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

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''data analytics'的 2198 个结果

University of Maryland, College Park
Interviewing and Resume Writing in English
您将获得的技能： Agile Software Development, Apache, Budget Management, Business Analysis, Business Psychology, Communication, Computer Architecture, Computer Programming, Creativity, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Distributed Computing Architecture, Email, Emotional Intelligence, Entrepreneurship, Finance, Human Resources, Leadership and Management, Machine Learning, Marketing, Natural Language Processing, Networking Hardware, Other Programming Languages, Research and Design, Sales, Software Architecture, Software Engineering, Strategy, Strategy and Operations, Theoretical Computer Science, Writing
4.6
（618 条评论）
Intermediate · Specialization · 3+ Months
IBM
IBM Machine Learning
您将获得的技能： Advertising, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Journalism, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain and Logistics, Theoretical Computer Science
4.6
（902 条评论）
Intermediate · Professional Certificate · 3+ Months
DeepLearning.AI
Practical Data Science
您将获得的技能： Algorithms, Amazon Web Services, Cloud Computing, Computer Programming, Computer Programming Tools, Data Analysis, Data Analysis Software, Data Management, Deep Learning, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Machine Learning, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Programming, Theoretical Computer Science
4.6
（304 条评论）
Advanced · Specialization · 1-3 Months
University of Washington
Machine Learning
您将获得的技能： Algorithms, Applied Machine Learning, Business Analysis, Business Psychology, Computational Logic, Computational Thinking, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Structures, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Estimation, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Classification, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.6
（15.6k 条评论）
Intermediate · Specialization · 3+ Months
Meta
Meta Social Media Marketing
您将获得的技能： Advertising, Brand Management, Budget Management, Business Communication, Communication, Computer Networking, Data Analysis, Database Administration, Databases, Digital Marketing, Entrepreneurship, Experiment, Finance, Influencing, Leadership and Management, Market Research, Marketing, Measurement, Media Market, Network Security, Probability & Statistics, Public Relations, Research and Design, Security Engineering, Security Strategy, Social Media, Social Media Marketing, Software Engineering, Software Security, Software Testing, Writing
4.8
（9.9k 条评论）
Beginner · Professional Certificate · 3+ Months
Digital Marketing Institute
Social Media Marketing in Practice
您将获得的技能： Advertising, Brand Management, Business Psychology, Communication, Culture, Design and Product, Digital Marketing, Entrepreneurship, Influencing, Leadership and Management, Market (Economics), Market Analysis, Marketing, Marketing Strategy, Media Market, Planning, Product Design, Project Management, Public Relations, Sales, Social Media, Social Media Marketing, Software Architecture, Software Engineering, Strategy, Strategy and Operations, Supply Chain and Logistics, Theoretical Computer Science, Web Design, Web Development
4.5
（107 条评论）
Beginner · Specialization · 3+ Months
Google Cloud
From Data to Insights with Google Cloud
您将获得的技能： Bigquery, Cloud Computing, Computer Architecture, Data Analysis, Data Management, Data Visualization, Database Administration, Databases, Design and Product, Distributed Computing Architecture, Entrepreneurship, Full-Stack Web Development, Leadership and Management, Machine Learning, Market Research, Marketing, Product Management, Product Marketing, Research and Design, SQL, Sales, Statistical Programming, Strategy and Operations, Web Development
4.6
（4k 条评论）
Beginner · Specialization · 3+ Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
您将获得的技能： Apache, Applied Machine Learning, Big Data, Bigquery, Cloud Computing, Cloud Storage, Computer Architecture, Computer Programming, Data Lake, Data Management, Databases, Deep Learning, Distributed Computing Architecture, Feature Engineering, Full-Stack Web Development, Google Cloud Platform, Hardware Design, Machine Learning, Python Programming, Statistical Programming, Theoretical Computer Science, Web Development
4.6
（16.6k 条评论）
Intermediate · Professional Certificate · 3+ Months
New York Institute of Finance
Supply Chain Finance and Blockchain Technology
您将获得的技能： Account Management, Accounting, Accounts Payable and Receivable, Banking, BlockChain, Chaining, Entrepreneurship, Facility Management, Finance, Investment Management, Market (Economics), Market Research, Operations Management, Payments, Procurement, Regulations and Compliance, Research and Design, Sales, Scaling, Strategy and Operations, Supply Chain, Supply Chain Systems, Supply Chain and Logistics
4.5
（299 条评论）
Intermediate · Specialization · 3+ Months

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总之，这是我们最受欢迎的 data analytics 门课程中的 10 门

Interviewing and Resume Writing in English: University of Maryland, College Park
IBM Machine Learning: IBM
Practical Data Science: DeepLearning.AI
Machine Learning: University of Washington
Meta Social Media Marketing: Meta
Social Media Marketing in Practice: Digital Marketing Institute
From Data to Insights with Google Cloud: Google Cloud
Introduction to Data Analytics: Meta
Learn English: Advanced Academic Speaking and Listening: University of California, Irvine
Google Data Analytics (DE): Google

关于 Data Analytics 的常见问题

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.‎