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Our Courses
Lead Management in Salesforce
The second course in the Salesforce Sales Operations Professional Certificate, Lead Management in Salesforce, is for anyone who is curious about entry level sales roles that require foundational skills in Salesforce, the sales operations specialist role specifically, and how to use tools in Salesforce to manage leads in a real world business setting. This second course will give you a foundational understanding of how to help sales and marketing teams optimize the lead management process.
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Course by
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Self Paced
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65 hours
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English
MLOps | Machine Learning Operations
This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow.
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Course by
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Self Paced
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English
AWS: Data Management and Backups
AWS: Data Management and Backups Course is the fourth course of Exam Prep: AWS Certified SysOps Administrator - Associate Specialization. This course teaches Data Storage and management concepts by exploring AWS Services such as Amazon S3, and AWS Storage Gateway.
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Course by
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Self Paced
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5 hours
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English
IBM Mainframe Developer
Gain the job-ready skills for an entry-level mainframe programming role. Mainframe computers continue to power many mission-critical, financial, banking, and government agency systems. There are 220 billion lines of COBOL in use today. 43% of banking systems are built on COBOL, and 95% percent of ATM swipes rely on COBOL code.¹ COBOL is scalable, mature, and self-documenting. You'll learn about COBOL from its birth and through its evolution.
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Course by
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Self Paced
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English
Autonomous Vehicle Engineering
This specialization is intended for students seeking to explore the Autonomous Vehicle sector, which is undergoing profound transformation in today’s world.
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Course by
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English
Data Science at Scale
Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data.
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Course by
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Self Paced
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English
Data Analysis and Interpretation
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights.
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Course by
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Self Paced
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English
Statistics with Python
This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures.
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Course by
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Self Paced
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English
Business Data Management and Communication
In a world driven by big data, it is crucial to understand how valuable information can be extracted from large volumes of data. Further, it is pivotal to utilize information to its full potential. This not only requires one to extract value from data but also to effectively communicate the information obtained. The Business Data Management and Communication Specialization is tailored to deliver a well-balanced curriculum that focuses on all three aspects - Understanding Data, Extracting Valuable Information, and Effective Communication.
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Course by
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Self Paced
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English
Digital Health
This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These digital health technologies are assessed in terms of their opportunities and challenges to address real-world public health and health care system challenges in order to improve the quality, safety and efficiency of these services.
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Course by
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Self Paced
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English
Snowflake for Beginners: Make your First Snowsight Dashboard
According to a recent Coursera study(*), there are 7 most in-demand skills in the data world. Among these skills is data management, which refers to the practice of effectively collecting, organizing, storing, and analyzing data. While some organizations will have dedicated data management roles, data analysts often manage data to some degree.
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Course by
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Self Paced
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3 hours
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English
Data Management in Python: Build a Login System for your App
This guided project, Data Management in Python: Build a Login System for your App, will help an intermediate Python programmer looking to use a MySQL database in Python for simple data input and querying.
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Course by
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Self Paced
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4 hours
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English
Applied Digital Literacy
This Specialization is intended for anyone seeking to develop online, internet researching skills along with advanced knowledge of multimedia for the creation of digital objects such as presentations, infographics, posters, commercials, podcasts, and movies.
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Course by
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Self Paced
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English
Excel for Everyone: Data Management
Further your Excel skills to manage larger datasets and more complex data wrangling, management and modelling.
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Course by
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Self Paced
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English
Data Platform, Cloud Networking and AI in the Cloud
The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud.
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Course by
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Self Paced
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7 hours
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English
NoSQL, Big Data, and Spark Foundations
Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases.
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Course by
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Self Paced
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English
Data Management with Azure: Implement Compliance Controls
Confidential data stored within a Microsoft SQL Server or Azure SQL Database should be classified and kept safe within the database. This classification allows the SQL Server users, as well as other applications, to know the sensitivity of the data that is being stored. Classification and protection of the data stored in the database is a must – implementation of row-level security can restrict row-level access based on a user's identity, role, or execution context and with the implementation of Dynamic Data Masking you can limit sensitive data exposure to non-privileged users.
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Course by
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Self Paced
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2 hours
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English
DataOps Methodology
DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided and updated to meet the need of the organization’s data consumers.” The DataOps Methodology is designed to enable an organization to utilize a repeatable process to build and deploy analytics and data pipelines.
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Course by
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Self Paced
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10 hours
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English
Oracle Cloud Data Management Foundations Workshop
In this course you will learn how Oracle's cloud data platform extends and complements its core databases. Understand how to architect data management platforms that work together to simplify and maximize productivity, while reducing cost and improving performance, reliability, and security.
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Course by
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Self Paced
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9 hours
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English
Salesforce Integration
Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.
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Course by
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Self Paced
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13 hours
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English
Machine Learning on Google Cloud
What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code?
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Course by
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Self Paced
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English
CASL Programming for Distributed Computing in SAS® Viya®
Welcome to the CASL Programming for Distributed Computing in SAS Viya course. SAS Viya is an AI, analytic and data management platform running on a scalable, distributed, cloud-native architecture. In this course you will learn how how to use the native CAS programming language (CASL) to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya .
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Course by
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Self Paced
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English
Implementing Connected Planning
The Implementing Connected Planning course will be deprecated at the end of January 2025. Please plan to complete all coursework by that time, and save any notes you wish to keep outside of Coursera to ensure future access. From this course, you’ll understand how to make Connected Planning a reality in an organization.
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Course by
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Self Paced
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16 hours
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English
Healthcare Data Management and Information Systems
This course is the continuation of the Health Informatics for Healthcare Professionals course. If you have not yet taken the introductory course, it is recommend that you complete that course prior to this course. The foundational knowledge from the introduction is carried through in this deeper dive into informatics in healthcare. In this course, you will have an opportunity to explore concepts and topics related to the design and management of health information systems.
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Course by
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Self Paced
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16 hours
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English
Road safety in the Caribbean region: institutions and data management
Learn about the current state of road safety in our region, its main challenges, and areas of action.
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Course by
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Self Paced
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English