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.

Coursera
Skills you'll gain: Geographic Information Systems, GIS Software, Geospatial Information and Technology, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Mapping, Data Structures, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Trend Analysis, Analysis, Project Risk Management, Project Controls, Project Performance, Risk Management, Dashboard, Key Performance Indicators (KPIs), Project Management, Continuous Monitoring, Cost Management, Timelines, Scope Management, Performance Measurement, Real Time Data, Budget Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Redis, NoSQL, Real Time Data, Data Structures, Event-Driven Programming, Scalability, Big Data, Query Languages, Data Modeling
Beginner · Course · 1 - 4 Weeks
University of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Molecular Biology, Biostatistics, Biotechnology, Analysis, Informatics, Data Visualization Software, Data Analysis, Data Synthesis, Life Sciences, Data Mining, Statistical Methods, Cell Biology, Exploratory Data Analysis, Technical Communication, Data Processing, Structural Analysis, Databases, Data Collection
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Performance Reporting, Content Performance Analysis, Web Analytics, Google Analytics, Driving engagement, Performance Analysis, Marketing Analytics, Content Strategy, Data Analysis, Data-Driven Decision-Making, Target Audience, Analytics, Customer Insights, Trend Analysis, Marketing Strategies, Process Optimization, Multimedia
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics
Beginner · Specialization · 3 - 6 Months

Knowledge Accelerators
Skills you'll gain: Power BI, Business Intelligence, Data Visualization, Business Reporting, Business Analytics, Data Analysis, Data Synthesis, Excel Formulas, Data Manipulation, Collaborative Software, Trend Analysis, Data Management, Data Quality
Beginner · Course · 1 - 3 Months