Data modeling courses can help you learn how to create data structures, define relationships between data elements, and ensure data integrity. You can build skills in normalization, schema design, and data visualization techniques. Many courses introduce tools like SQL for database management, ERD tools for visualizing data relationships, and software like Tableau for data analysis, showing how these skills are applied in practical work.

Skills you'll gain: User Provisioning, User Accounts, Data Import/Export, Salesforce, Data Integrity, Data Migration, Data Management, Role-Based Access Control (RBAC), Identity and Access Management, Data Security, Authorization (Computing), Data Sharing, Data Access, Security Controls, Customer Relationship Management (CRM) Software
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Analytics, Marketing Analytics, Performance Reporting, Looker (Software), Data-Driven Marketing, Web Analytics and SEO, Customer Analysis, Conversion Funnel Analysis, Dashboard Creation, Digital Analysis, Marketing Strategies, Search Engine Optimization, Data Storytelling, Analytics, Predictive Analytics, Analysis, Data Visualization, Target Audience, Process Improvement and Optimization, Process Optimization
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Analytical Skills, Analytics, Data Visualization, Trend Analysis, Data-Driven Decision-Making, Business Analytics, Statistical Analysis, Data Storytelling, Python Programming, Data Wrangling
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Dashboard Creation, Data Manipulation, Data Visualization Software, Data Presentation, Exploratory Data Analysis, Data Management, Google Cloud Platform, Network Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Application Development, UI Components, User Interface (UI)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Preprocessing, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Processing, Data Pipelines, Data Transformation, Amazon Web Services, Data Wrangling, Responsible AI, Data Quality, Data Integrity, Data Validation, Model Training, Personally Identifiable Information
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming
★ 4.8 (10) · Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, R (Software), Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Statistical Analysis, Histogram, Tidyverse (R Package), Public Administration, Statistical Programming, Trend Analysis
★ 4.8 (12) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Structures, C++ (Programming Language), C and C++, Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, AWS Kinesis, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Systems Design, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, Query Languages, IntelliJ IDEA
★ 4.6 (16) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, Java Programming, Java, Theoretical Computer Science, Programming Principles, Algorithms
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling
Mixed · Course · 1 - 3 Months