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Explore the Applied Statistics Course Catalog
- Status: NewStatus: Free Trial
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Application Deployment, Cloud Computing, Continuous Deployment, Data Pipelines, Virtual Machines, Applied Machine Learning, Cloud Computing Architecture, Development Environment, Data Store
- Status: NewStatus: Free Trial
Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Data Transformation, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, Data Pipelines, Applied Machine Learning, Scripting, Performance Tuning
- Status: NewStatus: PreviewStatus: AI skills
DeepLearning.AI
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, System Monitoring, Security Controls, Information Architecture, Natural Language Processing, MLOps (Machine Learning Operations), Query Languages, Semantic Web, Sampling (Statistics), Artificial Intelligence, Databases, Algorithms
- Status: NewStatus: Free Trial
Skills you'll gain: AI Personalization, Applied Machine Learning, Predictive Modeling, Python Programming, Machine Learning Algorithms, Predictive Analytics, Data Processing, Development Environment, Data Manipulation, Metadata Management
- Status: NewStatus: Free Trial
Coursera Instructor Network
Skills you'll gain: Data Storytelling, Market Research, Qualitative Research, Competitive Analysis, Data Presentation, Descriptive Statistics, Quantitative Research, Customer Insights, Data Literacy, Market Dynamics, Benchmarking, Storytelling, Data Visualization Software, Correlation Analysis, Data Analysis, Data Collection, Research Design, Data Analysis Software, Microsoft Excel, R Programming
- Status: NewStatus: Free
DeepLearning.AI
Skills you'll gain: Prompt Engineering, Generative AI, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Applied Machine Learning, Natural Language Processing
- Status: NewStatus: Preview
Northeastern University
Skills you'll gain: Time Series Analysis and Forecasting, Text Mining, Data Analysis, Network Analysis, Probability, Data Mining, Unstructured Data, Data Structures, Exploratory Data Analysis, Feature Engineering, Statistics, Data Cleansing, Natural Language Processing
- Status: NewStatus: Free Trial
Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Unsupervised Learning, Dimensionality Reduction, Data Synthesis
- Status: NewStatus: Free
DeepLearning.AI
Skills you'll gain: Information Privacy, Large Language Modeling, Personally Identifiable Information, Deep Learning, Secure Coding, Distributed Computing, Machine Learning Methods, Applied Machine Learning, Machine Learning
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, AI Personalization, Generative AI, Performance Tuning, Artificial Intelligence, Applied Machine Learning, Natural Language Processing, Data Ethics
- Status: NewStatus: Free Trial
Skills you'll gain: Data Processing, Data Cleansing, Feature Engineering, Data Transformation, Pandas (Python Package), Applied Machine Learning, Scikit Learn (Machine Learning Library), Text Mining, Python Programming, NumPy, Machine Learning
- Status: New
Skills you'll gain: Unsupervised Learning, Classification And Regression Tree (CART)
Applied Statistics learners also search
In summary, here are 10 of our most popular applied statistics courses
- DP-100 Microsoft Azure DS Exam: EDUCBA
- Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
- Retrieval Augmented Generation (RAG): DeepLearning.AI
- Develop a Movie Recommendation Engine: EDUCBA
- Market Research Methods and Data Analysis Certificate: Coursera Instructor Network
- Prompt Engineering for Vision Models: DeepLearning.AI
- Foundations for Data Analytics Part 2: Northeastern University
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- Intro to Federated Learning: DeepLearning.AI
- Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson