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.

Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Network Planning And Design
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Edureka
Skills you'll gain: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Statistical Reporting, Software Documentation, Web Applications, Package and Software Management
Mixed · Course · 1 - 3 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Datamaps, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Histogram, Graphic and Visual Design, R Programming, Geospatial Mapping
Intermediate · Course · 1 - 3 Months
University of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computational Thinking, Computer Programming, General Mathematics, Problem Solving
Build toward a degree
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Dashboard, Tableau Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Visualization Software, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Analysis, Data Literacy, Data Cleansing, Data Preprocessing, Data Quality, Data Import/Export
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
Advanced · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: People Analytics, Descriptive Analytics, Financial Statement Analysis, Business Analytics, Data-Driven Decision-Making, Customer Analysis, Human Capital, Human Resource Strategy, Operations Research, Financial Analysis, Marketing Analytics, Analytics, Operational Efficiency, Predictive Analytics, Customer Insights, Financial Data, Operational Analysis, Peer Review, Human Resources, Financial Accounting
Beginner · Specialization · 3 - 6 Months