149 Courses and Certifications

IBM Courses & Certifications 2026

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Python Project for Data Science

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Certificate

Python Project for Data Science

The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.

Python Project for Data Science online training involves 8 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more. 

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1 Weeks
Intermediate
1,699
Skills Covered:
Data science knowledge Knowledge of Python
Data Visualization with R

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Certificate

Data Visualization with R

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 1 week of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

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1 Weeks
Beginner
1,699
Skills Covered:
Data science knowledge R Programming Knowledge of Data Visualization
Python Project for Artificial Intelligence and Application Development

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Certificate

Python Project for AI & Application Development

The Python Project for AI & Application Development online certification was developed by IBM Skills Network and is taught by Ramesh Sannareddy, a Data Engineering Expert, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, which is available through Coursera and is intended to help students gain an understanding of the techniques to put their knowledge of the strategies and concepts of python to use for artificial intelligence operations and developing applications.

Students are strongly encouraged to take IBM's “Python for Data Science, AI, and Development” course before enrolling in the Python Project for AI & Application Development online training. Python Project for AI & Application Development online classes cover subjects including status code analysis, application testing, and python packages and tools like Flask and Theia labs. By the end of the course, students will have the skills necessary to start utilizing Python to develop AI-powered applications, create and execute unit tests, and distribute the application.

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1 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Python Knowledge of Artificial Intelligence Web application development skills
Python for AI and Development Project

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IBM via Edx
Certificate

Python for AI & Development Project

1 Weeks
Intermediate
Free
Python for Data Science Project

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IBM via Edx
Certificate

Python for Data Science Project

1 Weeks
Intermediate
Free
Exploratory Data Analysis for Machine Learning

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Certificate

Exploratory Data Analysis for Machine Learning

1 Weeks
Intermediate
Software Developer Career Guide and Interview Preparation

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Introduction to Agile Development and Scrum

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Introduction to Enterprise Computing

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Certificate

Introduction to Enterprise Computing

1 Weeks
Beginner
Introduction to Networking and Storage

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Certificate

Introduction to Networking and Storage

1 Weeks
Beginner
Hands on Introduction to Linux Commands and Shell Scripting

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Certificate

Hands-on Introduction to Linux Commands and Shell Scripting

Shell scripting is the collection of operations that must be run so that the shell can do so. Long and repeated command procedures are allegedly combined within one program so that they can be performed as needed. The main goal of writing a shell script is to lighten the end workload. Hands-on Introduction to Linux Commands and Shell Scripting online certification is developed by IBM Skills Network and taught by Rav Ahuja - Global Program Director and Sam Prokopchuk - Data Scientist, which is offered by Coursera.

Hands-on Introduction to Linux Commands and Shell Scripting online course involves 1 week of hands-on training materials that provide a practical introduction to Linux, commonly used Linux commands, Unix commands, and bash shell scripting to automate a range of activities. Hands-on Introduction to Linux Commands and Shell Scripting online classes discusses the concepts and techniques involved with topics like Linux distribution, networking, and shell scripting as well as will explain the methodologies for interacting with the Linux terminal, running commands, navigating directories, editing files, installing software, and more.

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1 Weeks
Beginner
1,699
Skills Covered:
Knowledge of Linux
Introduction to Data Engineering

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Certificate

Introduction to Data Engineering

1 Weeks
Beginner
Free
Python for Data Engineering Project

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IBM via Edx
Certificate

Python for Data Engineering Project

1 Weeks
Intermediate
SQL Concepts for Data Engineers

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IBM via Edx
Certificate

SQL Concepts for Data Engineers

1 Weeks
Intermediate
Generative AI Elevate Your Data Science Career

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Certificate

Generative AI: Elevate Your Data Science Career

Generative AI: Elevate Your Data Science Career certification course lasts for 12 hours (approximately). The programme provides students with in-depth knowledge of generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai for querying and creating the data. The course helps students to examine real-world scenarios where generative AI is used.   

The certification course is taught in English and it is also available in 21 other languages. The Generative AI: Elevate Your Data Science Career certification by Coursera offers generative AI skills in hands-on labs and projects. The students will be able to apply generative AI techniques in developing and refining ML models.    

The programme offers a comprehensive curriculum to the students that includes data science and generative AI, the use of generative AI for Data Science. Students will also be able to enhance their related projects with the guidance of industry experts. The course offers videos, readings, assignments, app items and plugins for a better understanding of the subject.  

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

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1 Weeks
Free
Penetration Testing, Incident Response and Forensics

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Certificate

Penetration Testing, Incident Response and Forensics

The online course on Penetration Testing, Incident Response and Forensics by Coursera is part of a series of courses that is in the domain of “cybersecurity”. The session allows the students to develop their skills in the technical and moral aspects of hacking. The nuances of cybersecurity and its application will be elaborated in the Penetration Testing, Incident Response and Forensics certification course. 

