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

Duke University
Renewable Energy and Green Building Entrepreneurship
Skills you'll gain: Innovation, Entrepreneurship, Team Building, Business Modeling, Environmental Issue, Business Planning, New Business Development, Business Strategy, Corporate Sustainability, Business Development, Entrepreneurial Finance, Action Oriented, Environment and Resource Management, Stakeholder Engagement, Market Analysis
4.7
Rating, 4.7 out of 5 stars
2.8K reviews
Beginner · Course · 1 - 3 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
Meta
Measure and Optimize Social Media Marketing Campaigns
Skills you'll gain: Marketing Analytics, Social Media Marketing, Social Media Campaigns, Marketing Effectiveness, Social Media Strategy, Digital Advertising, Advertising Campaigns, Social Media, Marketing Budgets, Data Analysis, Data Presentation, Marketing, Facebook, A/B Testing, Key Performance Indicators (KPIs), Performance Reporting, Return On Investment, Presentations, Goal Setting
4.9
Rating, 4.9 out of 5 stars
1.9K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California San Diego
Design Thinking and Predictive Analytics for Data Products
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Manipulation, Applied Machine Learning, Design Thinking, Advanced Analytics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Tensorflow, Statistical Methods
4.5
Rating, 4.5 out of 5 stars
65 reviews
Intermediate · Course · 1 - 3 Months
University of Virginia
Artificial Intelligence in Marketing
Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Machine Learning
4.6
Rating, 4.6 out of 5 stars
291 reviews
Beginner · 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
Duke University
Managing Big Data with MySQL
Skills you'll gain: Database Design, MySQL, Relational Databases, SQL, Data Modeling, Databases, Business Analytics, Big Data, Business Analysis, Data Analysis, Data Management
4.7
Rating, 4.7 out of 5 stars
4.1K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Vanderbilt University
ChatGPT Advanced Data Analysis
Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation
4.8
Rating, 4.8 out of 5 stars
790 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Artificial Intelligence in Social Media Analytics
Skills you'll gain: Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Semantic Web, Analysis
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Microsoft
Extract, Transform and Load Data in Power BI
Skills you'll gain: Extract, Transform, Load, Power BI, Data Validation, Data Transformation, Data Cleansing, Data Storage, Data Quality, Data Analysis, Data Integration, Data Storage Technologies, Business Intelligence
4.6
Rating, 4.6 out of 5 stars
869 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Microsoft
Microsoft Azure Data Fundamentals DP-900 Exam Prep
Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Cloud Services, Data Warehousing, Database Systems, Databases, Dashboard, Data Architecture, NoSQL, Apache Spark, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management
4.6
Rating, 4.6 out of 5 stars
829 reviews
Beginner · Specialization · 3 - 6 Months