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.

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Data Integration, Statistical Analysis, Pandas (Python Package), Image Analysis, Advanced Analytics, Analytical Skills, Analysis, Data-Driven Decision-Making, Case Studies, Data Manipulation, AI Enablement, Descriptive Statistics, Statistical Inference, Unsupervised Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Database Administration, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Data Visualization, Relational Databases, Dashboard
Beginner · Professional Certificate · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Engineering, Data Warehousing, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, Generative AI, Data Import/Export, Data Security
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Data Pipelines, PySpark, Scalability, Data-Driven Decision-Making, Fraud detection, Data Processing, Data Persistence, Event Monitoring, Data Transformation, JSON, Event Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Data Quality, Data Collection, Data Management, Data Validation, Data Analysis, Data Preprocessing, Threat Detection, Data Access, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research
Beginner · Course · 1 - 3 Months