IBM Courses

Statistics for Data Science with Python

470 ratings at Coursera

Learn statistical analysis with Python and Jupyter Notebooks: compute descriptive statistics, visualize data, apply probability distributions, run hypothesis tests and regression on a Boston housing dataset.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Generative AI and LLMs: Architecture and Data Preparation

471 ratings at Coursera

Compare generative AI architectures — GANs, VAEs, diffusion models, transformers, GPT and BERT — then tokenize text with NLTK, spaCy and Hugging Face and build PyTorch data loaders.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Supervised Machine Learning: Classification

470 ratings at Coursera

Train classification models — logistic regression, k-nearest neighbors, support vector machines, decision trees and tree ensembles — and handle unbalanced classes with oversampling and undersampling.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

ETL and Data Pipelines with Shell, Airflow and Kafka

465 ratings at Coursera

Compare ETL and ELT approaches, then build batch pipelines with Bash and cron, DAG-based workflows in Apache Airflow, and streaming pipelines with Apache Kafka.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Getting Started on Mainframe with z/OS Commands and Panels

442 ratings at Coursera

Navigate a live z/OS environment through seven hands-on labs: use ISPF/PDF dialogs, issue TSO/E commands, and create and work with data sets.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Present with Purpose: Create/Deliver Effective Presentations

442 ratings at Coursera

Learn to organize presentations, build slide decks that make your message memorable, and deliver them with confidence, poise, and readiness for audience questions.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

The AI Ladder: A Framework for Deploying AI in your Enterprise

440 ratings at Coursera

Learn the AI Ladder framework for enterprise AI adoption: survey current AI technologies, modernize your information architecture, and work through each step of deploying AI business solutions.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

Getting Started with Front-End and Web Development

423 ratings at Coursera

Explore front-end and web development: UI/UX concepts, how browsers and internet protocols work, developer roles and career paths, and building a site with WordPress and no-code tools.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Application Development using Microservices and Serverless

414 ratings at Coursera

Build microservices with Python and Flask REST APIs, document them using Swagger, and deploy container-based serverless applications on IBM Cloud Code Engine.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Scientist Career Guide and Interview Preparation

412 ratings at Coursera

Prepare to land a data scientist role: build a resume, portfolio, cover letter and elevator pitch, assess job leads, and practice interviews and code challenges.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Software Developer Career Guide and Interview Preparation

396 ratings at Coursera

Prepare to land a software engineering job: build a resume and portfolio, craft a cover letter and elevator pitch, research openings, and practice interviews and code challenges.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Software Developer Career Guide and Interview Preparation

396 ratings at Coursera

Prepare to land a software developer job: build a portfolio, resume, cover letter, and elevator pitch, research companies, network, and work through coding challenges and interview rounds.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

IBM AI Enterprise Workflow

392 ratings at Coursera

Build end-to-end enterprise AI solutions: ingest data, test hypotheses, engineer features, detect bias, and deploy machine learning models on IBM Cloud with Watson tooling.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Introduction to NoSQL Databases

382 ratings at Coursera

Learn NoSQL databases hands-on: compare document, key-value, column, and graph types, weigh ACID versus BASE, and run CRUD, indexing, sharding, and replication in MongoDB, Cassandra, and Cloudant.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Data Analysis with R

379 ratings at Coursera

Analyze airline on-time performance data in R: wrangle missing values, explore variable relationships, build regression models, and cross-validate and tune them with tidymodels.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course