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 Minnesota
Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
Beginner · Guided Project · Less Than 2 Hours

University of Pennsylvania
Skills you'll gain: People Analytics, HR Tech, Responsible AI, Human Resources, Data-Driven Decision-Making, People Management, Artificial Intelligence, Employee Engagement, Machine Learning, Employee Retention, Predictive Analytics, Blockchain
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months

Fractal Analytics
Skills you'll gain: Responsible AI, A/B Testing, Design Thinking, Ideation, Generative AI, UI/UX Research, Data Ethics, Experience Design, Innovation, User Research, Data Storytelling, Dashboard, User Feedback, Data Analysis, AI Enablement, Artificial Intelligence, Prompt Engineering, Critical Thinking, Business Consulting, Problem Solving
Beginner · Specialization · 1 - 3 Months