The top 20 Analytics courses you need to take

1. Data Analytics (Part Time)

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs. This course is offered in person and live online, in a remote classroom setting...

2. Intro to Data Analytics

Discover if data is a career fit for you Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making. In this free, two-hour livestream, you’ll learn to understand, analyze, and interpret data so you too can join the data conversation. We’ll cover how to ask the right questions of your data and basic analytic functionality. Then you’ll apply your new found data analytic skills to a real-world dataset, allowing you to develop recommendations based on your findings. All in real time, taught by an industry professional...

3. Marketing Analytics

Gain an in-depth understanding of Google Analytics and marketing analytics. Analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau...

4. Business Analytics

In this program, you will learn foundational data skills that apply across functions and industries. You will learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau...

5. Business Intelligence Analytics

Build confidence combining different data types and sources to create sophisticated data models for enterprises across all industries...

6. Predictive Analytics for Business

Learn to apply predictive analytics and business intelligence to solve real-world business problems...

7. Introduction to Data Analytics for Business

Learn to apply data & statistics specifically for business! In this course, you’ll go from data novice to spreadsheet wizard, calculating and forecasting key financial metrics, even making detailed projections off real-life financial data from the New York Stock Exchange...

8. Business Analytics

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.\n\nThe courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include:\n\nData strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness...

9. Business Analytics

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations...

10. Accounting Analytics

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data...

11. Agile Analytics

Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. In this course, developed at the Darden School of Business at the University of Virginia, you'll learn how to build a strong analytics infrastructure for your team, integrating it with the core of your drive to value...

12. Marketing Analytics

Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. Marketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. 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. You can follow my posts in Twitter, @rajkumarvenk, and on linkedin: https://www.linkedin.com/in/education-marketing. Thanks, Raj Professor of Business Administration at Darden...

13. People Analytics

People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too...

14. Performing Real Time Analytics with Stream Analytics

In this 1-hour long project-based course, you will learn how to (stream and process events with Azure Stream Analytics, data Ingestion with Event Hubs, processing data with Stream Analytics Jobs). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions...

15. Accounting Data Analytics

This specialization develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting. This specialization also develops learners’ skills in machine learning algorithms (using Python), including classification, regression, clustering, text analysis, time series analysis, and model optimization, as well as their ability to apply these machine learning skills to real-world problems...

16. Advanced Business Analytics

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\n\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\n\nCheck out a one-minute video about this specialization to learn more!...

17. Google Data Analytics

Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹\n\nData analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.\n\nOver 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.\n\nUpon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google.\n\n75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²\n\n¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 - Dec. 31, 2022)\n\n²Based on program graduate survey, United States 2022...

18. Google Data Analytics

Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹\n\nData analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.\n\nOver 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.\n\nUpon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google.\n\n75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²\n\n¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 - Dec. 31, 2022)\n\n²Based on program graduate survey, United States 2022...

19. Meta Marketing Analytics

This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.\n\nDeveloped by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more.\n\nYou’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You’ll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You’ll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels.\n\nThroughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects.\n\nThe final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera and a Meta Marketing Science Professional Certification...