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.

Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Preprocessing, Tidyverse (R Package), Data Management
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, AI Enablement, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Cleansing, Data Preprocessing, Data Visualization Software, Descriptive Statistics, Data Validation
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Dataflow, Google Cloud Platform, Real Time Data, Data Pipelines, Data Warehousing, Extract, Transform, Load, Data Preprocessing, Data Transformation, Apache Airflow, Big Data, Tensorflow, Feature Engineering, Workflow Management, Dashboard, Apache Spark, Data Processing, Data Lakes, PySpark, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Data Quality, Data Cleansing, Computer Vision, Visualization (Computer Graphics), Data Preprocessing, Deep Learning, Image Analysis, Convolutional Neural Networks, Model Evaluation, Data Manipulation, Applied Machine Learning, Data Analysis
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Extract, Transform, Load, Data Integration, SQL Server Integration Services (SSIS), Data Cleansing, Data Pipelines, Data Quality, Data Migration, Database Management, Data Transformation, File Management, Data Manipulation, Data Processing, Metadata Management, JSON, Extensible Markup Language (XML), Debugging
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry
Beginner · Specialization · 3 - 6 Months

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
Intermediate · Specialization · 1 - 3 Months

Queen Mary University of London
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Digital Marketing, Exploratory Data Analysis, Logistic Regression, Market Research, Data Preprocessing, Return On Investment
Beginner · Course · 1 - 4 Weeks