Coursera

Getting Started on Mainframe with z/OS Commands and Panels (Coursera)

Offered by IBM,

Getting Started with the IBM Mainframe with z/OS Commands and Panels is a mostly hands-on in an IBM Mainframe z/OS Environment. A total of seven labs will provide live access to an IBM Z server. The labs are designed to teach you the fundamental practical skills to navigate and work in a z/OS environment. This includes the use of ISPF/PDF dialogs, and TSO/E commands.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What You Will Learn

Review the main concepts of z/OS
Log on to TSO and start ISPF/PDF
Navigate through ISPF/PDF dialogs and use the basic ISPF/PDF functions and the ISPF Editor
Use ISPF/PDF to allocate data sets and edit data sets using the ISPF Editor primary and line commands

Course 2 of 3 in the IBM z/OS Mainframe Practitioner Professional Certificate.

Syllabus

WEEK 1: Introduction to Commands and Panels
WEEK 2: Working with Data Sets
WEEK 3: TSO Commands

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

IBM

z/OS System Services Structure (Coursera)

CS: Information & Technology

This course presents the structure and control blocks of the z/OS BCP and system services. It prepares the new z/OS system programmer to identify potential bottlenecks and performance problems, perform initial error symptom gathering, and identify opportunities and requirements for tailoring an z/OS system. This course also provides prerequisite information needed for further training in specialized areas such as system measurement and tuning and system problem determination.

Nov 9th 2026

5-12 Weeks

z/OS System Services

Coursera

École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

CS: Theory CS: Programming

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Nov 9th 2026

4 Weeks

Programming Algorithms SQL

SQL Basics for Data Science with R (edX)

EdX

IBM

SQL Basics for Data Science with R (edX)

Statistics & Data Analysis

Build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries.

Self Paced

Self-Paced

SQL Data Science R Language

EdX

IBM

Analizando datos con Python (edX)

Statistics & Data Analysis CS: Programming

En este curso aprenderás cómo analizar datos en Python usando matrices multidimensionales en numpy, a manipular DataFrames en pandas, a usar la biblioteca SciPy de rutinas matemáticas y a realizar aprendizaje automático usando scikit-learn.

Self Paced

Self-Paced

Python Machine Learning Data Analysis

FutureLearn

University of Dundee,Grow Observatory

Citizen Science: From Data to Action (FutureLearn)

Sci: Environment Science

Join us to discover how citizen-generated data on soils, food and a changing climate can create positive change in the world. How can citizen science create positive change in the world? Join this online course to discover soil and food growing data and results generated by citizen scientists like you who are collaborating with the GROW Observatory.

No sessions available

3 Weeks

Climate Data Analysis Citizen Science

OpenSAP

SAP

Introduction to SAP HANA Administration (openSAP)

Management & Leadership

This free online course is a necessity for all SAP HANA Administrators to make their lives simple! This course has been created for all SAP HANA administrators: database, system, or basis admins. You’ll learn about all the tasks required to manage SAP HANA systems. The course will focus on SAP HANA cockpit web-based tool including checking alerts, monitor resources, and analyze performance. We’ll also focus on performing system configuration, backup recovery, and maintaining security

Self Paced

Self-Paced

Administration SAP SAP HANA

Coursera

University of Michigan

Internet History, Technology, and Security (Coursera)

Security & Networking

The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today.

Nov 16th 2026

5-12 Weeks

Network Security Computing

Coursera

Princeton University

Bitcoin and Cryptocurrency Technologies (Coursera)

CS: Information & Technology

To really understand what is special about Bitcoin, we need to understand how it works at a technical level. We’ll address the important questions about Bitcoin, such as: How does Bitcoin work? What makes Bitcoin different? How secure are your Bitcoins? How anonymous are Bitcoin users? What determines the price of Bitcoins? Can cryptocurrencies be regulated? What might the future hold?

Nov 16th 2026

5-12 Weeks

Community Cryptographic Algorithms Decentralization

Coursera

Icahn School of Medicine at Mount Sinai

Experimental Methods in Systems Biology (Coursera)

Sci: Biology & Life Sciences

Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging. A key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. This in turns allows us to build more detailed quantitative models of cellular function, which can give important insight into applications ranging from biotechnology to human disease. This course gives a broad overview of a variety of current experimental techniques used in modern systems biology, with focus on obtaining the quantitative data needed for computational modeling purposes in downstream analyses.

Nov 16th 2026

5-12 Weeks

Biology Cell Systems Biology

Coursera

University of Illinois at Urbana-Champaign

Data Analytics in Accounting Capstone (Coursera)

Statistics & Data Analysis Data Science

This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem. You will be provided with a loan dataset from Lending Club which is the largest peer-to-peer lending platform. You will explore the characteristics of the features in the dataset through statistical analysis, exploratory data analysis and visualization. You will also create a machine learning model to predict whether a loan will be fully paid or not.

Feb 26th 2024

3 Weeks

Machine Learning Accounting Portfolio

Coursera

IBM

IBM z/OS Rexx Programming (Coursera)

CS: Software Engineering CS: Programming

This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX. A total of 11 hands-on labs on an IBM Z server (via remote Skytap access) are part of this course.

Nov 2nd 2026

5-12 Weeks

Programming Computer Programming z/OS

Coursera

EDHEC Business School

Python and Machine-Learning for Asset Management with Alternative Data Sets (Coursera)

Economics & Finance Business

Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications.

Nov 2nd 2026

4 Weeks

Python Machine Learning Asset Management