// 36 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.
Advanced Google Analytics - A Practical Guide
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. Unlock the full power of Google Analytics with this comprehensive, hands-on course designed to elevate your data analysis skills. You’ll learn how to interpret complex metrics, set up Google Analytics 4, and customize your reports for actionable insights that drive business growth. Whether you are tracking user behavior or optimizing marketing campaigns, this course equ
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Data Modeling and Architecture
Data Modeling and Architecture is designed to provide you with the foundational skills required to create and manage data models in Microsoft Power BI. Throughout this course, you'll explore the intricacies of data relationships, schemas, and the use of Data Analysis Expressions (DAX) to enhance your data models. You'll also explore essential topics like data privacy and security, ensuring that your data models are both effective and compliant with ethical standards. This course is hands-on, offering practical experience in configuring data structures and applying advanced techniques to optimi
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Excel Pivot Tables & Analysis
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. Master the power of Excel Pivot Tables to transform raw business data into meaningful insights and actionable reports. This course helps you build practical data analysis skills through hands-on lessons covering Pivot Table creation, filtering, grouping, sorting, calculations, and advanced visualization techniques. The course begins with foundational Pivot Table concepts, helping you create your first repo
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Dive Deeper into Data-Driven Decisions with Power BI
Unlock the power of data with Microsoft Power BI—one of the most in-demand business intelligence tools used by companies worldwide. This hands-on course empowers learners to transform raw data into actionable insights and compelling visual stories. With over 5 million users globally, Power BI is a top choice for data professionals, analysts, and business leaders. Learning Power BI can boost your career in data analytics, business intelligence, and decision-making roles. Career Impact - Power BI skills are listed in over 50,000 job postings globally. Professionals with Power BI expertise earn
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Data Analysis and Visualization
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tabl
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Data Analysis Using Hadoop Tools
The course "Data Analysis Using Hadoop Tools" provides a thorough and hands-on introduction to key tools within the Hadoop ecosystem, such as Hive, Pig, HBase, and Apache Spark, for data processing, management, and analysis. Learners will gain practical experience with Hive's SQL-like interface for complex data querying, Pig Latin scripting for data transformation, and HBase's NoSQL capabilities for efficient big data management. The course also covers Apache Spark's powerful in-memory computation capabilities for high-performance data processing tasks. By the end, participants will be equippe
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Develop Presentations and Slideshows
In this course, you’ll discover how to give an effective presentation about your data analysis. The course will teach you how to construct insightful presentations that resonate with your audience. You'll learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders. By the end of this course, you will be able to: - Describe best practices for addressing the question-and-answer section of a presentation - Consider the caveats and limitations associated with the data in a presentation - Differe
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
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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
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