

Our Courses

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

Design Thinking and Predictive Analytics for Data Products
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
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Course by
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Self Paced
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8 hours
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English

SQL: A Practical Introduction for Querying Databases
Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence.
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Course by
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Self Paced
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21 hours
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English

Data Warehousing with Microsoft Azure Synapse Analytics
In this course, you will explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns and how the common schema is implemented in a data warehouse.
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Course by
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Self Paced
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15 hours
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English

UX Research at Scale: Surveys, Analytics, Online Testing
This UX course will provide an overview of survey methodology from the perspective of UX research. UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. In this course, learners will learn the basics of UX survey research and conduct a survey of their own design! Learners will be introduced to techniques for gaining UX insights from large numbers of users, including web analytics, A/B testing, and remote unmoderated studies.
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Course by
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Self Paced
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19 hours
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English