Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies.

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Dashboard, Data Presentation, Business Reporting, Interactive Data Visualization, Data Visualization Software, Excel Formulas, Data Import/Export, Data Cleansing, Data Transformation, Data Analysis, Timelines
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Data Cleansing, Supervised Learning, Data Strategy, Logistic Regression, Dataflow, Model Evaluation, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Spreadsheet Software, Business Analysis, Data Manipulation, Excel Formulas, Data Analysis, Text Mining, Statistical Reporting, Data Presentation, Data Processing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Ethics, AI Security, Responsible AI, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Integrity, Data Security, Vulnerability Assessments, Data Governance, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Responsible AI, AI Enablement, Generative AI, Strategic Thinking, Data Ethics, Artificial Intelligence, Workforce Development, Digital Transformation, Employee Engagement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Scenario Testing, Programming Principles
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks