Supervised Machine Learning: Classification (Coursera)

https://www.coursera.org/learn/supervised-machine-learning-classification

This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes. By the end of this course you should be able to: -Differentiate u

Unsupervised Machine Learning (Coursera)

https://www.coursera.org/learn/ibm-unsupervised-machine-learning

This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. The hands-on section of this course focuses on using best practices for unsupervised learning. By the end of this course you should be able to:

Advanced Data Science Capstone (Coursera)

https://www.coursera.org/learn/advanced-data-science-capstone

This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability.  Please note: You are requested to create a short video presentation

Advanced Data Science with IBM (CourseraSpecs)

https://www.coursera.org/specializations/advanced-data-science-ibm

Offered by IBM. Expert in Data Science, Machine Learning and AI. Become an IBM-approved Expert in Data Science, Machine Learning and ...

Advanced Machine Learning and Signal Processing (Coursera)

https://www.coursera.org/learn/advanced-machine-learning-signal-processing

>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about th

AI Capstone Project with Deep Learning (Coursera)

https://www.coursera.org/learn/ai-deep-learning-capstone

In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.

AI Foundations for Everyone (CourseraSpecs)

https://www.coursera.org/specializations/ai-foundations-for-everyone

Offered by IBM.

AI Workflow: AI in Production (Coursera)

https://www.coursera.org/learn/ibm-ai-workflow-ai-production

This is the sixth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.     This course focuses on models in production at a hypothetical streaming media company.  There is an introduction to IBM Watson Machine Learning.  You will build your own API in a Docker container and learn how to manage con

AI Workflow: Business Priorities and Data Ingestion (Coursera)

https://www.coursera.org/learn/ibm-ai-workflow-business-priorities-data-ingestion

This is the first course of a six part specialization.  You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites.  Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable

AI Workflow: Data Analysis and Hypothesis Testing (Coursera)

https://www.coursera.org/learn/ibm-ai-workflow-data-analysis-hypothesis-testing

This is the second course in the IBM AI Enterprise Workflow Certification specialization.  You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.   In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA).  Best practices for data visualization, handling missing data, and hypothesis testing will be introd

AI Workflow: Enterprise Model Deployment (Coursera)

https://www.coursera.org/learn/ibm-ai-workflow-machine-learning-model-deployment

This is the fifth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course introduces you to an area that few data scientists are able to experience: Deploying models for use in large enterprises.  Apache Spark is a very commonly used framework for running machine learning models.  Best pr

AI Workflow: Feature Engineering and Bias Detection (Coursera)

https://www.coursera.org/learn/ibm-ai-workflow-feature-engineering-bias-detection

This is the third course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.   Course 3 introduces you to the next stage of the workflow for our hypothetical media company.  In this stage of work you will learn best practices for feature engineering, handling class imbalances and detecting bias in the

AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera)

https://www.coursera.org/learn/ibm-ai-workflow-machine-learning-vr-nlp

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.  Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company.  The first topic covers the complex topic of evaluation metrics, where you wil

Application Development using Microservices and Serverless (Coursera)

https://www.coursera.org/learn/applications-development-microservices-serverless-openshift

Welcome to this introductory course on microservices and serverless, essential technologies for cloud native and application modernization workloads. Rather than building large applications, known as monoliths, that perform all the functionality, microservices break down larger applications into smaller pieces that are independently maintainable and scalable, providing a host of benefits. This architecture is now used in the largest software organizations in the world, because it provides cost

Application Security for Developers and DevOps Professionals (Coursera)

https://www.coursera.org/learn/application-security-for-developers-devops

How vulnerable are your applications to security risks and threats? This course will help you identify vulnerabilities and monitor the health of your applications and systems. You’ll examine and implement secure code practices to prevent events like data breaches and leaks, and discover how practices like monitoring and observability can keep systems safe and secure. You will gain extensive knowledge on various practices, concepts, and processes for maintaining a secure environment, including

Applied AI with DeepLearning (Coursera)

https://www.coursera.org/learn/ai

>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other di

Applied Data Science (CourseraSpecs)

https://www.coursera.org/specializations/applied-data-science

Offered by IBM. Get hands-on skills for a career in data science. Learn Python, analyze and visualize data. Apply your skills to data ...

Applied Data Science Capstone (Coursera)

https://www.coursera.org/learn/applied-data-science-capstone

This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets. In this course you will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, explo

Applied Data Science with R (CourseraSpecs)

https://www.coursera.org/specializations/applied-data-science-r

Offered by IBM. Build Your Data Science Skills with R & SQL. Master the ability to transform data into information and insights.

