Skills you'll gain: Back-End Web Development, Data Analysis, Entrepreneurship, Financial Analysis, Product Management, Strategy and Operations, Web Development, Marketing
Beginner · Guided Project · Less Than 2 Hours
Skills you'll gain: Probability & Statistics, Machine Learning, General Statistics, Business Analysis, Data Analysis, Statistical Analysis, Experiment, Probability Distribution, Python Programming, Applied Machine Learning, Regression, Statistical Tests, Advertising, Algebra, Communication, Data Management, Data Structures, Linear Algebra, Machine Learning Algorithms, Marketing, Theoretical Computer Science
Mastertrack · 6-12 Months
Skills you'll gain: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Business Analysis, Microsoft Excel, Probability & Statistics, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Accounting, Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science
Beginner · Professional Certificate · 3-6 Months
Skills you'll gain: Business Analysis, Spreadsheet Software, Data Analysis, Microsoft Excel, Data Visualization, Interactive Data Visualization, Data Analysis Software, Data Management, Data Model, Extract, Transform, Load, Big Data, Power BI
Intermediate · Specialization · 3-6 Months
Skills you'll gain: Data Analysis, Business Analysis, Data Management, Statistical Programming, Data Visualization, Databases, Process Analysis, SQL, Probability & Statistics, Entrepreneurship, Leadership and Management, Spreadsheet Software, Communication, Exploratory Data Analysis, Computer Programming, Extract, Transform, Load, R Programming, Visualization (Computer Graphics), Problem Solving, Research and Design, Computer Architecture, Decision Making, Microsoft Excel, Programming Principles, Security Engineering, Strategy and Operations, Theoretical Computer Science, Big Data, Computer Graphics, Interactive Data Visualization, Correlation And Dependence, Data Analysis Software, Data Structures, Human Resources, Marketing, Project Management, Sales, Security Strategy, Statistical Visualization, Storytelling, Strategy, Tableau Software, Collaboration, Distributed Computing Architecture, Graphic Design, Operating Systems, People Analysis, Plot (Graphics), System Security, Accounting, Algorithms, Business Psychology, Calculus, Cloud Computing, Computer Networking, Computer Programming Tools, Cryptography, Culture, Database Administration, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Knitr, Mathematics, Network Security, Other Programming Languages, Regulations and Compliance, Small Data, Software Security, Web Development, Business Communication, Data Mining, Data Visualization Software, Journalism, Leadership Development, Networking Hardware
Beginner · Professional Certificate · 3-6 Months
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.
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.
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.