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: Customer Analysis, Personalized Campaigns, AI Personalization, Customer Insights, Data-Driven Marketing, Marketing Analytics, Generative AI, Target Audience, Customer Data Management, Marketing, Marketing Strategies, Campaign Management, Marketing Effectiveness, Content Creation, Analysis
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Analytics, Statistical Machine Learning, Google Cloud Platform, Model Evaluation, Predictive Analytics, Applied Machine Learning, Data Analysis, Predictive Modeling
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Science, Probability & Statistics, Statistical Methods, Statistical Inference, Applied Machine Learning, Business Analytics, Model Training, Data Analysis, Statistical Analysis, Statistics, Machine Learning Algorithms, Probability Distribution, Estimation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Kafka, Apache Spark, Scala Programming, Real Time Data, Apache Hadoop, Apache Cassandra, Applied Machine Learning, Big Data, Data Processing, Application Deployment, Distributed Computing, Programming Principles, Cloud Deployment, Data Structures, Development Environment
Advanced · Course · 1 - 3 Months

Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Fine-tuning, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Applied Machine Learning, Deep Learning, Unified Modeling Language, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Decision Tree Learning, Data Cleansing, Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Skills you'll gain: Epidemiology, Health Disparities, Spatial Data Analysis, Data Visualization, Data Presentation, Public Health, Public Health and Disease Prevention, Health Policy, Data Analysis, Biostatistics, Geospatial Information and Technology, Geospatial Mapping, Analytics, Statistical Analysis, Exploratory Data Analysis, Anomaly Detection, Infectious Diseases, Risk Analysis, Statistical Methods, Microsoft Excel
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training, Model Deployment, Computer Vision
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Statistical Methods, Data Analysis, Statistical Analysis, Correlation Analysis, Technical Communication
Beginner · Course · 1 - 4 Weeks

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