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: Apache Spark, Performance Tuning, PySpark, Data Pipelines, Data Processing, Systems Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Database Design, Database Development, SQL, Database Architecture and Administration, Data Modeling, Database Management, Technical Documentation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Data Cleansing, Quality Assurance, Quality Assessment, Packaging and Labeling, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Embeddings, Network Architecture, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months