What are big data analytics, and why are they important to learn about?

Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making. Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.

What kinds of careers can I get with a background in big data analytics?

Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science. Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor , data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.

Can I learn about big data analytics by taking online courses on Coursera?

Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.

What skills or experience do I need to already have before learning about big data analytics?

Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.

What kind of people are most suited for work in big data analytics?

The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.

How do I know if learning big data analytics is right for me?

If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.

Обзор
Big Data Analytics

Фильтр

Результатов для запроса ''big data analytics': 403

Google
Google Data Analytics
Получаемые навыки: Algorithms, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Ggplot2, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development
4.8
(рецензий: 70k)
Beginner · Professional Certificate · 3-6 Months
University of California San Diego
Big Data
Получаемые навыки: Algorithms, Apache, Apache Spark, Big Data, Business Analysis, Computer Architecture, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Model, Data Visualization, Data Warehousing, Database Administration, Databases, Distributed Computing Architecture, Exploratory Data Analysis, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Mathematics, Mongodb, NoSQL, PostgreSQL, Probability & Statistics, Python Programming, Regression, SQL, Statistical Classification, Statistical Programming, Theoretical Computer Science
4.5
(рецензий: 13.3k)
Beginner · Specialization · 3-6 Months
IBM Skills Network
Introduction to Data Analytics
Получаемые навыки: Data Warehousing, General Statistics, NoSQL, Professional Development, Analytics, Data Mining, Databases, Data Analysis, Data Management, Big Data, Data Structures, Data Visualization Software, Business Analysis, Data Visualization, Extract, Transform, Load, Analysis, Leadership and Management, Apache
4.8
(рецензий: 7.5k)
Beginner · Course · 1-3 Months
Universitat Autònoma de Barcelona
Big Data – Introducción al uso práctico de datos masivos
Получаемые навыки: Accounting, Advertising, Algorithms, Apache, Apache Spark, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Business Intelligence, Business Psychology, Cloud Computing, Cloud Platforms, Communication, Computer Architecture, Data Analysis, Data Analysis Software, Data Management, Data Structures, Data Visualization, Data Visualization Software, Databases, Dimensionality Reduction, Distributed Computing Architecture, Financial Analysis, General Statistics, Graph Theory, Human Resources, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, NoSQL, Plot (Graphics), Probability & Statistics, Regression, Research and Design, SQL, Scientific Visualization, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science, Training, Visual Design, Visualization (Computer Graphics)
4.6
(рецензий: 2.6k)
Beginner · Specialization · 3-6 Months
University of Colorado Boulder
Advanced Business Analytics
Получаемые навыки: Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Business Analytics, Cloud Computing, Computer Vision, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Clustering Algorithms, Data Management, Data Visualization, Databases, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Optimization, Mathematical Theory & Analysis, Modeling, Plot (Graphics), Probability & Statistics, Regression, SQL, Simulation, Spreadsheet Software, Statistical Analysis, Statistical Programming, Theoretical Computer Science
4.6
(рецензий: 4.8k)
Intermediate · Specialization · 3-6 Months
The University of Sydney
Using clinical health data for better healthcare
Получаемые навыки: Databases, Safety, Innovation, Ethics, Resource, Database Administration, Probability & Statistics, Health Care, Big Data, Business Analysis, Statistical Analysis, Data Analysis, Data Management, Data Visualization, Research and Design, Microsoft Excel, Patient, Health System, General Statistics, Electronics, Entrepreneurship, Analysis, Clinical Data Management, Leadership and Management
4.7
(рецензий: 85)
Beginner · Course · 1-4 Weeks
Бесплатно
Arizona State University
Big Data MasterTrack® Certificate
Получаемые навыки: Data Management, Security, Security Engineering, Architecture, Operating Systems, Network Security, Software, Bayesian Network, Algorithms, Journalism, Software Architecture, Computer Vision, Data Analysis, Computer Programming, Mobile Development, Data Mining, Tableau Software, Theoretical Computer Science, Computer Networking, Software Testing, Statistical Programming, Communication, Data Visualization, System Security, Software Engineering, General Statistics, BlockChain, Feature Engineering, Probability & Statistics, Databases, Machine Learning, Finance, Entrepreneurship
Предлагаются зачетные единицы
Mastertrack · 6-12 Months

Результаты поиска, связанного с big data analytics

大數據分析：商業應用與策略管理 (big data analytics: business applications and strategic decisions)

graph analytics for big data

big data analytical platform on alibaba cloud

big data analysis with scala and spark

big data analysis with scala and spark (scala 2 version)

big data analysis to a slide presentation

big data analysis deep dive

modern big data analysis with sql

10 самых популярных курсов по запросу big data analytics

Google Data Analytics: Google
Big Data: University of California San Diego
Introduction to Data Analytics: IBM Skills Network
Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
Advanced Business Analytics: University of Colorado Boulder
Introduction to Big Data: University of California San Diego
Introduction to Big Data with Spark and Hadoop: IBM Skills Network
Big Data Analysis to a Slide Presentation: Google Cloud
Foundations for Big Data Analysis with SQL: Cloudera
Using clinical health data for better healthcare: The University of Sydney

Навыки, которые вы можете получить здесь: Machine Learning

Программирование На Языке Python (33)

TensorFlow (32)

Глубокое Обучение (30)

Искусственная Нейронная Сеть (24)

Большие Данные (18)

Статистическая Классификация (17)

Обучения С Подкреплением (13)

Алгебра (10)

Байесовский (10)

Линейная Алгебра (10)

Линейная Регрессия (9)

NumPy (9)

Часто задаваемые вопросы на тему Big Data Analytics

Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making.
Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.‎
Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science.
Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎
Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.‎
Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.‎
The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.‎
If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.