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: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Analysis Software, Data Visualization Software, Big Data, Databases, Tensorflow
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months

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

Northeastern University
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Matplotlib, Data Preprocessing, Pandas (Python Package), Scatter Plots, Data Cleansing, Data Integration, Data Transformation, Big Data, Programming Principles, Python Programming
Build toward a degree
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
Intermediate · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Data Ethics, Predictive Modeling, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Decision Tree Learning, Data Preprocessing, Analytical Skills, Python Programming, Unsupervised Learning, Performance Metric
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Scenario Testing, Energy and Utilities, Mathematical Modeling, Predictive Analytics, Experimentation, Laboratory Experience, Google Gemini, Predictive Modeling, Data-Driven Decision-Making, Forecasting, Data Modeling, Analytics, 3D Modeling, Simulation and Simulation Software, Simulations, Waste Minimization, Sustainable Technologies, Data Visualization, Artificial Intelligence, Search Engine Optimization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics), Javascript, Data Analysis, Microsoft Visual Studio
Intermediate · Guided Project · Less Than 2 Hours

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

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing
Intermediate · Course · 1 - 3 Months