Analytics is the system of applying certain methods and techniques to understand the performance of data, generally in an organization or industry. The application of analytics can be used to uncover and interpret relevant patterns of data, which can be later used to make better decisions. Analytics relies on good data as part of its usefulness, as well as the aspects of statistics, computer programming, and operations research to quantify performance. Analytics exists in business when companies use statistics and software processes in assessing how a particular product, service, or project measures up in scope. Businesses perform analytics to pinpoint strengths, identify challenges or weaknesses that may exist, and pull out key data points to help make decisions regarding future growth for the organization.

Learning analytics is a key skill that helps you solve problems to existing challenges. When you use analytics tools to research data patterns, you use methods of analyzing performance characteristics that are essential to a business organization. This is important in today's world of big data. Understanding analytics can make you a valuable asset when assessing areas rich with recorded information, performance indicators, and target goals.

What are typical careers that use analytics?

Analytics is found in a wide range of careers, including business analyst, budget analyst, financial controller, data scientist, and operations researcher. Individuals who move into these and other careers in data analytics often work with raw data and algorithms through mechanical processes to make assumptions and theories. Essentially, with knowledge of analytics, you can move into a job that requires a familiarity with numeric relationships, data structures, and trends and metrics relevant to an organization.

How can taking online courses on Coursera help me learn analytics?

When you take online courses in analytics, you can gain a new understanding of key concepts like data analysis and visualization, mathematical optimization, regression analysis, predictive modeling, and other areas focused on business analytics. Taking online courses about analytics can help you achieve basic data literacy to help you make more informed decisions in any area you work in, like finance, operations, or marketing. As you branch out, you may advance your analytics understanding to include how to extract and manipulate data points, how to use different statistical analysis methods to break down the data, and how to eventually interpret and present your findings.

What are the benefits of taking an online Analytics course?

Online Analytics courses offer a convenient and flexible way to enhance your existing knowledge or learn new Analytics skills. With a wide range of Analytics classes, you can conveniently learn at your own pace to advance your Analytics career.

What Analytics courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Analytics Courses - Learn Analytics Online

Explore the Analytics Course Catalog

Status: Free Trial
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Generative AI: Enhance your Data Analytics Career
Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Prompt Engineering, ChatGPT, Data Ethics, Data Visualization Software, SQL, Python Programming, Query Languages
4.7
Rating, 4.7 out of 5 stars
115 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Google
Share Data Through the Art of Visualization
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Web Content Accessibility Guidelines
4.6
Rating, 4.6 out of 5 stars
9.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google
Attract and Engage Customers with Digital Marketing
Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Google Ads, Online Advertising, Target Audience, Digital Marketing, Digital Advertising, Persona Development, Web Analytics and SEO, Keyword Research, Pay Per Click Advertising, Marketing, Customer Engagement, Customer Acquisition Management, Advertising, Marketing Strategies, Lead Generation
4.8
Rating, 4.8 out of 5 stars
7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data
4.6
Rating, 4.6 out of 5 stars
19K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Introduction to Data Analytics in Google Cloud
Skills you'll gain: Cloud Infrastructure, Data Management, Data Governance, Cloud Computing, Google Cloud Platform, Cloud Services, Big Data, Cloud Storage, Data Analysis, Data Warehousing
4.5
Rating, 4.5 out of 5 stars
115 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
SAS
Performing Network, Path, and Text Analyses in SAS Visual Analytics
Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Business Analysis, Natural Language Processing
4.7
Rating, 4.7 out of 5 stars
193 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software
4.6
Rating, 4.6 out of 5 stars
18K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM Data Warehouse Engineer
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Relational Databases, Dashboard, File Management, Stored Procedure
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Multiple educators
Object Oriented Programming in Java
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), Development Testing, User Interface (UI), Debugging, Java Programming, Software Testing, Computer Programming, Software Engineering, Algorithms, Performance Tuning, Encryption, Programming Principles, Data Analysis, Statistical Analysis, Software Design
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Stanford University
Introduction to Statistics
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
4.1K reviews
Beginner · Course · 1 - 3 Months