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: Computer Vision, Model Deployment, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Google Gemini, AI Workflows, AI Enablement, Generative AI, Artificial Intelligence, Google Workspace, AI Personalization
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, Generative AI, Embeddings, Context Management, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Technical Communication, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Image Analysis, LLM Application, Applied Machine Learning, Data Flow Diagrams (DFDs), Embeddings, Docker (Software), Prompt Engineering, Generative AI, Context Management, Large Language Modeling, Simulations, Data-oriented programming, Artificial Neural Networks, Data Ethics, Data Import/Export, Data Pipelines, Python Programming, Plot (Graphics)
Intermediate · Specialization · 3 - 6 Months

Coursera
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks