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
Coursera Project Network
PowerBI for Beginners: Sales Data Exploration
Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Regional Sales, Data Import/Export
4.9
Rating, 4.9 out of 5 stars
20 reviews
Beginner · Guided Project · Less Than 2 Hours
Arizona State University
Random Models, Nested and Split-plot Designs
Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Data Analysis, Probability & Statistics, Statistical Methods, Data Transformation, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
33 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistics
4.1
Rating, 4.1 out of 5 stars
11 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Universiteit Leiden
Population Health: Responsible Data Analysis
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Data Management, Science and Research, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
43 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Mining Quality Prediction Using Machine & Deep Learning
Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning Algorithms, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Matplotlib, Data Visualization Software
4.8
Rating, 4.8 out of 5 stars
65 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Instructor Network
Introduction to Market Research
Skills you'll gain: Market Research, Analytical Skills, Data Collection, Data-Driven Decision-Making, Market Analysis, Market Dynamics, Marketing, Business Research, Quantitative Research, Data Analysis, Customer Insights, Marketing Strategies, Market Trend, Consumer Behaviour
4.6
Rating, 4.6 out of 5 stars
34 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Build and deploy a stroke prediction model using R
Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Processing, Application Deployment, Data Import/Export, Machine Learning
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Guided Project · Less Than 2 Hours
SAS
Analyzing Time Series and Sequential Data
Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Advanced Analytics, Predictive Modeling, Data Transformation, Exploratory Data Analysis, Anomaly Detection, Regression Analysis, Predictive Analytics, Bayesian Statistics, Statistical Modeling, Automation, Data Processing, Machine Learning, Dimensionality Reduction
5
Rating, 5 out of 5 stars
10 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Coursera Project Network
Perform exploratory data analysis on retail data with Python
Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter
4.5
Rating, 4.5 out of 5 stars
15 reviews
Intermediate · Guided Project · Less Than 2 Hours
Microsoft
Data for Analysis with Microsoft Excel
Skills you'll gain: Microsoft Excel, Excel Formulas, Power BI, Data Analysis, Pivot Tables And Charts, Data Transformation, Timelines, Data Cleansing, Data Manipulation, Data Management
4.7
Rating, 4.7 out of 5 stars
20 reviews
Beginner · Course · 1 - 4 Weeks
Corporate Finance Institute
Practical Data Science for Data Analysts
Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Statistical Methods, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Correlation Analysis, Predictive Modeling, Applied Machine Learning, Supervised Learning, Statistical Modeling, Statistical Analysis
4.9
Rating, 4.9 out of 5 stars
10 reviews
Advanced · Specialization · 3 - 6 Months
University of Colorado Boulder
The Data Driven Manager
Skills you'll gain: Sampling (Statistics), Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Correlation Analysis, Data Visualization, Data Science, Estimation, Data Collection, Statistical Software, Risk Analysis, Statistical Analysis, Statistical Visualization, Statistical Methods, Box Plots, R Programming, Return On Investment, Sample Size Determination
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
35 reviews
Beginner · Specialization · 3 - 6 Months