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
Interactive Brokers
Practical Guide to Trading
Skills you'll gain: Derivatives, Equities, Futures Exchange, Risk Analysis, Financial Trading, International Finance, Investments, Securities Trading, Financial Market, Risk Management, Financial Statement Analysis, Financial Analysis, Market Analysis, Analysis, Capital Markets, Tax, Balance Sheet, Financial Regulations, Market Data, Technical Analysis
4.4
Rating, 4.4 out of 5 stars
753 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Michigan
Fundamentals of Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
42 reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Microeconomics: The Power of Markets
Skills you'll gain: Supply And Demand, Economics, Market Dynamics, Market Analysis, Resource Allocation, Policy Analysis, Tax, Consumer Behaviour, Decision Making
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Duke University
Increasing Real Estate Management Profits: Harnessing Data Analytics
Skills you'll gain: Data Visualization Software, Tableau Software, Financial Modeling, Business Process, Peer Review, Business Analysis, Presentations, Property Management, Data Analysis, MySQL, Risk Analysis, Real Estate, Financial Analysis, Microsoft Excel
4.7
Rating, 4.7 out of 5 stars
242 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of California, Santa Cruz
Bayesian Statistics: From Concept to Data Analysis
Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
4.6
Rating, 4.6 out of 5 stars
3.2K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Rice University
Introduction to Scripting in Python
Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Microsoft
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
University of Pennsylvania
Intro to Data Analytics, SQL, and EDA Using Python
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
BI Dashboards with IBM Cognos Analytics and Google Looker
Skills you'll gain: IBM Cognos Analytics, Dashboard, Business Intelligence, Interactive Data Visualization, Data Presentation, Looker (Software), Data Visualization Software, Business Intelligence Software, Analytics
4.7
Rating, 4.7 out of 5 stars
29 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Creating Business Value with Data and Looker
Skills you'll gain: Looker (Software), Dashboard, Data Governance, Digital Transformation, Real Time Data, Google Cloud Platform, Data Modeling, Data Management, Data Warehousing, Data Visualization Software, Data Analysis, Data Sharing, Big Data, Cloud Storage, Analytics, Business Intelligence, Data Presentation, Data Processing, Database Design, Performance Tuning
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Intermediate · Specialization · 3 - 6 Months
Universiteit Leiden
Population Health: Predictive Analytics
Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation
4.6
Rating, 4.6 out of 5 stars
24 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Natural Language Processing with Probabilistic Models
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 4 Weeks