The 23 Best Business Analytics Courses on Coursera for 2021

The 23 Best Business Analytics Courses on Coursera for 2021

Source: Coursera

The editors at Solutions Review have compiled this list of the best business analytics courses on Coursera to consider if you’re looking to grow your skills.

Business analytics refers to the process by which organizations use statistical methods and software for analyzing data. Some of the key processes included data mining, predictive analytics and statistical analysis in order to transform and present data as a means to enhance decision-making. More data is available to businesses than ever before, which is why business analytics is a massively growing field. Modern business analytics software tools let users with little to no technical background pilot tools that can automate much of the process.

With this in mind, we’ve compiled this list of the best business analytics courses on Coursera if you’re looking to grow your skills for work or play. Coursera is one of the top online education platforms in the world, partnering with more than 200 universities and companies to provide a range of learning opportunities. The platform touts more than 77 million learners around the globe. As you can see below, we broke the best business analytics courses on Coursera down into categories based on the recommended proficiency level. Each section also features our inclusion criteria. Click GO TO TRAINING to learn more and register.

Best Business Analytics Courses on Coursera for Beginners

Note: We included top-rated Coursera business analytics training via the Level selection to make your search easier.

Introduction to Data Analytics

Description: This course presents a gentle introduction to the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data-driven decision-maker.

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Data-driven Decision Making

Description: In this course, you’ll get an introduction to Data Analytics and its role in business decisions. You’ll learn why data is important and how it has evolved. You’ll be introduced to “Big Data” and how it is used. You’ll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you’ll have a chance to put your knowledge to work in a simulated business setting.

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Marketing Analytics

Description: This course, developed at the Darden School of Business at the University of Virginia, gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You’ll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.

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Infonomics I: Business Information Economics and Data Monetization

Description: This first course in the two-part Infonomics series provides a non-technical perspective on and methods for understanding and taking advantage of information’s unique economic characteristics. Starting with dissecting whether the information is or isn’t an asset or even property, students will begin to appreciate the challenges and opportunities with treating it as one. Then the course examines how information behaves in the context of various familiar micro-economic concepts, and what can be gleaned from this to improve the way information is managed and leveraged

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Excel Basics for Data Analysis

Description: This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet.

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Business Analytics and Digital Media

Description: Business Analytics can be leveraged to process data, sentiment, buzz, contacts, context and other aspects of business interest in real time, for business performance and impact. The course picks and uses use-cases from a variety of industries and geographies, to showcase the potential and impact that business analytics done properly (or not) can have on business performance.

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Excel Skills for Business: Essentials

Description: In this first course of the specialization Excel Skills for Business, you will learn the essentials of Microsoft Excel. Within six weeks, you will be able to expertly navigate the Excel user interface, perform basic calculations with formulas and functions, professionally format spreadsheets, and create visualizations of data through charts and graphs.

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Foundations: Data, Data, Everywhere

Description: This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

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Best Business Analytics Courses on Coursera for Intermediate

Note: We included top-rated Coursera business analytics training via the Level selection to make your search easier.

Introduction to Business Analytics: Communicating with Data

Description: This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.

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Business Analytics Executive Overview

Description: This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.

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Business Analytics Capstone

Description: The Business Analytics Capstone Project gives you the opportunity to apply what you’ve learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you’ll be able to ask the right questions of the data, and know how to use data effectively to address business challenges of your own.

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Excel Skills for Business: Intermediate I

Description: In this course, you will build a solid layer of more advanced skills so you can manage large datasets and create meaningful reports. These key techniques and tools will allow you to add a sophisticated layer of automation and efficiency to your everyday tasks in Excel.

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Apache Spark (TM) SQL for Data Analysts

Description: In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.

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Predictive Analytics and Data Mining

Description: This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.

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Applying Data Analytics in Finance

Description: This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time-series data and how to evaluate the risk-reward trade-off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leveraged in other domains.

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Best Business Analytics Courses on Coursera for All Levels

Note: We included top-rated Coursera business analytics training via the Level selection to make your search easier.

Business Analytics for Decision Making

Description: In this course, you will learn how to create models for decision-making. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.

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Communicating Business Analytics Results

Description: In this course, you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.

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Business Metrics for Data-Driven Companies

Description: In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.

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Mastering Data Analysis in Excel

Description: This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected.

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Introduction to Data Analytics for Business

Description: This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish. What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization.

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Business Intelligence Concepts, Tools, and Applications

Description: In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy’s Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

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Timothy King

Timothy King

Tim is Solutions Review’s Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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