Statistical Inference Courses
Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.
Popular Statistical Inference Courses and Certifications
Status: NewStatus: PreviewSkills you'll gain: Data Import/Export, Microsoft Visual Studio, Microsoft Excel, R Programming, Data Processing, Data Cleansing
Status: Free TrialFundação Instituto de Administração
Skills you'll gain: Marketing Analytics, Data Visualization, Sales Strategy, Marketing Strategies, Digital Media Strategy, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Market Analysis, Regression Analysis, Statistical Analysis, Exploratory Data Analysis, Pandas (Python Package), Decision Tree Learning, Decision Making, Logistic Regression, Artificial Neural Networks
Status: Free TrialSkills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
Status: Free TrialSkills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Embeddings, Data Science
Status: Free TrialSkills you'll gain: Portfolio Management, Asset Management, AI Enablement, Investment Management, Generative AI, Prompt Engineering, Artificial Intelligence, ChatGPT, Ethical Standards And Conduct, Risk Management, Risk Analysis, Real Time Data, Correlation Analysis
Status: FreeGoogle Cloud
Skills you'll gain: LLM Application, Google Cloud Platform, Large Language Modeling, Prompt Engineering, SQL, Machine Learning
Status: PreviewUniversity of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
Status: PreviewSkills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning
Status: FreeSkills you'll gain: Kotlin, Software Design Patterns, Debugging
Google Cloud
Skills you'll gain: Cloud API, Google Cloud Platform, Application Programming Interface (API), Natural Language Processing, Machine Learning, Application Development
Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data Manipulation, Anomaly Detection, Exploratory Data Analysis
In summary, here are 10 of our most popular statistical inference courses
- First Steps in R: Importing and Exporting Data: Microsoft
- Engajamento, Conversão e o Consumidor: Fundação Instituto de Administração
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- Deep Learning: Recurrent Neural Networks with Python: Packt
- GenAI for Portfolio Managers: Smarter Asset Allocation: Coursera
- Summarize Text using SQL and LLMs in BigQuery ML: Google Cloud
- 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
- Deep Learning Essentials: University of Pennsylvania
- LLM Engineering with RAG: Optimizing AI Solutions: Coursera
- Mastering Streamlined Syntax: Efficient Kotlin Coding: Coursera
