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: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics
Status: Free TrialCertNexus
Skills you'll gain: Extract, Transform, Load, Data Migration, Data Manipulation, Data Preprocessing, Data Cleansing, Data Transformation, Data Warehousing, Data Integration, Data Collection, Data Mining, SQL
Status: Free TrialSkills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming
Status: PreviewSkills you'll gain: Operational Databases, NoSQL, Real Time Data, Scalability, Database Design, Application Deployment, Data Infrastructure, Big Data, Data Manipulation, Performance Tuning, Data Modeling, Distributed Computing, Data Storage Technologies
Status: Free TrialSkills you'll gain: R Programming, Alteryx, Statistical Programming, Tableau Software, Data Cleansing, Data Visualization Software, Dashboard, Data Visualization, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Data Processing, Data Manipulation, Data Transformation, Data Import/Export
Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming
Skills you'll gain: Data Analysis, Data Cleansing, Microsoft Excel, Exploratory Data Analysis, Data Manipulation, Data Preprocessing, Data Quality, Excel Formulas
Status: PreviewSkills you'll gain: Data Cleansing, Database Design, Data Integration, SQL, Data Manipulation, Database Management, Relational Databases, Data Validation, Data Quality, Data Integrity, Performance Tuning
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Integration, Python Programming, Data Transformation
Status: PreviewMicrosoft
Skills you'll gain: Data Wrangling, Data Manipulation, Data Transformation, Tidyverse (R Package), Data Cleansing, Data Preprocessing, R Programming, Data Structures
Status: Free TrialSkills you'll gain: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Database Management, Query Languages, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Collection, Data Structures
Searches related to data manipulation
In summary, here are 10 of our most popular data manipulation courses
- R Programming for Statistics and Data Science:Â Packt
- Extract, Transform, and Load Data:Â CertNexus
- Splunk Query Language and Data Analysis:Â EDUCBA
- Mastering Data Analysis with Pandas: Learning Path Part 2:Â Coursera
- Real-Time Big Data Access using HBase: Boosting Performance:Â LearnQuest
- Data Analytics and Visualization with Tableau and more:Â Packt
- Master Data Analysis with Pandas: Learning Path 1 (Enhanced):Â Coursera
- Data Cleaning in Excel: Techniques to Clean Messy Data:Â Coursera
- Cleaning, Organizing, and Speeding Up SQL:Â Coursera
- Mastering Data Analysis with Pandas: Learning Path Part 3:Â Coursera
