ProjectPro

FEBRUARY 19, 2016

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

MARCH 7, 2016

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. It might seem redundant to you.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

JUNE 30, 2023

Acquire first-hand experience in learning Python packages for data processing and analysis. Big Data: Principles and best practices of scalable real-time data systems Big Data: Principles and Best Practices of Scalable Realtime Data Systems is an excellent resource for anyone who wants to learn the fundamentals of working with big data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 16, 2023

Why Use Azure for Data Science? Data Science is heavily reliant on computing resources. Building Machine Learning (ML) or Artificial Intelligence ( AI ) models, requires work on big data. The computing needs to manage the big data is costly if we decide to set up an on-premises server and computing capabilities.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

Knowledge Hut

MAY 2, 2024

Thus, the demand for machine learning programmers who have extensive knowledge on working with complex mathematical calculations and applying them to big data and AI is growing year after year. Machine Learning – Processes Besides algorithms, machine learning offers many tools and processes to pair best with big data.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

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

NOVEMBER 10, 2016

Having worked your way up in the IT totem pole in the same job role, you have decided this is the best to find new horizons, new environment and a new gig in the big data domain. Becoming a Hadoop Developer – Career Outlook Dice survey revealed that 9 out of 10 high paid IT jobs require big data skills.

Hadoop 52

Hadoop NoSQL Java Electronics 52

ProjectPro

FEBRUARY 6, 2023

Learn about the significance of R programming language wirh these data science projects in R with source code. Access Data Science and Machine Learning Project Code Examples FAQs on Stemming in NLP 1) What is the difference between Lemmatization and Stemming?

Algorithm 52

Algorithm Programming Language Python Machine Learning 52

Edureka

FEBRUARY 1, 2023

Other topics covered include performance measurement tools like Balanced Scorecard (BSC) and contemporary approaches such as ‘big data analysis. It provides guidance on how these concepts can be applied practically to identify trends in employee performance or turnover rate.

Certification 52

Certification Recruitment Programming R (Programming) 52

ProjectPro

SEPTEMBER 27, 2021

Before we start with the project ideas, here are a few simple tutorials that you should go through to understand how simple it is to use them in Python and R programming languages. How to find correlations among feature variables in R? How to drop out highly correlated features in Python?

Datasets 52

Datasets Finance Portfolio Banking 52

ProjectPro

JULY 8, 2015

Why is now the best time to learn about trending software technologies in -Big Data, Web Development and Mobile App Development? It’s time for the investments to payoff through data science - by extracting knowledge from data.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

ProjectPro

FEBRUARY 5, 2022

Time Series Analysis Project in R on Stock Market forecasting Time series methods are used by stock market traders to predict the stock prices of a specific company by analyzing their previous records. This project is a fun time series analysis project to understand the application of various time series models in the R programming language.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

SEPTEMBER 6, 2021

Deep learning solutions using Python or R programming language can predict fraudulent behavior. Machine learning with Big Data and other AI technologies can make digital marketing activities seamless and easier to execute. Marketing applications and use cases of Machine Learning are endless.

Machine Learning 52

Machine Learning Retail Healthcare Medical 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

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. For professionals aiming to earn biggest bucks in the fastest growing industry, they need to become big data experts. People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here

Cloud Computing 40

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

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52

BI Project Business Intelligence Datasets 52

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

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. A senior business analyst is often expected to possess knowledge of Big Data tools.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JANUARY 20, 2022

Fundamentals Programming with Python/R The programming skills needed to understand machine learning are determined by how you intend to use it. Building machine learning models demands coding to handle big data, fine-tuning a model, etc., to test and optimize your model. Is machine learning a good career path ?

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

JANUARY 6, 2022

It generates a dynamic and informative plot to represent your data, making it simple for the user to comprehend and view the information on the app. The seaborn library employs static aggregation for plot generation for data visualization with Python.

Python 52

Python Datasets Programming Language Data Science 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on AWS Amazon Web Services (AWS) provides a dizzying array of cloud services, from the well-known Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform as a service (PaaS) offering covering almost every aspect of modern computing.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

DECEMBER 22, 2016

We have collected a library of solved Data Science use-case code examples that you can find here. Identify any duplicates and validate the accuracy of the data as this will save lot of time during analysis. What is the most difficult data analysis problem that you have solved till date? We add new use-cases every week.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What do the four V’s of Big Data denote? Give example.

Hadoop 40

Hadoop Big Data Metadata Java 40