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.

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Intermediate · Course · 1 - 3 Months

Packt
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
Intermediate · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming
Mixed · Course · 1 - 3 Months

LearnKartS
Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, Predictive Modeling, Real Time Data, Financial Statement Analysis, Continuous Monitoring, Applied Machine Learning, MLOps (Machine Learning Operations), Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks