What is data analytics?

Data analytics is the science and methodology of using qualitative and quantitative approaches to extracting valuable insights into data from big data sets. This process involves finding key data points, then categorizing the data to analyze connections, patterns, relationships, and other insights. Because data is used in almost every organization, data analytics is a key part of a company’s approach to learning more about its customers, competitors, market trends, and business processes. Data analytics is usually placed into four main sections—descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

Why is it valuable to learn data analytics?

Data analytics is valuable to learn because it helps businesses and organizations succeed in their work. Organizations can improve their business performance and increase efficiency as they uncover and learn about various business patterns through data analytics. Getting actionable answers from raw data is a big asset to companies, and is an in-demand business skill. When you learn data analytics, you could work in B2B and B2C commerce, manufacturing, finance, healthcare, and marketing companies, as they all use data analytics to gain better knowledge about their overall business, while improving processes and growing profits.

What are typical career opportunities that use data analytics?

Typical career opportunities that use data analytics are in jobs like a data analyst, quantitative analyst, data engineer, project manager, IT systems analyst, and many other similar roles involved in analyzing data. These roles are in high demand in technology companies, software agencies, large insurance companies, financial credit bureaus, consumer goods companies, financial firms, and cloud data companies. If you’re well-qualified, finding a career in data analytics isn’t difficult. But finding the right kind of company that knows what to do with data analytics effectively is important when working in this career.

How can taking online courses help me learn data analytics?

When you take online courses in data analytics, you could gain a clear understanding of the fundamentals of data analytics, the big data ecosystem, and key elements of data gathering and data mining. What you learn about data analytics in online courses may help you better understand databases and data warehouses and how to explore the various cloud data mining tools. You may also learn to effectively communicate the insights gleaned from data to internal teams. This could help you become a better decision-maker.

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「data analytics」の2811件の結果

Google
Google Data Analytics
習得できるスキル： Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, 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, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
（100.8k件のレビュー）
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Data Analyst
習得できるスキル： Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Business Analysis, Basic Descriptive Statistics, Data Structures, Data Science, Statistical Programming, Spreadsheet Software, Data Management, General Statistics, Plot (Graphics), SQL, Statistical Visualization, Databases, Microsoft Excel, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Data Analysis Software, Data Visualization Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Computer Programming, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science
4.6
（60.6k件のレビュー）
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Introduction to Data Analytics
習得できるスキル： Data Analysis, Data Management, Data Science, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Visualization, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Business Analysis, Data Visualization Software, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Professional Development
4.8
（10.1k件のレビュー）
Beginner · Course · 1-3 Months
IBM Skills Network
IBM Data Science
習得できるスキル： Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Statistical Visualization, Database Application, Extract, Transform, Load, Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Computer Programming, Database Administration, Geovisualization, Plot (Graphics), Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing
4.6
（105.9k件のレビュー）
Beginner · Professional Certificate · 3-6 Months
Google
Foundations: Data, Data, Everywhere
習得できるスキル： Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering
4.8
（73k件のレビュー）
Beginner · Course · 1-3 Months
IBM Skills Network
IBM Data Analytics with Excel and R
習得できるスキル： Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, Business Analysis, SQL, Exploratory Data Analysis, Data Mining, Data Visualization Software, Databases, Basic Descriptive Statistics, Statistical Visualization, General Statistics, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Spreadsheet Software, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science
4.7
（14.7k件のレビュー）
Beginner · Professional Certificate · 3-6 Months
無料
Duke University
Excel to MySQL: Analytic Techniques for Business
習得できるスキル： Data Analysis, Business Analysis, Probability & Statistics, Spreadsheet Software, General Statistics, Databases, Statistical Tests, Data Management, Database Administration, Database Theory, Data Visualization, Data Analysis Software, Probability Distribution, SQL, Data Warehousing, Database Application, Correlation And Dependence, Estimation, Forecasting, Regression, Statistical Analysis, Data Visualization Software, Basic Descriptive Statistics, Data Mining, Machine Learning, Big Data, Data Architecture, Business Intelligence, Financial Management, Microsoft Excel, Finance, Investment Management, Business Communication, Communication, Customer Analysis, Exploratory Data Analysis, Financial Analysis, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Research and Design, Data Model, Database Design, Tableau Software, Algebra, Bayesian Statistics, Combinatorics, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Entrepreneurship, Feature Engineering, Leadership and Management, Plot (Graphics), Problem Solving, Statistical Visualization, Strategy and Operations, Theoretical Computer Science, Interactive Data Visualization, Marketing, Risk Management
4.6
（14.9k件のレビュー）
Beginner · Specialization · 3-6 Months
IBM Skills Network
Data Analysis and Visualization Foundations
習得できるスキル： Data Analysis, Business Analysis, Spreadsheet Software, Data Visualization, Microsoft Excel, Data Management, Data Analysis Software, Data Science, Data Visualization Software, Plot (Graphics), Statistical Visualization, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Computer Programming, Extract, Transform, Load, Leadership and Management, Operating Systems, Professional Development, System Programming
4.7
（14.2k件のレビュー）
Beginner · Specialization · 3-6 Months
University of Pennsylvania
Business Analytics
習得できるスキル： Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science
4.6
（17.1k件のレビュー）
Beginner · Specialization · 3-6 Months

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要約して、data analytics の人気コース10選をご紹介します。

Google Data Analytics: Google
IBM Data Analyst: IBM Skills Network
Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
Introduction to Data Analytics: IBM Skills Network
IBM Data Science: IBM Skills Network
Foundations: Data, Data, Everywhere: Google
IBM Data Analytics with Excel and R: IBM Skills Network
Analyzing and Visualizing Data the Google Way: Google Cloud
Excel to MySQL: Analytic Techniques for Business: Duke University
Data Analysis and Visualization Foundations: IBM Skills Network

Data Analyticsに関するよくある質問

Data analytics is the science and methodology of using qualitative and quantitative approaches to extracting valuable insights into data from big data sets. This process involves finding key data points, then categorizing the data to analyze connections, patterns, relationships, and other insights. Because data is used in almost every organization, data analytics is a key part of a company’s approach to learning more about its customers, competitors, market trends, and business processes. Data analytics is usually placed into four main sections—descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.‎
Data analytics is valuable to learn because it helps businesses and organizations succeed in their work. Organizations can improve their business performance and increase efficiency as they uncover and learn about various business patterns through data analytics. Getting actionable answers from raw data is a big asset to companies, and is an in-demand business skill. When you learn data analytics, you could work in B2B and B2C commerce, manufacturing, finance, healthcare, and marketing companies, as they all use data analytics to gain better knowledge about their overall business, while improving processes and growing profits.‎
Typical career opportunities that use data analytics are in jobs like a data analyst, quantitative analyst, data engineer, project manager, IT systems analyst, and many other similar roles involved in analyzing data. These roles are in high demand in technology companies, software agencies, large insurance companies, financial credit bureaus, consumer goods companies, financial firms, and cloud data companies. If you’re well-qualified, finding a career in data analytics isn’t difficult. But finding the right kind of company that knows what to do with data analytics effectively is important when working in this career.‎
When you take online courses in data analytics, you could gain a clear understanding of the fundamentals of data analytics, the big data ecosystem, and key elements of data gathering and data mining. What you learn about data analytics in online courses may help you better understand databases and data warehouses and how to explore the various cloud data mining tools. You may also learn to effectively communicate the insights gleaned from data to internal teams. This could help you become a better decision-maker.‎