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.
University of Michigan
Skills you'll gain: Sports Medicine, Injury Prevention, Athletic Training, Physiology, Analytics, Physical Stamina, Data Analysis, Advanced Analytics, Medical Equipment and Technology, Vital Signs, Health Technology, Python Programming, Machine Learning, Data Collection
Intermediate · Course · 1 - 3 Months

Fractal Analytics
Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Technical Management, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Model Evaluation, Performance Tuning, Test Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Convolutional Neural Networks, Machine Learning Methods, Applied Machine Learning, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, AI Product Strategy, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Content Creation, Business Transformation, New Business Development, Responsible AI
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures
Beginner · Guided Project · Less Than 2 Hours