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: New
Status: Free Trial
Microsoft
Enterprise Product Management Fundamentals
Skills you'll gain: Product Development, New Product Development, Product Management, Product Lifecycle Management, Product Roadmaps, Market Research, Microsoft 365, Product Requirements, Technical Product Management, Cross-Functional Collaboration, Project Management Institute (PMI) Methodology, Product Strategy, Market Analysis, Compliance Management, Competitive Analysis, Enterprise Security, Agile Methodology, Prioritization
4.8
Rating, 4.8 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Washington
Machine Learning Foundations: A Case Study Approach
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture
4.6
Rating, 4.6 out of 5 stars
14K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Rice University
Introduction to Data Analysis Using Excel
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
10K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Accounting Data Analytics with Python
Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Introduction to Genomic Technologies
Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology
4.6
Rating, 4.6 out of 5 stars
4.7K reviews
Mixed · Course · 1 - 4 Weeks
National Taiwan University
大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)
Skills you'll gain: Marketing Analytics, Social Media, Business Analytics, Market Analysis, Customer Insights, Financial Data, Banking, Business Intelligence, Big Data, Marketing Strategies, Analytics, Data-Driven Decision-Making, Financial Services, Consumer Behaviour
4.8
Rating, 4.8 out of 5 stars
402 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
SQL Window Functions for Analytics
Skills you'll gain: SQL, PostgreSQL, Query Languages, Database Management, Database Systems, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
36 reviews
Advanced · Guided Project · Less Than 2 Hours
Status: Free Trial
University of California, Davis
Google SEO Fundamentals
Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Content Strategy, Digital Marketing, Content Performance Analysis, Content Creation, Artificial Intelligence, Information Architecture, User Experience
4.8
Rating, 4.8 out of 5 stars
3.7K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
O.P. Jindal Global University
Digital Marketing Analytics
Skills you'll gain: Digital Marketing, Web Analytics, Digital Advertising, Search Engine Marketing, Online Advertising, Google Analytics, Search Engine Optimization, Web Analytics and SEO, Google Ads, Marketing Channel, Social Media Marketing, Marketing Strategies, Keyword Research, Marketing Planning, Paid media, Marketing Analytics, Social Media, Advertising, Blogs, Emerging Technologies
4.3
Rating, 4.3 out of 5 stars
10 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to Data Engineering
Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Beginner · Course · 1 - 4 Weeks
University of London
Machine Learning for All
Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Minnesota
Recruiting, Hiring, and Onboarding Employees
Skills you'll gain: Workforce Planning, Employee Onboarding, Recruitment, Recruitment Strategies, Talent Acquisition, Job Analysis, Human Resources, Human Resource Strategy, Workforce Management, Employee Engagement, Talent Sourcing, Interviewing Skills
4.7
Rating, 4.7 out of 5 stars
4.6K reviews
Mixed · Course · 1 - 4 Weeks