Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Pivot Tables And Charts, Spreadsheet Software, Microsoft Excel, Data Visualization Software, Google Sheets
Beginner · Guided Project · Less Than 2 Hours
Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity
Intermediate · Professional Certificate · 3 - 6 Months

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Apache Spark, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Data Processing, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Heat Maps, Interactive Data Visualization, Computer Programming, Real Time Data, Visualization (Computer Graphics), Geospatial Information and Technology, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Cloudera
Skills you'll gain: SQL, Apache Hive, Big Data, MySQL, Databases, PostgreSQL, Data Manipulation, Data Analysis, Virtual Machines
Beginner · Course · 1 - 3 Months

Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Data Storage Technologies, Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Virtual Environment
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Analysis Software, Big Data, R Programming, Statistical Programming, Data Manipulation, Data Structures, Software Installation, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Advanced · Course · 1 - 3 Months