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 Cleansing, Data Quality, Data Wrangling, Data Transformation, Data Validation, Data Manipulation, Data Analysis, SQL, Big Data
Status: NewSkills you'll gain: Data Quality, Power BI, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Data Management, Data Transformation, Data Preprocessing, Data Manipulation, Data Wrangling, Data Validation, Data Integration, Data Processing, Data Analysis, Data Visualization Software, Query Languages, Data Visualization
Status: PreviewSkills you'll gain: Data Manipulation, R Programming, R (Software), Tidyverse (R Package), Text Mining, Data Wrangling, Data Transformation, Data Cleansing, Performance Tuning, Data Preprocessing
Skills you'll gain: Data Analysis, Statistical Reporting, Data Cleansing, Data Wrangling, Microsoft Excel, Data Analysis Software, Data Manipulation, Data Preprocessing, Data Quality, Excel Formulas
Status: Free TrialUniversity 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
Status: Free TrialJohns 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: Pandas (Python Package), Data Manipulation, Data Analysis, Python Programming
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Data Quality, Extract, Transform, Load, Anomaly Detection, Data Pipelines, Data Maintenance, Data Validation, Data Integrity, Dependency Analysis, Dataflow, Data Analysis, Continuous Monitoring, Data Transformation, Dashboard, SQL
Status: PreviewMicrosoft
Skills you'll gain: Data Wrangling, Data Manipulation, Data Transformation, Tidyverse (R Package), Data Cleansing, Data Preprocessing, R Programming, Data Structures
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming
Skills you'll gain: Pandas (Python Package), Data Visualization, Plot (Graphics), Data Manipulation, Statistical Visualization, Data Cleansing, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming
Status: Free TrialCoursera
Skills you'll gain: SQL, Data Manipulation, Relational Databases, Database Management, Database Software, Database Design, Databases, Data Integrity, Database Management Systems, Debugging, Data Management
In summary, here are 10 of our most popular data manipulation courses
- Data Cleaning in Snowflake: Techniques to Clean Messy Data:Â Coursera
- Data Cleaning with Power BI:Â Packt
- Manipulate Text Like a Pro with stringr:Â Microsoft
- Data Cleaning in Excel: Techniques to Clean Messy Data:Â Coursera
- Data Wrangling with Python Project:Â University of Colorado Boulder
- Wrangling Data in the Tidyverse:Â Johns Hopkins University
- Master Data Analysis with Pandas: Learning Path 1 (Enhanced):Â Coursera
- Trace and Fix Data Anomalies:Â Coursera
- Reshaping Data with tidyr:Â Microsoft
- Mastering Data Analysis with Pandas: Learning Path Part 4:Â Coursera
