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.

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
Mixed · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Scikit Learn (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Equities, Finance, Financial Analysis, Financial Acumen, Financial Modeling, International Finance
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, Dataflow, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Machine Learning Methods, Machine Learning
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Model Deployment, Model Evaluation, Cloud Computing, Machine Learning
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Interactive Data Visualization, Data Presentation, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Development Environment, Animations
Mixed · Course · 1 - 4 Weeks

University 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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Transfer Learning, Image Analysis, Keras (Neural Network Library), Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning
Beginner · Project · Less Than 2 Hours