In the course, the applicants will be studying the different phases that are involved in penetration testing. The professors will be guiding the students to gather data involved in penetration testing in a more professional way. The Penetration Testing, Incident Response and Forensics certification syllabus involves the chapters of- Analysis & reporting, Network data, Application data, Operating system data, Functions and methods, Data structures, Python getting started, Scripting languages, Python basics and others.

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17 Hours
Beginner
Skills Covered:
Knowledge of Python
Data Scientist Career Guide and Interview Preparation

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Certificate

Data Scientist Career Guide and Interview Preparation

The Data Scientist Career Guide and Interview Preparation certification course duration is 9 hours (approximately). The certification programme is a beginner level course and its instructor is IBM Skills Network Team. The course offers a robust curriculum to the students that covers building a foundation, applying and preparing for the interview and interviewing.

The The participants will gain in-depth knowledge of the role of a data scientist and career paths in the field. The Data Scientist Career Guide and Interview Preparation certification by Coursera offers types of interviews, what to expect and how to prepare for it. The students will gain career development, job preparation and resume building skills.

Also Read: Online Data Science With R And Python Courses & Certifications

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9 Hours
Beginner
1,699
Introduction to Devops

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Certificate

Introduction to Devops

9 Hours
Beginner
Free
Data Topology

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Certificate

IBM Data Topology

6 Hours
Intermediate
Free
Machine Learning Introduction for Everyone

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Introduction to Enterprise Resiliency

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Certificate

Introduction to Enterprise Resiliency

6 Hours
Beginner
Free
Application Modernization for Enterprise Systems

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Certificate

Application Modernization for Enterprise Systems

3 Hours
Beginner
Free
Statistics for Data Science with Python

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Certificate

Statistics for Data Science with Python

The Statistics for Data Science with Python online course introduces you to the basics of statistical procedures and methods used for data analysis. After completing this programme, you will have practical knowledge of essential topics in statistics, including – data collection, summarizing data using descriptive statistics, displaying and visualizing data, and examining relationships between variables.

The Statistics for Data Science with Python syllabus also includes hypothesis testing, probability distributions, expected values, ANOVA (analysis of variance), correlation, and regression analysis. You will also get hands-on training in statistical analysis using Jupyter notebooks and Python – the tools of choice for Data Scientists and Data Analysts. 

At the end of the Statistics for Data Science with Python course, you will undertake a project to apply various concepts learned during the course and solve a Data Science problem that involves a real-life inspired scenario. Coursera also provides a certificate upon course completion, which offers tangible career benefits. However, you must pay a fee to get the certification.

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3 Hours
3,384
Skills Covered:
Statistical skills Knowledge of Data Visualization
How to Modernize Applications with IBM Customer Information Control System

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Certificate

How to Modernize applications with IBM CICS

2 Hours
Intermediate
Free
Supervised Machine Learning Classification

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Certificate

Supervised Machine Learning: Classification

A part of the multiple series programme, the online session on Supervised Machine Learning: Classification by Coursera provides the students with a detailed emphasis on the main types of modelling that are involved with the genre of machine learning. The students will learn elaborately to train the predictive models that are involved and used across various domains. The Supervised Machine Learning: Classification certification syllabus will be covered on the online platform by the students over a time frame of 24 hours. The course will train the students professionally in the domain of machine learning.

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Intermediate
3,384
Skills Covered:
Machine learning
Application Development using Microservices and Serverless

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Advanced Data Science Capstone

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Certificate

Advanced Data Science Capstone

The Advanced Data Science Capstone certification course is specialized in the field of data science presented by IBM, the course is structured into week dynamics and the syllabus is in accordance with that only. This course will provide an immense Advanced Data Science Capstone training that will be focused on a deep understanding of the huge processing of data, exploration, and data visualization. 

Basically, the course is structurally based on deep learning and machine learning that will help them to be more effective and efficient in solving real-world problems and situations. Candidates need to pass the last assessment that is the project work in order to attain Advanced Data Science Capstone certification by the end of the completion of the course. Candidates can get constant feedback along with every module which can help them to make their fundamentals and basics stronger. 

The Advanced Data Science Capstone online course will assist the applicant in learning and demonstrating an understanding of the characteristics of various algorithms, systems, and technologies, as well as how they affect model efficiency and scalability, which are needed in the data science area. Candidates can apply for the course via an online platform and can submit the assessments via the same model only. 

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Expert
4,086
Skills Covered:
Data science knowledge
Applied AI with DeepLearning

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Certificate

Applied AI with Deep Learning

The Applied AI with Deep Learning online course is provided as a part of the IBM advanced data science certification programme for giving much-needed insights into the models of deep learning for students. The Applied AI with Deep Learning certification syllabus will dive into the fundamentals of linear algebra, neural networks, deep learning frameworks and advanced concepts such as time series forecasting, natural language processing and image recognition. The students will be trained at an advanced level of learning and it provides a sharable and verified certificate upon completion. The Applied AI with Deep Learning by Coursera is provided in the English language with subtitles in many languages and the learning can be done easier with flexible deadlines for submission of projects and assignments.

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Expert
4,074
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Apache Spark

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