Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Vector Databases, AI Personalization, Embeddings, Hugging Face, MongoDB, NoSQL, PostgreSQL, Relational Databases, Generative AI, SQL, Databases, LLM Application, Applied Machine Learning, Database Design, Database Management, Apache Cassandra, Text Mining, Artificial Intelligence, Machine Learning, Data Science
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
DeepLearning.AI
Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Unstructured Data, Artificial Intelligence, Computer Vision, Spatial Data Analysis, Geospatial Information and Technology, Convolutional Neural Networks, Model Evaluation
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Logistic Regression, Supervised Learning, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Data Validation, Model Evaluation, Algorithms, Regression Analysis, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Logistic Regression, Regression Analysis, Predictive Modeling, Predictive Analytics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis, Model Evaluation
Mixed · Course · 1 - 3 Months