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: Gemini, Data Presentation, Generative AI, Artificial Intelligence, AI Workflows, Research, Responsible AI
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis Expressions (DAX), Azure Synapse Analytics, Microsoft Azure, Real Time Data, Query Languages, Power BI, Data Warehousing, Dataflow, SQL, Apache Spark, Data Pipelines, Data Governance, Business Analytics, Data Management, Data Science, Workflow Management, Security Engineering, Artificial Intelligence and Machine Learning (AI/ML), Warehouse Management, Application Deployment
Intermediate · Course · 1 - 3 Months

IIMA - IIM Ahmedabad
Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, PostgreSQL, Database Development, Performance Tuning, Scalability
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Geographic Information Systems, GIS Software, Geospatial Information and Technology, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Mapping, Data Structures, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Data Visualization, Power BI, Statistical Visualization, Data Storytelling, Data Visualization Software, Dashboard, Ad Hoc Reporting, Business Reporting, Management Reporting, Advanced Analytics, Key Performance Indicators (KPIs), Compliance Reporting, Design Elements And Principles, User Experience, Strategic Decision-Making
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Information and Technology, Data Analysis, Image Analysis, Data Processing, Data Preprocessing, NumPy, Data Validation, Metadata Management, Data Collection, Data Management
Beginner · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis
Beginner · Specialization · 3 - 6 Months

Beginner · Course · 3 - 6 Months

Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Storytelling, Data Modeling, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Asset Management, Data Manipulation, Data Transformation, Microsoft 365, Data Cleansing, Data Import/Export, Data Quality
Beginner · Course · 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

Coursera
Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 Months