Applied Software Engineering Fundamentals (CourseraSpecs)

https://www.coursera.org/specializations/software-engineering-fundamentals

Offered by IBM. Build the foundation of your career in Software. Develop hands-on experience with Git, GitHub, Linux, and Python, and learn ...

Assessment for Data Analysis and Visualization Foundations (Coursera)

https://www.coursera.org/learn/data-analysis-visualization-foundations-assessment

This course is the final step in the Data Analysis and Visualization Foundations Specialization. It contains a graded final examination that covers content from three courses: Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos. From the Introduction to Data Analytics course, your understanding will be assessed on topics like the data ecosystem and the fundamentals of data analysis, covering tools for data gathering and d

Back-end Application Development Capstone Project (Coursera)

https://www.coursera.org/learn/backend-development-capstone-project

This is the final course in the IBM Backend Development Professional Certificate. This capstone project course will give you the chance to practice the work that back-end developers do in real life when working with applications. In this course, you will assume the role of a real-life developer working to develop and deploy back-end microservices and applications. You will be tasked to develop, deploy, and integrate an application composed of several microservices, and integrating them seaml

Basic System Programming on IBM Z (Coursera)

https://www.coursera.org/learn/system-programming

The foundational knowledge for the position of an IBM z/OS System Programmer and System Administrator begins with this third and final course in the three course professional certificate track. This course provides hands-on labs to everyday z/OS tasks with JCL, JES, ISHELL and HFS, and z/OSMF. Topics covered include VSAM, z/OS System Libraries, the Language Environment, Generation Data Groups, RAIM, DB2, UNIX System Services, and USS File System. On successful completion of this course, the lea

BI Foundations with SQL, ETL and Data Warehousing (CourseraSpecs)

https://www.coursera.org/specializations/bi-foundations-sql-etl-data-warehouse

Offered by IBM. Springboard for BI Analytics success. Develop hands-on skills for building data pipelines, warehouses, reports and dashboards.

Building AI Applications with Watson APIs (Coursera)

https://www.coursera.org/learn/building-ai-applications

A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.

Building AI Powered Chatbots Without Programming (Coursera)

https://www.coursera.org/learn/building-ai-powered-chatbots

This course will teach you how to create useful chatbots without the need to write any code. Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them. True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. D

Building Deep Learning Models with TensorFlow (Coursera)

https://www.coursera.org/learn/building-deep-learning-models-with-tensorflow

The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems.

Cloud Application Development Foundations (CourseraSpecs)

https://www.coursera.org/specializations/ibm-cloud-application-development-foundations

Offered by IBM. Kickstart Your Career as a Cloud Native Developer. Learn the foundational front-end and back-end skills for developing and ...

COBOL Programming with VSCode (Coursera)

https://www.coursera.org/learn/cobol-programming-vscode

Professor Tak Auyeung of American River College, said it beautifully, “A programming language is not a fashion statement” it is used for a purpose. Whether it is to add new features, modify logic, create APIs to integrate it into other applications, or implement modern development practices, businesses around the world need application developers who know COBOL. This introductory COBOL course helps a novice learn the Structure of COBOL programs, Data types & Variable Handling, Intrinsic Functio

Collaborate Effectively for Professional Success (Coursera)

https://www.coursera.org/learn/collaborate-effectively

Collaboration is not just the act of working together. It goes beyond that. Through collaboration, you can accomplish much more than what you would if you worked alone. Having the skills to communicate with the people you are working with and being able to work as a team towards your goal are just some of the skills you will learn in this course to help you collaborate effectively in the workplace. In today's day and age, collaborating as a group does not just mean being able to see and commun

Continuous Integration and Continuous Delivery (CI/CD) (Coursera)

https://www.coursera.org/learn/continuous-integration-and-continuous-delivery-ci-cd

A principle of DevOps is to replace manual processes with automation to improve efficiency, reduce human error, and accelerate software delivery. This requires automation that continuously integrates code changes and continuously delivers those changes to a production environment. This course introduces you to Continuous Integration and Continuous Delivery (CI/CD), an automated approach to software development. You’ll discover the benefits of CI/CD for creating a DevOps pipeline and explore po

Core 1: Hardware and Network Troubleshooting (Coursera)

https://www.coursera.org/learn/core1-hardware-and-network-troubleshooting

Prepare for a rewarding career in IT with IBM's Core 1: Hardware and Network Troubleshooting course. Gain the necessary skills and knowledge to set up, configure, and troubleshoot devices, networks, and systems in today's fast-paced world. You will gain a solid understanding of hardware and networking concepts, including troubleshooting techniques for laptops, mobile devices, and video and resolution issues. You will also learn to identify and troubleshoot storage and printer issues, configure

