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.

Queen Mary University of London
Skills you'll gain: Qualitative Research, Proposal Development, Market Research, Research Reports, Data Collection, Research Design, Research Methodologies, Analytics, Data Analysis, Statistical Hypothesis Testing, Survey Creation, Statistical Analysis, Surveys, Correlation Analysis, Business Research, Quantitative Research, Research, Science and Research, Market Analysis, Focus Group
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Financial Statements, Financial Statement Analysis, Market Liquidity, Case Studies, Financial Analysis, Cash Flows, Working Capital, Balance Sheet, Data Storytelling, Benchmarking, Financial Modeling, Verbal Communication Skills, Financial Data, Income Statement, Communication, Data Analysis, Performance Analysis, Trend Analysis
Intermediate · Course · 1 - 4 Weeks

Red Hat
Skills you'll gain: Object Oriented Programming (OOP), JSON, Python Programming, Debugging, Data Structures, Red Hat Enterprise Linux, Computer Programming, Statistical Programming, Web Development, Scripting, Scripting Languages, Development Environment, Text Mining, Software Installation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Stored Procedure, Microsoft SQL Servers, Transact-SQL, SQL, Database Development, Procedure Development, Database Management Systems, Query Languages
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Jira (Software), Sprint Planning, Work Breakdown Structure, Dashboard, Quality Assurance, Sprint Retrospectives, User Story, Verification And Validation, Issue Tracking, Software Testing, Test Planning, Data Visualization, Workflow Management, Project Management, Capacity Planning, Data-Driven Decision-Making, Kanban Principles, Continuous Improvement Process, Agile Methodology, Root Cause Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Automation, Data Management
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Debugging, Program Development, Software Documentation, Pseudocode, C++ (Programming Language), Computational Thinking, Maintainability, Programming Principles, Computer Programming, Integrated Development Environments, Development Environment, Algorithms, Data Validation
Beginner · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Workflow Management, Data Management, Model Deployment, Google Cloud Platform, AI Workflows, Enterprise Modeling, Data Pipelines, Model Evaluation, Machine Learning, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks