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.

Coursera
Skills you'll gain: Metadata Management, Technical Documentation, Data Validation, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Management, File Management, Data Integrity, Project Planning, Geometric Dimensioning And Tolerancing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Root Cause Analysis, Data Security, Problem Management, Site Reliability Engineering, Capacity Management, Resource Management, Identity and Access Management, Role-Based Access Control (RBAC), Compliance Auditing, Configuration Management
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Excel Formulas, Data Storytelling, Microsoft Excel, Dashboard, Pivot Tables And Charts, Power BI, Data-Driven Decision-Making, Microsoft Copilot, Spreadsheet Software, Data Literacy, Data Presentation, Data Visualization Software, Generative AI, Data Visualization, Data Analysis, Business Intelligence, Data Processing, Data Collection, Interactive Data Visualization, Business Metrics
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Beginner · Course · 1 - 4 Weeks

Beginner · Course · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Data Validation, Metadata Management, Geostatistics, Technical Documentation, Query Languages, SQL, Data Import/Export, Global Positioning Systems, Graphic and Visual Design, Data Quality, PostgreSQL, Data Wrangling, Data Mapping, Python Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Performance Analysis, Performance Metric, Quality Assessment, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Pipelines, MLOps (Machine Learning Operations), 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

Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks