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.

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, Data Storytelling, Data Presentation, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Data Preprocessing, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Scatter Plots, Histogram, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Image Quality, Python Programming
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Statistical Modeling, Consumer Behaviour, Data Visualization
Beginner · 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

Johns Hopkins University
Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
Beginner · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Regression Analysis, Marketing Analytics, Statistical Software, Data Mining, Data-Driven Decision-Making, Business Intelligence, Statistical Methods, Business Analytics, Correlation Analysis, Target Market, Customer Analysis, SPSS, Data Analysis, Statistical Analysis, Marketing, Market Research, Consumer Behaviour, Microsoft Excel
Beginner · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis
Beginner · Specialization · 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