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Data Analyst Career Guide and Interview Preparation (Coursera) https://www.coursera.org/learn/career-guide-and-interview-prep-for-data-analyst 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 |
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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. |
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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 |
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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 ... |
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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 ... |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Data Warehouse Fundamentals (Coursera) https://www.coursera.org/learn/data-warehouse-fundamentals Whether you’re an aspiring data engineer, data architect, business analyst, or data scientist, strong data warehousing skills are a must. With the hands-on experience and competencies, you gain on this course, your resume will catch the eye of employers and power up your career opportunities. A data warehouse centralizes and organizes data from disparate sources into a single repository, making it easier for data professionals to access, clean, and analyze integrated data efficiently. |
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Data Warehousing Capstone Project (Coursera) https://www.coursera.org/learn/data-warehousing-capstone-project In this course you will apply a variety of data warehouse engineering skills and techniques you have learned as part of the previous courses in the IBM Data Warehouse Engineer Professional Certificate. You will assume the role of a Junior Data Engineer who has recently joined the organization and be presented with a real-world use case that requires a data warehouse engineering solution. |
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Database Essentials and Vulnerabilities (Coursera) https://www.coursera.org/learn/database-essentials-and-vulnerabilities The average cost of a data breach is nearly $5 million, with 70% of the affected organizations reporting significant or very significant disruption, according to an IBM report. Hence, businesses are hunting hard for cybersecurity experts who can safeguard against such threats. This course builds critical database security skills that employers are looking for. During the course, you’ll look at key concepts of database management, including relational and non-relational databases. You’ll lear |
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Databases and SQL for Data Science with Python (Coursera) https://www.coursera.org/learn/sql-data-science Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will: -write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filte |
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DataOps Methodology (Coursera) https://www.coursera.org/learn/ibm-data-ops-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 b |
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Deep Learning and Reinforcement Learning (Coursera) https://www.coursera.org/learn/deep-learning-reinforcement-learning This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning. Once |
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Deep Learning with PyTorch (Coursera) https://www.coursera.org/learn/advanced-deep-learning-with-pytorch This course advances from fundamental machine learning concepts to more complex models and techniques in deep learning using PyTorch. This comprehensive course covers techniques such as Softmax regression, shallow and deep neural networks, and specialized architectures, such as convolutional neural networks. In this course, you will explore Softmax regression and understand its application in multi-class classification problems. You will learn to train a neural network model and explore Ove |
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Deep Neural Networks with PyTorch (Coursera) https://www.coursera.org/learn/deep-neural-networks-with-pytorch The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. F |
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Delivering Quality Work with Agility (Coursera) https://www.coursera.org/learn/delivering-quality-work-with-agility When you hand in work in a professional workspace, employers expect it to be good quality work and done in a timely manner. By taking this short course you will learn about consistency and how to deliver quality work and experiences to clients. In order to deliver good quality work you need to know how to do efficiently do research and how to deliver it. This short course will teach you exactly that, and even more skills that are essential to being able to deliver quality work. The course is d |
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Designing User Interfaces and Experiences (UI/UX) (Coursera) https://www.coursera.org/learn/designing-user-interfaces-and-experiences-uiux UI and UX design is a thriving industry with numerous prospects for anyone with the right skills. This course is designed for those who are interested in starting a career in designing UI and UX experiences as well as developers who want to create web and front-end applications. It emphasizes the key concepts, tools, and methodologies used in front-end development. Web and mobile-accessible devices are transforming the world. Nowadays, everyone has a smartphone, tablet, smart TV, and/or lapto |
