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
Simplilearn
ROI-Driven Digital Marketing Analytics
Skills you'll gain: Search Engine Marketing, Google Ads, Marketing Analytics, Web Analytics, Google Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Business Metrics, Online Advertising, Marketing Budgets, Performance Metric, Pay Per Click Advertising, Digital Marketing, Paid media, Search Engine Optimization, Marketing Automation, Marketing, AI Personalization, Marketing Strategies
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Michigan
Python Functions, Files, and Dictionaries
Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis
4.8
Rating, 4.8 out of 5 stars
5.4K 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
Workday
Workday Basics Series
Skills you'll gain: Workday (Software), Business Process, Workflow Management, Business Reporting, System Configuration, Data Security, Organizational Structure, Branding, Data Integration
4.8
Rating, 4.8 out of 5 stars
278 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Toronto
Plant Bioinformatic Methods
Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Northwestern University
What is Social?
Skills you'll gain: Social Media Marketing, Target Audience, Social Media Strategy, Digital Transformation, Social Media Management, Professional Networking, Marketing Strategies, Content Strategy, Business Transformation, Market Analysis
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
IBM
NoSQL, Big Data, and Spark Foundations
Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability
4.5
Rating, 4.5 out of 5 stars
764 reviews
Beginner · Specialization · 3 - 6 Months
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
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
Status: Free Trial
SAS
Getting Started with SAS Programming
Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
3.1K 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