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
Logical Operations
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Excel Formulas, Data Transformation, Data Presentation, Microsoft Excel, Data Visualization, Sampling (Statistics), Dashboard, Data Visualization Software, Spreadsheet Software, Report Writing, Pivot Tables And Charts, Data Analysis, Statistical Analysis, Data Cleansing, Microsoft Office, Geospatial Mapping, Microsoft 365, Productivity Software
Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Problem Management, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform
Skills you'll gain: Data Pipelines, Apache Kafka, Apache Airflow, Extract, Transform, Load, Data Processing, Data Warehousing, Data Integration, Data Migration, Data Quality, Data Storage Technologies, Web Scraping, Data Transformation, Real Time Data, Data Mart, Performance Tuning, Scalability
Skills you'll gain: Extract, Transform, Load, SQL, Data Transformation, Data Pipelines, Stored Procedure, Database Development, Query Languages, Data Manipulation, Performance Tuning, Scripting, Database Management
Skills you'll gain: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Google Cloud
Skills you'll gain: Google Sheets, Data Literacy, Data Visualization Software, Spreadsheet Software, Big Data, Data Storytelling, Data Analysis, Data Presentation, Google Cloud Platform, Data Integration, Data Manipulation
Skills you'll gain: User Research, User Experience, UI/UX Research, User Interface and User Experience (UI/UX) Design, User Experience Design, Experience Design, Persona (User Experience), User Centered Design, Design Research, User Interface (UI), Design, Prototyping, Artificial Intelligence, User Interface (UI) Design, Design Thinking, Prompt Patterns, Wireframing, Responsible AI, Presentations, Professional Development
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning
Skills you'll gain: Data Management, Cloud Storage, Cloud Computing Architecture, Serverless Computing
Skills you'll gain: Oracle Databases, Oracle SQL Developer, Performance Tuning, Database Management, Database Architecture and Administration, Database Administration, PL/SQL, Relational Databases, Patch Management, Data Integrity, SQL, Data Import/Export, Data Storage Technologies, User Accounts, Disaster Recovery
Searches related to data manipulation
In summary, here are 10 of our most popular data manipulation courses
- Data Analysis and Visualization with Microsoft Excel: Logical Operations
- Troubleshooting Data Models in Looker: Google Cloud
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Optimize SQL: Build Fast Data Pipelines: Coursera
- Explore and Visualize Data the Python Way: Coursera
- Programming for Python Data Science: Principles to Practice: Duke University
- Analyzing and Visualizing Data the Google Way: Google Cloud
- AI Tools, Data, and Experience Design: AI CERTs
- Data Science Fundamentals Part 2: Unit 1: Pearson
- 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