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Developing AI Applications with Python and Flask (Coursera) https://www.coursera.org/learn/python-project-for-ai-application-development This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including: - Develop functions and application logic - Exchange data using Watson AI libraries - Write unit tests, and - Package the application for distribution. You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI po |
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Developing Back-End Apps with Node.js and Express (Coursera) https://www.coursera.org/learn/developing-backend-apps-with-nodejs-and-express In a recent Stack Overflow survey, Node.js was used by about 50% of the developers who answered the survey, making it the most used server-side technology. Express ranked as the fourth most popular web technology overall, making it the most popular server-side web framework. In this course, you will focus on Node.js and Express. Specifically, you will - develop applications using asynchronous callbacks and promises - create REST APIs and perform CRUD operations - implement authentication |
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Developing Cloud Apps with Node.js and React (Coursera) https://www.coursera.org/learn/node-js Note: This course has been replaced by the following two IBM courses: - Developing Front-End Apps with React - Developing Back-End Apps with Node.js and Express Are you ready to learn about some of the most in-demand libraries in back-end and front-end development? This is the course for you! In a recent Stack Overflow survey, JavaScript was ranked as the most commonly used programming language. Node.js and React.js were voted as the most popular web frameworks and technologies. In this |
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Developing Cloud Native Applications (Coursera) https://www.coursera.org/learn/developing-cloud-native-applications Do you want to learn about developing applications that are cloud native right from conception to implementation? In this course, you’ll begin with some crucial cloud concepts such as Cloud Native Applications, CNCF and Hybrid Cloud. You will dive into specific tools and techniques for developing cloud native apps. You’ll then learn how to use CLI to develop, test and deploy applications for IBM Cloud with the use of Node.js . You will further use DevOps to maintain application development us |
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Developing Front-End Apps with React (Coursera) https://www.coursera.org/learn/developing-frontend-apps-with-react React is one of the most popular frameworks in the Web and Front-end application Development category. In this course, you will - build rich Front-End applications with React and ES6 - connect React components using data and state - write rich React components with advanced features like Hooks and Redux In addition, you will explore how to access the React web framework user interface (UI) library and run rich React applications. You will find ways to use React components and |
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Developing Interpersonal Skills (Coursera) https://www.coursera.org/learn/interpersonal-skills In order to have a successful professional life, you have to be able to communicate with the people you work with. You have to be able to communicate with co-workers in a way that establishes respect and influence. This short course is designed to teach you how to communicate with the people you work with in ways that shows confidence and gives them a sense of trust. By taking this course you will learn how to assert your influence and how you can use these skills to do things like resolve is |
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Developing Mobile Apps with Flutter (CourseraSpecs) https://www.coursera.org/specializations/developing-mobile-apps-with-flutter Fast-track your mobile development career.. Get in-demand Flutter and Dart skills and build cross-platform mobile apps in just 3 months. No ... |
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Developing Mobile Apps with React Native (CourseraSpecs) https://www.coursera.org/specializations/developing-mobile-apps-with-react-native Build job-ready React Native skills employers need. Add JavaScript, React, and React Native to your resume in less than 3 months and power ... |
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Developing Websites and Front-Ends with Bootstrap (Coursera) https://www.coursera.org/learn/developing-websites-and-front-ends-with-bootstrap Building flexible, fast, and responsive websites and front-ends with a consistent look and feel has become a basic requirement. To accomplish this, the use of libraries and frameworks is trending. As a front-end developer, it is important that you know at least one front-end framework. Bootstrap is a CSS framework that provides an extensive set of templates that help with speeding up the website development process. According to W3Tech.com, Bootstrap is a popular CSS framework that is used by 1 |
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DevOps Capstone Project (Coursera) https://www.coursera.org/learn/devops-capstone-project Showcase your DevOps and Software Engineering skills with this hands-on Capstone project! In this course you will apply the skills and techniques you have learned as part of the previous courses in the Professional Certificate. During the project you will develop, test, deploy, monitor, and enhance a secure microservices-based application on Cloud, over the course of several sprints. You’ll develop an Agile plan by developing user stories and a Kanban board using ZenHub and GitHub. This plan w |
