In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.

The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.

This Specialization covers elements of three major creative writing genres: short story, narrative essay, and memoir. You will master the techniques that good writers use to compose a bracing story, populated with memorable characters in an interesting setting, written in a fresh descriptive style. You will analyze and constructively evaluate peer writing. In the Capstone, you will draft, rewrite, and complete a substantial original story in the genre of your choosing.

Our courses are designed for anyone from aspiring short story writers to established novelists. Whether you have a finished novel sitting on your desk calling for a fresh look or have had the germ of an idea for a decade, this Specialization gives you the tools to achieve your goal. Through 4 courses focused on a key aspect of writing, and taken in any order you choose, you will develop a stronger ability to not only refine your writing but critique writing in general and find inspiration in the works you are already reading.

Artificial intelligence (AI) has transformed industries around the world and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.

In this specialization, we'll discuss the current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically.

This specialization is designed for both healthcare providers and computer science professionals, offering insights to facilitate collaboration between the disciplines.

CME Accreditation

The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. View the full CME accreditation information on the individual course FAQ page.

WHAT YOU WILL LEARN

- Identify problems healthcare providers face that machine learning can solve

- Relate AI to the science, practice, and business of medicine

- Analyze how AI affects patient care safety, quality, and research

- Apply the building blocks of AI to help you innovate and understand emerging technologies

The final course will consist of a capstone project that will take you on a guided tour exploring all the concepts we have covered in the different classes. This will be a hands-on experience following a patient's journey from the lens of the data, using a unique dataset created for this specialization.We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model.

Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.

Centered around projects, this Specialization will help you create a portfolio of work to demonstrate your new programming skills. In the capstone you will create a recommender engine similar to those used by Netflix or Amazon. Additional projects in your portfolio will include:an interactive webpage that applies filters to images, an analysis of CSV data files, an encryption program, and a predictive text generator.

Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders. In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering. Throughout the program, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes.

This Specialization is intended for both current and new product managers working in digital who want to apply a portfolio of modern practices to developing their products and teams. Through five courses, you will cover applications of product design, hypothesis-driven development, and agile, all at the heart of modern product management.

WHAT YOU WILL LEARN

- Create and manage a team charter that drives alignment and autonomy

- Create a culture of experimentation with hypothesis-driven development

- Lead from the front with actionable design narrative on your customers

- Instrument relevant, actionable analytics into your product program

Learners will go from idea to testable product hypotheses to team charter over the course of the specialization - essentially, the preparation a product manager spinning up a new program would execute. Specifically, you'll draft a focal positioning statement, personas, jobs-to-be-done, value proposition hypotheses, user stories, and integrate them into a team charter.

Knowledge of Geographic Information Systems (GIS) is an increasingly sought-after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.

Interested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.

WHAT YOU WILL LEARN

- Create and work with raster data.

- Develop a large processing workflow in ModelBuilder.

- Develop and analyze data for the geospatial analysis project.

- Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis.

Learners will work through the various course projects to gain experience and skills related to geographic information systems. Each course reviews the concepts in a final project to reinforce your learning. Each course builds on the knowledge of the previous and the Specialization culminates with a capstone where you will design and execute a complete GIS-based analysis – from identifying a concept, question, or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio.

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance.

If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on Vantage.

This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act.

What's more, should you enroll in these courses, you will be invited to join PwC's talent network. Those who opt into this talent network will receive information about PwC career opportunities, thought leadership, and happenings in the PwC global network.

Please note: If you'd like to audit the courses in this Specialization, you'll need to enroll in each course separately and then you will see the audit option.

This specialization will include a project at the end of each module and a capstone project at the end of the specialization. Each project will provide you the chance to apply the skills of that lesson. In the first module, you'll plan an analysis approach, in the second and third modules you will analyze sets of data using the Excel skills you learn. In the fourth module, you will prepare a business presentation.

In the final Capstone Project, you'll apply the skills you’ve learned by working through a mock client business problem. You'll analyze a set of data, looking for the business insights. Then you'll create and visualize your findings, before recording a video to present your recommendations to the client.

Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field.

This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data-driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.

You’ll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open-source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. You'll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real-world data sets.

WHAT YOU WILL LEARN

- Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists  

- Develop the mindset to work as a data scientist, and follow a methodology to tackle different types of data science problems

- Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub, and Watson Studio

- Write SQL statements and query Cloud databases using Python from Jupyter notebooks

In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in data science foundations.

This Specialization can also be applied to the IBM Data Science Professional Certificate.

You will utilize tools like Jupyter, GitHub, R Studio, and Watson Studio to complete hands-on labs and projects throughout the Specialization. Using new skills and knowledge gained through the program, you’ll also work with real-world data sets and query them using SQL from Jupyter notebooks.