// 45 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
What is Qualitative Research?
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualitative research methods along with high school students and professionals with similar interests. This introduction to qualitative research in psychology provides an in-depth exploration of individuals' lived experiences through methods like interviews and observations. It delves into the historical, philosophical, and cross-disciplinary foundations of qualitative research, illustrating these foundations with a variety of examples, activities, and self-assessments. The course aim
All levels
Accounting Workflow Automation with Excel and AI
Transform accounting operations through intelligent automation and advanced data analysis. You'll implement AI-powered tools for invoice processing, create sophisticated spreadsheet systems for financial analysis, and optimize accounting workflows to boost efficiency and accuracy. This hands-on course combines cutting-edge AI technology with practical accounting skills. You'll configure OCR systems to automate data entry, build advanced Excel templates with validation rules, and conduct ROI analyses to measure automation benefits. Through real-world scenarios, you'll develop the technical and
All levels
Advanced Data Structures and Handling with Polars
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Take your data analysis skills to the next level with advanced Polars techniques. This course covers complex data structures, reshaping operations, text manipulation, and working with categorical and datetime data, giving you the ability to handle diverse and intricate datasets efficiently. You'll begin by mastering concatenation methods, including vertical, horizontal
All levels
Introduction to Applied Machine Learning
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning app
All levels
Master Excel Fundamentals for Data Analysis
By the end of this course, learners will be able to navigate Microsoft Excel 2019 confidently, apply professional formatting, perform accurate calculations, and analyze data using logical and conditional tools. This Excel 2019 – Beginners Training course is designed for absolute beginners who want to build strong, practical spreadsheet skills from the ground up. Learners start by understanding the Excel interface, worksheets, and file management before progressing to formatting data for clarity and professionalism. The course then introduces mathematical operations, logical functions like IF,
All levels
ThoughtSpot-Based BI Analytics
In this course, you’ll gain the skills to turn complex data into actionable insights with ThoughtSpot’s intuitive analytics platform. Imagine navigating through a business meeting where the future strategies hinge on last quarter's data analysis. This course will empower you to bypass the limitations of traditional dashboards and get the critical insights you need instantly. Using interactive dashboards, AI-powered analytics, and real-world scenarios, you’ll gain the confidence to make data-driven decisions and elevate business performance. This course is ideal for Data Analysts, BI Professio
All levels
Process Data from Dirty to Clean
This is the fourth course in the Google Data Analytics Certificate. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introduc
All levels
Foundations of Healthcare Data Analytics
Healthcare generates vast amounts of data every day from electronic health records and lab systems to imaging, devices, and claims. If you’re looking to build analytics skills for healthcare, or eager to understand and work with healthcare data more effectively, this course is for you. In this course, you’ll explore the foundational landscape of healthcare data and understand what makes it distinct from other domains. You’ll learn how data flows through clinical and administrative systems, the formats and standards that shape it, and the challenges posed by fragmentation, interoperability iss
All levels
Lean Six Sigma Professional Track - From Green to Black Belt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. The Lean Six Sigma Professional Track is designed to take you on a journey from Green Belt to Black Belt expertise. This course provides a deep dive into the Six Sigma methodology, focusing on process improvement, data analysis, and project management. You will gain a comprehensive understanding of the DMAIC (Define, Measure, Analyze, Improve, Control) framework, with a
All levels
Observational Methods and Qualitative Data Analysis
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualtitative research methods along with high school students and professionals with similar interests. This course delves into the qualitative research traditions of ethnographic inquiry and case study in psychology, emphasizing the use of participant observation. Students will explore the unique practices, data gathering and analysis methods, and researcher involvement in these traditions. This course explores the interviewing methods used in qualitative research in psychology. The
All levels
Precalculus: Relations and Functions
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses. Students interested in the natural sciences, computer sciences, psychology, sociology, or similar w
All levels
Launch & Optimize Email Series