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DevOps, Cloud, and Agile Foundations (CourseraSpecs) https://www.coursera.org/specializations/devops-cloud-and-agile-foundations Offered by IBM. |
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Django Application Development with SQL and Databases (Coursera) https://www.coursera.org/learn/developing-applications-with-sql-databases-and-django Working with databases is a key skill for developers, especially those in Back-End, Full Stack, and DevOps roles. This course will teach you the fundamentals of relational databases and how to access them from your applications. Some of the essential application development tasks include accessing, processing, and presenting data. Data is stored in various databases, either on-premise or on the cloud, and developers will need to learn how to talk to them via programming languages. In this c |
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Encryption and Cryptography Essentials (Coursera) https://www.coursera.org/learn/encryption-and-cryptography-essentials Over 10,600 confirmed breaches were reported globally in 2024, exposing millions of records, including sensitive healthcare and financial data. Organizations need cybersecurity professionals who can protect them against this costly risk. This Encryption and Cryptography Essentials course gives aspiring cybersecurity professionals job-ready skills in encryption, hashing, and digital signatures—key competencies employers are looking for. You’ll master symmetric (AES) and asymmetric (RSA) encryp |
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ETL and Data Pipelines with Shell, Airflow and Kafka (Coursera) https://www.coursera.org/learn/etl-and-data-pipelines-shell-airflow-kafka Delve into the two different approaches to converting raw data into analytics-ready data. One approach is the Extract, Transform, Load (ETL) process. The other contrasting approach is the Extract, Load, and Transform (ELT) process. ETL processes apply to data warehouses and data marts. ELT processes apply to data lakes, where the data is transformed on demand by the requesting/calling application. In this course, you will learn about the different tools and techniques that are used with ETL a |
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Excel Basics for Data Analysis (Coursera) https://www.coursera.org/learn/excel-basics-data-analysis-ibm Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all |
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Exploratory Data Analysis for Machine Learning (Coursera) https://www.coursera.org/learn/ibm-exploratory-data-analysis-for-machine-learning This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, |
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Flutter and Dart: Developing iOS, Android, and Mobile Apps (Coursera) https://www.coursera.org/learn/flutter-and-dart-developing-ios-android-mobile-apps “Flutter is the most popular cross-platform mobile framework used by global developers.” (Statista). This course, part of the IBM iOS and Android Mobile App Developer Professional Certificate, gives aspiring mobile app developers essential skills employers look for. During this course, you’ll learn about the Flutter framework and the features that make it a popular tool for building Android and iOS mobile applications. You’ll explore Flutter’s widgets, how to use stateful and stateless widget |
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Front-End Development Capstone Project (Coursera) https://www.coursera.org/learn/front-end-development-capstone-project According to internetlivestats.com, there are over 1.58 billion websites of which 200 million are active websites. This number is constantly growing with most businesses leaning towards building their own websites or enhancing them. This requires skilled web developers to get the job done. A key objective of this capstone project is to help you get all your design and coding skills together to implement a responsive website. This will help you gain the confidence and comfort in building website |
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Full Stack Cloud Development Capstone Project (Coursera) https://www.coursera.org/learn/ibm-cloud-native-full-stack-development-capstone Show your mastery of full stack application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution. The project provides you with an opportunity to solidify your full stack proficiency. As you design a dynamic user experience, you will develop frontend pages, add user administration, build actions for database operations, create backend services, and conf |
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Full Stack Software Developer Assessment (Coursera) https://www.coursera.org/learn/full-stack-software-developer-assessment This is the final course in the IBM Full Stack Software Developer Professional Certificate. It will test your knowledge and the skills you’ve acquired so far. This course contains the graded final examination covering content from various courses in the PC. You will be assessed on topics such as core cloud computing concepts; languages like HTML, CSS, JavaScript, and Python; frameworks such as Node.js, Express, and React; and back-end technologies such as Docker, Kubernetes, OpenShift, SQL, D |
