Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Autoencoders, Applied Machine Learning, Natural Language Processing, Embeddings
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Deepseek, Model Deployment, AI Enablement, Responsible AI, LLM Application, Generative Model Architectures, Competitive Analysis, AI Workflows, Strategic Planning, AI Personalization, Application Deployment, Data Ethics, Model Evaluation, Case Studies, Prompt Engineering, Cost Benefit Analysis, Automation, Integration Testing, Process Optimization, Program Evaluation
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Reinforcement Learning, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Applied Machine Learning, Model Deployment, Google Cloud Platform
Beginner · Course · 1 - 4 Weeks