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: NewSkills you'll gain: Data Mining, Logistic Regression, Model Evaluation
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Store, Data Transformation, Keras (Neural Network Library), Data Modeling, Machine Learning, Statistical Methods
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Management, Data Governance, AI Workflows, Google Cloud Platform, Tensorflow, Data Pipelines, Model Evaluation, Predictive Modeling, Machine Learning, Cloud Deployment, Containerization, Performance Tuning
Skills you'll gain: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Pipelines, Deep Learning, Artificial Neural Networks, Model Evaluation, Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
Status: Free TrialGoogle Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Large Language Modeling, AI Security, Artificial Intelligence, Responsible AI, Model Evaluation, Machine Learning, Data Preprocessing, Data Quality, Innovation
Skills you'll gain: Responsible AI, Data Analysis, Data Visualization Software, Model Evaluation, Artificial Intelligence, Machine Learning, Applied Machine Learning
Skills you'll gain: Responsible AI, Applied Machine Learning, Data Analysis, Artificial Intelligence, Model Evaluation, Machine Learning
Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, Tensorflow, Machine Learning, Jupyter, Data Pipelines, Big Data, Artificial Intelligence, Natural Language Processing
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Governance, Data Management, AI Workflows, Business Workflow Analysis, Data Pipelines, Google Cloud Platform, Model Evaluation, Machine Learning, Containerization
Status: Free TrialSkills you'll gain: Model Deployment, Feature Engineering, PySpark, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, PyTorch (Machine Learning Library), Big Data, Transfer Learning, Text Mining, Model Evaluation, Natural Language Processing, Unstructured Data, Machine Learning, Scalability, Unsupervised Learning, Supervised Learning
Skills you'll gain: Data Ethics, Responsible AI, Data Modeling, Model Evaluation, Artificial Intelligence, Applied Machine Learning, Machine Learning
In summary, here are 10 of our most popular statistical inference courses
- Survey of Data Science: Packt
- Feature Engineering - Italiano: Google Cloud
- Machine Learning in the Enterprise - 한국어: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
- 生成 AI: 基本概念の理解: Google Cloud
- Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia: Google Cloud
- Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
- Machine Learning in the Enterprise - Italiano: Google Cloud