Cyber Threat Intelligence (Coursera)

https://www.coursera.org/learn/ibm-cyber-threat-intelligence

This course gives you the background needed to gain Cybersecurity skills as part of the Cybersecurity Security Analyst Professional Certificate program. You will understand network defensive tactics, define network access control and use network monitoring tools. You will understand data protection risks and explore mobile endpoint protection. Finally you will recognize various scanning technologies, application security vulnerabilities and threat intelligence platforms. This course also give

Cybersecurity Capstone: Breach Response Case Studies (Coursera)

https://www.coursera.org/learn/ibm-cybersecurity-breach-case-studies

This course gives you the background needed to gain Cybersecurity skills as part of the IBM Cybersecurity Professional Certificate programs. You will explore incident response methodologies and security models. You will learn to recognize and categorize key types of vulnerabilities and associated attacks against today's organizations. You will explore in depth several past and recent breaches to learn how they were detected and what was done or could have been done to reduce the threat risk

Cybersecurity Compliance Framework & System Administration (Coursera)

https://www.coursera.org/learn/cybersecurity-compliance-framework-system-administration

This course gives you the background needed to understand the key cybersecurity compliance and industry standards. This knowledge will be important for you to learn no matter what cybersecurity role you would like to acquire or have within an organization. You will learn the basic commands for user and server administration as it relates to security. You will need this skill to be able to understand vulnerabilities within your organizations operating systems. You will learn the concepts of e

Cybersecurity Fundamentals (CourseraSpecs)

https://www.coursera.org/specializations/cybersecurity-fundamentals

Offered by IBM. Unlock your cybersecurity professional potential. Develop fluency in essential Cybersecurity skills and competencies and ...

Cybersecurity Roles, Processes & Operating System Security (Coursera)

https://www.coursera.org/learn/cybersecurity-roles-processes-operating-system-security

This course gives you the background needed to understand basic Cybersecurity around people. process and technology. You will learn: ● Understand the key cybersecurity roles within an Organization. ● List key cybersecurity processes and an example of each process. ● Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile. ● Understand the concept of Virtualization as it relates to cybersecurity Finally, you

Data Analysis and Visualization Foundations (CourseraSpecs)

https://www.coursera.org/specializations/data-analysis-visualization-foundations

Offered by IBM. Get ahead w/ Data Analysis & Visualization skills. Enhance your career by learning to analyze data using Excel spreadsheets, ...

Data Analysis with Python (Coursera)

https://www.coursera.org/learn/data-analysis-with-python

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources

Data Analyst Career Guide and Interview Preparation (Coursera)

https://www.coursera.org/learn/career-guide-and-interview-prep-for-data-analyst-pc

Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and

Data Engineering Capstone Project (Coursera)

https://www.coursera.org/learn/data-enginering-capstone-project

Showcase your skills in this Data Engineering project! In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate. You will demonstrate your knowledge of Data Engineering by assuming the role of a Junior Data Engineer who has recently joined an organization and be presented with a real-world use case that requires architecting and implementing a data analytics platform.

Data Engineering Career Guide and Interview Preparation (Coursera)

https://www.coursera.org/learn/data-engineering-career-guide-and-interview-preparation

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and

Data Engineering Foundations (CourseraSpecs)

https://www.coursera.org/specializations/data-engineering-foundations

Offered by IBM. Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases ...

Data Science Fundamentals with Python and SQL (CourseraSpecs)

https://www.coursera.org/specializations/data-science-fundamentals-python-sql

Offered by IBM. Build the Foundation for your Data Science career. Develop hands-on experience with Jupyter, Python, SQL. Perform ...

Data Science Methodology (Coursera)

https://www.coursera.org/learn/data-science-methodology

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or simil

Data Science with R - Capstone Project (Coursera)

https://www.coursera.org/learn/data-science-with-r-capstone-project

In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on

Data Scientist Career Guide and Interview Preparation (Coursera)

https://www.coursera.org/learn/career-guide-and-interview-prep-for-data-science-pc

Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data scientist position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter a

Data Visualization and Dashboards with Excel and Cognos (Coursera)

https://www.coursera.org/learn/data-visualization-dashboards-excel-cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Cha

Data Visualization with Python (Coursera)

https://www.coursera.org/learn/python-for-data-visualization

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techn

Data Visualization with R (Coursera)

https://www.coursera.org/learn/data-visualization-r

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data ba