Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.

Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Data Processing, Management Reporting, Business Analytics, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation, Automation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Platforms, Data Processing, Scalability, Analytics
Intermediate · Course · 1 - 3 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

Coursera
Skills you'll gain: SQL, Data Manipulation, Relational Databases, Database Design, Databases, Data Integrity, Database Management Systems, Debugging, Data Management
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Import/Export, Scripting, Data Manipulation, File Management, Data Validation, Software Installation
Beginner · Course · 3 - 6 Months

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Governance, Personally Identifiable Information, Information Privacy, Data Security, General Data Protection Regulation (GDPR), Data Ethics, Data Management, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Security Strategy, Compliance Management, Regulatory Compliance, Data Integrity, Risk Mitigation, Risk Analysis, Cross-Functional Collaboration, Encryption, Accountability
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Generative Adversarial Networks (GANs), Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Preprocessing, Data Synthesis, Data Validation, Responsible AI, Natural Language Processing
Beginner · Course · 1 - 4 Weeks