Data quality courses can help you learn data validation techniques, data cleansing methods, and the importance of accuracy in data management. You can build skills in identifying data anomalies, implementing quality control processes, and ensuring compliance with data standards. Many courses introduce tools like SQL for data manipulation, Python for automation, and data visualization software to analyze and present clean data effectively.

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Enablement, Business Process Automation, Digital Transformation, Employee Engagement, Recruitment
Intermediate · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, Microsoft Copilot, ChatGPT, Ideation, Verification And Validation, Succession Planning, Microsoft 365, Target Audience, Business Writing, Responsible AI, Generative AI, Microsoft Teams, Leadership, Meeting Facilitation, Organizational Leadership, Productivity Software, Creativity, AI Enablement, Complex Problem Solving, Strategic Communication
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Data Visualization, Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Data Literacy, Correlation Analysis, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation
Beginner · Specialization · 1 - 3 Months
Coursera
Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Responsible AI, AWS SageMaker, Machine Learning, Applied Machine Learning, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, Ethical Standards And Conduct, Unsupervised Learning, Reinforcement Learning
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Configuration Management, Image Analysis, Multimodal Prompts, Debugging, Experimentation, Computer Vision, Algorithms, Data Visualization, Deep Learning, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Machine Learning, Performance Analysis, Keras (Neural Network Library), Benchmarking, Cost Management
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Visualization (Computer Graphics), Unit Testing, Data Cleansing, Interactive Data Visualization, Object Oriented Programming (OOP), Debugging
Beginner · Specialization · 3 - 6 Months