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
Skills you'll gain: Data Visualization, Web Scraping, Data Presentation, Data-Driven Decision-Making, SQL, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Database Management, Query Languages, Python Programming, Data Processing, Data Wrangling
Microsoft
Skills you'll gain: Data Wrangling, Data Manipulation, Data Transformation, Tidyverse (R Package), Data Cleansing, Data Preprocessing, R Programming, Data Structures
Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, R Programming, R (Software), Data Processing, Data Preprocessing, Data Analysis, Statistical Programming, Text Mining, Correlation Analysis
Skills you'll gain: SQL, Data Presentation, Business Analysis, Data Analysis, Query Languages, Databases
Skills you'll gain: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing
Skills you'll gain: Dashboard Creation, Data Modeling, Analytical Skills, Data Visualization, Analysis, Data Presentation, Data Integration, Data Wrangling, Data Management, Business Reporting, Business Intelligence Software, Security Awareness
Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Pivot Tables And Charts, Dashboard Creation, Data Transformation, Data Visualization Software, Interactive Data Visualization, Data Modeling, Data Presentation, Microsoft Excel, Performance Reporting, Report Writing, Data Cleansing, Data Sharing
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft 365, Analysis, Trend Analysis, User Accounts
Skills you'll gain: Lean Methodologies, Process Improvement, Quality Improvement, Lean Manufacturing, Lean Six Sigma, Process Improvement and Optimization, Statistical Process Controls, Continuous Improvement Process, Process Optimization, Six Sigma Methodology, Quality Control, Quality Monitoring, Employee Training, Operational Efficiency, Waste Minimization, Data-Driven Decision-Making, Training Programs
Skills you'll gain: Data Manipulation, Data Processing, Data Wrangling, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Cloud-Based Integration, Google Analytics
Skills you'll gain: Data Preprocessing, Performance Tuning
University of Colorado Boulder
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Quality Assurance, Statistical Analysis, Descriptive Statistics, Data Mining
In summary, here are 10 of our most popular data manipulation courses
- Applied Data Analytics with Python and SQL:Â Edureka
- Reshaping Data with tidyr:Â Microsoft
- Wrangling Data in the Tidyverse:Â Johns Hopkins University
- Data Analysis with SQL: Inform a Business Decision:Â Coursera
- Data Processing and Exploration with NumPy & Pandas:Â Packt
- Analyze Business Data Using Advanced Power BI Techniques:Â EDUCBA
- Data Preparation and Visualization with Power BI:Â Packt
- Data calculations in Microsoft Excel:Â Coursera
- Improvement Techniques and Control Tools:Â SkillUp
- Creating a Data Transformation Pipeline with Cloud Dataprep:Â Google Cloud