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Fundamentals of AI Agents Using RAG and LangChain (Coursera) https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain Business demand for technical gen AI skills is exploding and AI engineers who can work with large language models (LLMs) are in high demand. This Fundamentals of Building AI Agents using RAG and LangChain course builds job-ready skills that will fuel your AI career. During this course, you’ll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. You’ll look at RAG, its applications, and its process, along with encoders, their tokenizers, and the FAISS libra |
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Fundamentals of Scalable Data Science (Coursera) https://www.coursera.org/learn/ds Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models. In this course we teach you the fundamentals of Apache Spark using python and pyspark. We'll introduce |
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Gen AI Foundational Models for NLP & Language Understanding (Coursera) https://www.coursera.org/learn/gen-ai-foundational-models-for-nlp-and-language-understanding This IBM course will teach you how to implement, train, and evaluate generative AI models for natural language processing (NLP). The course will help you acquire knowledge of NLP applications including document classification, language modeling, language translation, and fundamentals for building small and large language models. You will learn about converting words to features. You will understand one-hot encoding, bag-of-words, embedding, and embedding bags. You also will learn how Word2Vec e |
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GenAI for Execs & Business Leaders: Formulate Your Use Case (Coursera) https://www.coursera.org/learn/genai-for-execs-business-leaders-formulate-your-use-case As an exec or business leader, integrating genAI effectively into your organization will be a top priority. However, navigating how to strategically use this tool is daunting. This short course guides you through formulating effective genAI use cases for your area of business. Through a series of hands-on activities, you will apply genAI best practices while using IBM’s watsonx AI engine to brainstorm ways to leverage this powerful tool in your organization. You will then construct a potenti |
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GenAI for Execs & Business Leaders: Integration Strategy (Coursera) As an executive or business leader in your organization, integrating AI well is likely number one for your strategic priorities. In this short course, hear what IBM leaders think about the essentials when it comes to strategically integrating GenAI at scale cross-functionally and within their domains. Listen to their advice and gain insights into these key areas for your own business sectors: - Driving ROI and creating value - Leveraging your data to maintain competitive advantages - Devis |
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GenAI for Executives & Business Leaders: An Introduction (Coursera) https://www.coursera.org/learn/generative-ai-for-executives-business-leaders-introduction AI is disrupting every aspect of business and daily life. Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives. IBM AI Academy offers this course as part of its initiative to bring awareness at executive levels on the capabilities of AI. Led by IBM thought leaders, this course provides lessons and learnings that ar |
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Generative AI Advance Fine-Tuning for LLMs (Coursera) https://www.coursera.org/learn/generative-ai-advanced-fine-tuning-for-llms Fine-tuning a large language model (LLM) is crucial for aligning it with specific business needs, enhancing accuracy, and optimizing its performance. In turn, this gives businesses precise, actionable insights that drive efficiency and innovation. This course gives aspiring gen AI engineers valuable fine-tuning skills employers are actively seeking. During this course, you’ll explore different approaches to fine-tuning and causal LLMs with human feedback and direct preference. You’ll look at LL |
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Generative AI and LLMs: Architecture and Data Preparation (Coursera) https://www.coursera.org/learn/generative-ai-llm-architecture-data-preparation This IBM short course, a part of Generative AI Engineering Essentials with LLMs Professional Certificate, will teach you the basics of using generative AI and Large Language Models (LLMs). This course is suitable for existing and aspiring data scientists, machine learning engineers, deep-learning engineers, and AI engineers. You will learn about the types of generative AI and its real-world applications. You will gain the knowledge to differentiate between various generative AI architectures a |
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Generative AI Engineering and Fine-Tuning Transformers (Coursera) https://www.coursera.org/learn/generative-ai-engineering-and-fine-tuning-transformers The demand for technical gen AI skills is exploding. Businesses are hunting hard for AI engineers who can work with large language models (LLMs). This Generative AI Engineering and Fine-Tuning Transformers course builds job-ready skills that will power your AI career forward. During this course, you’ll explore transformers, model frameworks, and platforms such as Hugging Face and PyTorch. You’ll begin with a general framework for optimizing LLMs and quickly move on to fine-tuning generative A |