

Our Courses
Penetration Testing and Incident Response
Learn about the various phases of penetration testing, incident response, and the forensic process. This course is part of the IBM Cybersecurity Analyst Professional Certificate!
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Self Paced
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16
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English
Threat Intelligence in Cybersecurity
Gain an understanding of network defensive tactics, network access controls, as well as network monitoring tools. This course is part of the IBM Cybersecurity Analyst Professional Certificate!
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Course by
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Self Paced
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13
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English
Cybersecurity Capstone and Case Studies
Research real-world data breaches and explore different incident response methodologies and security models. This course is part of the IBM Cybersecurity Analyst Professional Certificate!
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Self Paced
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12
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English
Cybersecurity Analyst Assessment
Showcase your expertise in Cybersecurity fundamentals in this final assessment of the IBM Cybersecurity Analyst Professional Certificate!
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Self Paced
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14
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English
Data Analytics Basics for Everyone
Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.
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20
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English
Analyzing Data with Python
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
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15
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English
Analyzing Data with Excel
Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.
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5
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English
Analyzing Data with R
R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.
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15
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English
Data Analytics and Visualization Capstone Project
Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task.
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Course by
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Self Paced
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15
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English
Data Engineering Basics for Everyone
Learn about data engineering concepts, ecosystem, and lifecycle. Also learn about the systems, processes, and tools you need as a Data Engineer in order to gather, transform, load, process, query, and manage data so that it can be leveraged by data consumers for operations, and decision-making.
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15
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English
Introduction to SQL
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.
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Course by
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15
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English
SQL for Data Science
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
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27
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English
Relational Database Administration (DBA)
This course helps you develop the foundational skills required to perform the role of a Database Administrator (DBA) including designing, implementing, securing, maintaining, troubleshooting and automating databases such as MySQL, PostgreSQL and Db2.
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Course by
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Self Paced
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35
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English
SQL Concepts for Data Engineers
In this short course you will learn additional SQL concepts such as views, stored procedures, transactions and joins.
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15
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English
Data Engineering Capstone Project
This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.
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6
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English
Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
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30
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English
Deep Learning with Python and PyTorch
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.
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72
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English
Deep Learning with Tensorflow
Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.
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English
Applied Deep Learning Capstone Project
In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.
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Course by
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64
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English
Introduction to Data Science
Learn about the world of data science first-hand from real data scientists.
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Course by
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Self Paced
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33
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English
The Data Science Method
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.
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English
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
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7
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English
Data Science and Machine Learning Capstone Project
Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.
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Course by
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28
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English
Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
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28
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English
Data Visualization and Building Dashboards with Excel and Cognos
Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.
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Course by
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28
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English