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Our Courses
Gender Analytics Capstone Project
It’s time to use your Gender Analytics skills to tackle a real-world challenge in your capstone project. In the final course in the Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) at the University of Toronto's Rotman School of Management, you will practice your Gender Analytics skills in an applied learning project that will take you through the entire process for using gender-based insights to generate innovative solutions.
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Course by
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Self Paced
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9 hours
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English
Machine Learning Modeling Pipelines in Production
**Starting May 8, enrollment for the Machine Learning Engineering for Production Specialization will be closed.
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Course by
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Self Paced
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48 hours
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English
Data Analytics Foundations for Accountancy I
Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community.
To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class.
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Course by
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Self Paced
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67 hours
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English
Business Intelligence and Visual Analytics
Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.
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Course by
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Self Paced
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12 hours
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English
How to Analyze Tweet Engagement with Twitter Analytics
Twitter is a dynamic social media platform that prides itself on furthering conversations in real-time. Known as a platform that features short-form text it is intended to be brief, direct, impactful, and a living source of information. Businesses are increasingly taking part in this conversation and are finding new and different ways to further their brand experience on this increasingly popular platform. In this project, learners will learn how to use Twitter Analytics to analyze tweet engagement using Twitter Analytics.
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Course by
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Self Paced
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1 hour
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English
Infonomics I: Business Information Economics and Data Monetization
Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.
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Course by
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Self Paced
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14 hours
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English
Big Data, Genes, and Medicine
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of.
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Course by
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Self Paced
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40 hours
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English
Statistics for Marketing
This course takes a deep dive into the statistical foundation upon which marketing analytics is built. The first part of this course will help you to thoroughly understand your dataset and what the data actually means. Then, it will go into sampling including how to ask specific questions about your data and how to conduct analysis to answer those questions.
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Course by
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Self Paced
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17 hours
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English
Sneak Peek: Dartmouth's Digital Transformation Certificate
This course introduces you to Dartmouth’s Digital Transformation Certificate Program.
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Course by
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Self Paced
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10 hours
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English
Using SAS Viya REST APIs with Python and R
SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems.
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Course by
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Self Paced
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18 hours
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English
Applying Data Analytics in Accounting
This course explores business analytic applications in accounting. First, it presents a survey of technology topics in accounting, including process mining, blockchain and applications in audit, tax, and assurance. Next, the course explores visualization and basic analytics in audit and control testing using R and Alteryx. Next, the course examines the uses of text analysis in accounting and conducts text analysis using R and RStudio. Finally, the course examines robot process automation in general using UiPath and its applications in accounting.
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Course by
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Self Paced
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14 hours
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English
Create IoT Solutions in Microsoft Azure
In this 1-hour long project-based course, you will learn to create an IoT hub in the Azure cloud, and learn to use the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages and cloud-to-device messages. Then you will learn to create an Azure storage account and create a stream analytics job with an IoT hub as input and a storage account as output so that the messages can be stored on the Azure storage.
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Course by
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Self Paced
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3 hours
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English
Google Data Analytics Capstone: Complete a Case Study
This course is the eighth and final course in the Google Data Analytics Certificate. You’ll have the opportunity to complete a case study, which will help prepare you for your data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn about useful job hunting skills, common interview questions and responses, and materials to build a portfolio online.
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Course by
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Self Paced
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9 hours
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English
Applied Analytics and Data for Decision Making
By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards.
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Course by
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Self Paced
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11 hours
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English
Google Advanced Data Analytics Capstone
You’re almost there! This is the seventh and final course of the Google Advanced Data Analytics Certificate. In this course, you have the opportunity to complete an optional capstone project that includes key concepts from each of the six preceding courses.
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Course by
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Self Paced
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10 hours
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English
Politics and Ethics of Data Analytics in the Public Sector
Deepen your understanding of the power and politics of data in the public sector, including how values — in addition to data and evidence — are always part of public sector decision-making. In this course, you will explore common ethical challenges associated with data, data analytics, and randomized controlled trials in the public sector. You will also navigate and understand the ethical issues related to data systems and data analysis by understanding frameworks, codes of ethics, and professional guidelines.
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Course by
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Self Paced
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14 hours
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English
Advanced Models for Decision Making
Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. This course is designed to connect data and models to real world decision-making scenarios in manufacturing, supply chain, finance, human resource management, etc.
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Course by
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Self Paced
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14 hours
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English
Population Health: Predictive Analytics
Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness.
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Course by
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Self Paced
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17 hours
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English
Data Security
If you are an associate-level cybersecurity analyst who is working in security operation centers, this course will help you explore data type categories in context to network security analytics.
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Course by
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Self Paced
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16 hours
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English
Net Promoter Score (NPS) and Sentiment Analysis in Miro
By the end of this project, you will be able to confidently analyze survey data by generating Net Promoter Score analytics to help understand and communicate the state of the overall Customer Experience (CX).
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Course by
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Self Paced
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2 hours
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English
AWS: Storage Systems and Data Management
AWS: Storage Systems and Data Management Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course assists learners with knowledge of storage components with operational storage services. The concept of Implementation of DynamoDB Operational Characteristics and Redshift is also described in this course. Learners will be able to Analyze various approaches for Management of data. This course is basically divided into three modules and each module is further segmented by Lessons and Video Lectures.
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Course by
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Self Paced
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7 hours
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English
Continuous Integration
In today's world, software development is highly complex and often has large teams of developers working on small pieces of a larger software project. This course will go over the basic principles of using a continuous integration system effectively to constantly improve software. We're going to describe the different stations of continuous test, build, integration and deploy processes required for DevOps practices and apply best practices for quality software management, and tooling to accomplish iterative software build & test processes.
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Course by
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Self Paced
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16 hours
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English
Introduction and Programming with IoT Boards
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry.
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Course by
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Self Paced
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7 hours
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English
Inventory Analytics with Excel: Create an inventory system
This guided project, Inventory Analytics with Excel: Create an inventory system, will help an intermediate analyst who is looking to create an inventory management table for a business.
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Course by
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Self Paced
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3 hours
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English
Create an Employee Feedback Survey with TypeForm
Typeform is an online SaaS company that specializes in dynamic form building and online surveys. Typeform is used by large corporations and small businesses for a variety of different business operations. You will see Typeform used in analytics & reporting, collaboration, customer support, email marketing, lead generation, and so much more. Typeform works in conjunction with several well-known apps to seamlessly inegrate into your marketing & sales environment.
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Course by
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Self Paced
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3 hours
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English