.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

FEBRUARY 24, 2016

However, some industries like Retail and Consumer goods, Banking and Finance, IT services, Travel, Transportation, Real-estate, and Manufacturing are experiencing higher demand and offer increasingly competitive salaries for skilled data scientists. 49% of data science job postings mention Hadoop as a must-have skill for a data scientist.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning. 21) What is an ROC curve?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52