Data security courses can help you learn encryption techniques, risk assessment strategies, incident response planning, and compliance regulations. You can build skills in vulnerability management, threat detection, and secure coding practices. Many courses introduce tools like firewalls, intrusion detection systems, and data loss prevention software, demonstrating how these skills are applied to protect sensitive information and maintain system integrity.
SAS
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Statistical Analysis, Statistical Programming, Data Processing, Data Preprocessing, Data Integration, Data Cleansing, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Apache Spark, PySpark, Performance Tuning, Data Pipelines, Data Processing, Systems Analysis
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Dashboard, Data Pipelines, Web Analytics, Strategic Prioritization, Customer Retention, Process Analysis, Customer Analysis, Product Strategy, SQL, Data Analysis, Business Intelligence, Data Warehousing, Pandas (Python Package), Performance Metric, Statistical Analysis, Scikit Learn (Machine Learning Library), Decision Making, Resource Allocation, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Shiny (R Package), Application Deployment, Server Side, Application Lifecycle Management, Authentications, User Interface (UI) Design, Interactive Design, Business Logic, Application Design, Application Development, Dashboard, Security Controls, Web Applications, R (Software)
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Validation, Geospatial Information and Technology, Geostatistics, Data Wrangling, Geometric Dimensioning And Tolerancing
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months