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: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Gross Profit, Case Studies, Performance Analysis, Data Cleansing, Business Reporting, Business Analysis, Fiscal Management, Time Series Analysis and Forecasting
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Geospatial Information and Technology, Geostatistics, Data Validation, Data Transformation, Geometric Dimensioning And Tolerancing
Beginner · Course · 1 - 4 Weeks

Coursera
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: SQL Server Reporting Services, Microsoft SQL Servers, Business Reporting, Business Intelligence, SQL, Interactive Data Visualization, Data Visualization, Microsoft Development Tools, Microsoft Visual Studio
Mixed · Course · 1 - 3 Months
Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Advanced · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Feature Engineering, Data Analysis, Return On Investment, Performance Measurement, Business Metrics
Intermediate · Course · 1 - 4 Weeks

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: AI Enablement, Strategic Thinking, Technology Roadmaps, AI Workflows, Generative AI, Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Database Management Systems, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Information Architecture, Anomaly Detection, Unstructured Data
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months