Ready to transform scattered email sends into powerful, strategic sequences that build relationships and drive results? This Short Course was created to help Marketing professionals accomplish building and optimizing high-performing email series that outperform single-email campaigns. By completing this course, you'll be able to create cohesive multi-email campaigns with personalized content, implement A/B testing strategies, and use data analytics to continuously improve your email series performance. By the end of this course, you will be able to: Build and launch a 3-part email series us
All levels
R Programming
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examp
All levels
Introduction to Data Analytics
Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pi
All levels
Introduction to Data Analytics
This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making. By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and the
All levels
Introduction to SIEM (Splunk)
This course provides a comprehensive understanding of Security Information and Event Management (SIEM) concepts and practical skills using Splunk as an SIEM solution. You will discover SIEM fundamentals, Splunk architecture, data collection and management, data analysis, and advanced topics such as correlation and incident response. By the end of the course, you will effectively apply Splunk for log analysis, threat detection, and security monitoring. Learning Objectives: Module 1: Introduction to SIEM and Log Management • Recognize SIEM fundamentals and its role in cybersecurity. • Compreh
All levels
Population Health: Responsible Data Analysis
In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. First, you will learn how to obtain, safely gather, clean and explore data. Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical
All levels
Data Visualization and Communication with Tableau
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. By the end, you will know how to structure your data analysis proj
All levels
Explain Black-Box Models
Ready to unlock the mystery behind your most powerful models? This Short Course was created to help data analysis professionals accomplish transparent and trustworthy AI implementation. By completing this course, you'll master SHAP values for executive communication, systematically compare explainability methods, and align explanation strategies with stakeholder needs. By the end of this course, you will be able to: Apply SHAP values to a black-box model and produce feature-importance visuals interpretable by non-technical executives Evaluate two XAI methods (LIME vs. SHAP) for fidelity and s
All levels
ChatGPT and Prompt Engineering With Advanced Data Analysis
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers an in-depth journey into the world of ChatGPT, prompt engineering, and advanced data analysis techniques. You will explore how to leverage AI tools like ChatGPT in business, programming, social media, and machine learning, while gaining hands-on experience in crafting effective prompts, using AI for data analysis, and generating creative outputs. By t
All levels
Analyze E-Commerce Data Using PostgreSQL
Learners will apply SQL concepts, analyze real-world e-commerce datasets, and produce business-ready reports using PostgreSQL. By the end of this course, learners will be able to design relational database structures, write optimized SQL queries, perform advanced aggregations, and generate actionable insights from transactional data. This course provides a hands-on, project-driven approach to mastering PostgreSQL for data analysis. Learners begin by setting up the PostgreSQL environment and building a strong foundation in database management, table design, data types, and constraints. They th
All levels
Fast-Track Data Analysis and Presentations
Need to crunch data or pull together a presentation? In this course, you’ll design prompts that help you extract insights, understand spreadsheet formulas, and build graphs to visualize data. You'll also explore how to use AI tools to help with speaker notes and practice before your big day, once you’re ready to present your findings. By the end of this course, you will be able to: - Develop a responsible prompting practice when entering data into generative AI tools - Apply the prompting framework to extract insights from data, identify and fix spreadsheet formulas, and explore data visualiz
All levels
Data Management for Analytics Part 1
This course will offer you an opportunity to learn the fundamental concepts and emerging technologies in database design and modeling and database systems. It presents a balanced theory-practice focus and covers entity relationship model and UML model, relational model, and relational databases. By the end of this part 1 course on data analytics, you will have a foundational understanding of the theory and applications of database management to support data analytics, data mining, machine learning, and artificial intelligence.
All levels
Apply Data Analytics with Minitab for Business Decisions
By the end of this course, learners will be able to apply statistical data analytics techniques using Minitab and Excel, interpret business data through descriptive and inferential methods, evaluate relationships using correlation and ANOVA, and support data-driven business decisions through real-world case studies. This course provides a practical, industry-focused introduction to data analytics using Minitab, designed for learners who want to move beyond theory and develop job-ready analytical skills. Learners will explore core statistical concepts such as descriptive statistics, hypothesis
All levels