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.

American Psychological Association
Skills you'll gain: Box Plots, Descriptive Statistics, Histogram, Probability & Statistics, Exploratory Data Analysis, Graphing, Variance Analysis, Statistical Visualization, Statistical Analysis, Data Analysis, Analytical Skills
Beginner · Course · 1 - 3 Months

Edureka
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Correlation Analysis, Statistical Visualization, Descriptive Statistics, Statistical Analysis, Data Analysis, Box Plots, R (Software), Systems Of Measurement, Data Quality, Run Chart, Scatter Plots, Regression Analysis, Statistical Methods, Verification And Validation, Statistical Hypothesis Testing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming, Dimensionality Reduction
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Interactive Data Visualization, Key Performance Indicators (KPIs), Tableau Software, Data Visualization Software, Data-Driven Decision-Making, Business Metrics, Data Quality
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Environmental Monitoring, Image Analysis, Jupyter, Model Evaluation, Remote Access Systems, Software Installation
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Analysis, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Embeddings, Data Preprocessing, AI Personalization, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Open Source Technology, Data Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems
Beginner · Course · 1 - 3 Months