Data Manipulation Courses
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.
Popular Data Manipulation Courses and Certifications
Amazon Web Services
Skills you'll gain: Extract, Transform, Load, Data-Driven Decision-Making, Amazon Web Services, Data Warehousing, Big Data, Databases, Business Analytics, NoSQL, Data Analysis, Data Pipelines, Unstructured Data, Data Processing, SQL, Data Storage, Data Architecture, Relational Databases, Data Transformation
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming
Skills you'll gain: Data Pipelines, Data Storage, Data Processing, Google Cloud Platform, Cloud Storage, Data Analysis, Cloud Engineering, Data Infrastructure, Data Architecture, Data Management, Data Preprocessing, Automation
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures
Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)
Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Data Visualization, Interactive Data Visualization, Plotly, Responsible AI, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity
Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Processing, Data Warehousing, Cloud Development, Amazon S3, Automation, Data Management, Data Transformation, Serverless Computing, AWS Identity and Access Management (IAM), Process Optimization, System Monitoring
Skills you'll gain: Ansible, Containerization, CI/CD, Docker (Software), Version Control, DevOps, Application Deployment, Data Pipelines, Development Environment, Continuous Integration, Continuous Deployment, Infrastructure as Code (IaC), Git (Version Control System), Data Infrastructure, Configuration Management, Performance Tuning, Root Cause Analysis
Universidad Nacional Autónoma de México
Skills you'll gain: Digital Signal Processing, Musical Composition, Music, Music Theory, Performance Tuning, Data Import/Export, Programming Principles, Interoperability, Development Environment, File I/O
Johns Hopkins University
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Graphical Tools, Mathematical Software, Applied Mathematics, Geometry
Skills you'll gain: Power BI, Data Modeling, Data Storytelling, Data Analysis Expressions (DAX), Data Visualization Software, Data Transformation, Business Intelligence, Dashboard, Microsoft Excel, Interactive Data Visualization, Data Manipulation, Data Cleansing, Key Performance Indicators (KPIs), Report Writing, Data Import/Export
Skills you'll gain: Cloud Storage, Data Storage, Microsoft Azure, Data Storage Technologies, Cloud Applications, Data Architecture, Cloud Security, Data Management, Data Security, Application Development, Role-Based Access Control (RBAC), Analytics
In summary, here are 10 of our most popular data manipulation courses
- Data Analytics and Databases on AWS: Amazon Web Services
- Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera
- Preparing for your Professional Data Engineer Journey: Google Cloud
- Introduction to Data Science and scikit-learn in Python: LearnQuest
- C++: Non-Linear Data Structures: Codio
- Creating Impactful Data Visualizations with Generative AI: Coursera
- AWS Data Automation: Glue & Lambda Integration: Coursera
- DevOps and CI/CD for Data Engineering Performance: Coursera
- Audio digital con Pure Data: Universidad Nacional Autónoma de México
- Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
