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

Results for "analytics"

University of Washington
Machine Learning
Skills you'll gain: Machine Learning, Algorithms, Machine Learning Algorithms, Human Learning, Applied Machine Learning, Statistical Machine Learning, Python Programming, Probability & Statistics, Regression, Data Analysis, Machine Learning Software, Mathematics, Exploratory Data Analysis, Computer Programming, Decision Making
4.6
Rating, 4.6 out of 5 stars
16K reviews
Intermediate · Specialization · 3 - 6 Months
EDHEC Business School
Investment Management with Python and Machine Learning
Skills you'll gain: Investment Management, Python Programming, Finance, Data Analysis, Computer Programming, Machine Learning, Statistical Programming, Applied Machine Learning, Financial Analysis, Machine Learning Algorithms, Risk Management, Statistical Machine Learning, Data Analysis Software, Data Management, Data Mining, Natural Language Processing, Algorithms, Human Learning, Computer Science
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Specialization · 3 - 6 Months
Rice University
Introduction to Scripting in Python
Skills you'll gain: Computer Programming, Programming Principles, Python Programming, Computer Programming Tools, Computational Logic, Data Analysis, Computational Thinking, Mathematics, Algorithms, Critical Thinking, Data Structures, Mathematical Theory & Analysis, Problem Solving, Applied Mathematics, Data Visualization
4.7
Rating, 4.7 out of 5 stars
4.2K reviews
Beginner · Specialization · 3 - 6 Months
University of California, Santa Cruz
Bayesian Statistics: From Concept to Data Analysis
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Probability Distribution, Statistical Analysis, Mathematics, R Programming, Data Analysis, Estimation, Statistical Programming
4.6
Rating, 4.6 out of 5 stars
3.2K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
The State University of New York
Practical Time Series Analysis
Skills you'll gain: Probability & Statistics, General Statistics, Correlation And Dependence, R Programming, Statistical Analysis, Data Analysis, Forecasting, Statistical Visualization, Statistical Programming, Plot (Graphics)
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Computer Graphic Techniques, Computer Graphics, Data Analysis, Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Plot (Graphics), R Programming, Statistical Programming, Visualization (Computer Graphics)
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Developing Data Products
Skills you'll gain: Computer Programming, Data Analysis, R Programming, Statistical Programming, Data Visualization, Data Visualization Software, Interactive Data Visualization, Interactive Design, Product Development, Web Development
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Tecnológico de Monterrey
Marketing con Redes Sociales
Skills you'll gain: Communication, Marketing, Social Media, Media Strategy & Planning, Digital Marketing, E-Commerce, Strategy, Brand Management, Culture, Market Analysis, Account Management, Network Analysis, User Experience, Business Communication, Innovation, Organizational Development, Business Process Management
4.5
Rating, 4.5 out of 5 stars
3.7K reviews
Intermediate · Specialization · 3 - 6 Months
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Biostatistics, Exploratory Data Analysis, R Programming
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado System
Data Warehouse Concepts, Design, and Data Integration
Skills you'll gain: Data Management, Data Warehousing, Business Intelligence, Data Analysis, Databases, Warehouse Management, Data Architecture, Data Model, Extract, Transform, Load, Leadership and Management
4.4
Rating, 4.4 out of 5 stars
1K reviews
Mixed · Course · 1 - 3 Months
Status: Free
The University of Edinburgh
Data Science in Stratified Healthcare and Precision Medicine
Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Applied Machine Learning, Clinical Data Management, Machine Learning, Computer Programming Tools, Data Management, Data Structures, Databases, Natural Language Processing
4.6
Rating, 4.6 out of 5 stars
323 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Statistics for Genomic Data Science
Skills you'll gain: Bioinformatics, General Statistics, R Programming, Statistical Analysis, Statistical Tests, Biostatistics, Data Analysis, Probability & Statistics, Correlation And Dependence, Statistical Programming
4.2
Rating, 4.2 out of 5 stars
363 reviews
Mixed · Course · 1 - 4 Weeks