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.

University of Washington
Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Vector Databases, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration, OpenAI
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

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: Marketing Analytics, Customer Analysis, Marketing Effectiveness, Customer Retention, Advanced Analytics, Market Analysis, Sales Management, Customer Insights, Loyalty Programs, Data-Driven Decision-Making, Customer Service, Predictive Analytics, Business Metrics, Case Studies, R Programming, Performance Metric
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Predictive Modeling, Feature Engineering, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Data Analysis, Analytics, HR Tech, Trend Analysis, Correlation Analysis, Data-Driven Decision-Making, R Programming, Data Preprocessing, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Analytics, Big Data, Scalability, Responsible AI, Complex Problem Solving
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Performance Analysis, Brand Awareness, AI Enablement, Storytelling, Content Development and Management, Multimedia, Prompt Engineering, Data Storytelling, Creativity, Search Engine Optimization, Emerging Technologies, Visionary, Professional Networking
Beginner · Course · 1 - 3 Months

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: Dashboard, Web Analytics, Process Analysis, Heat Maps, Marketing Analytics, Business Analytics, Customer Analysis, Data Visualization, Customer Insights, Requirements Analysis, Analytics, Process Optimization, Interactive Data Visualization, Process Design, Business Requirements, Predictive Analytics, Customer Retention, Performance Metric, Key Performance Indicators (KPIs), Statistical Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Predictive Analytics, Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Data Quality, Performance Measurement, Applied Machine Learning, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months