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
Coursera
Skills you'll gain: SQL, Data Manipulation, Relational Databases, Database Management, Database Software, Database Design, Databases, Data Integrity, Database Management Systems, Debugging, Data Management
Skills you'll gain: SAS (Software), SQL, Data Manipulation, Data Analysis Software, Query Languages, Data Wrangling, Data Processing, Data Transformation, Data Management
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: Power BI, Data Transformation, Data Preprocessing, Data Manipulation, Data Cleansing, Data Integration, Data Wrangling, Predictive Modeling
Skills you'll gain: Data Quality, Quantitative Research, Data Management, Quality Assurance, Data Cleansing, Quality Improvement, Continuous Quality Improvement (CQI), Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Continuous Monitoring, Automation, Trend Analysis
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Integration, Data Wrangling, Python Programming, Data Transformation
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
Skills you'll gain: Data Transformation, Database Management, Azure Synapse Analytics, Database Design, Data Wrangling, Data Architecture, Database Theory, Apache Cassandra, Apache Hive, Amazon Redshift
Skills 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: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming
Skills you'll gain: Data Cleansing, Data Quality, Clinical Data Management, Health Information Management, Health Informatics, Patient Safety, Data Wrangling, Data Transformation, Data Preprocessing, Data Validation, Exploratory Data Analysis, Descriptive Statistics, Statistical Analysis, Text Mining, Statistical Methods, Data Visualization, Microsoft Excel, Anomaly Detection
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
In summary, here are 10 of our most popular data manipulation courses
- Manipulating Data with SQL:Â Coursera
- Analyze and Manipulate Data Using SAS PROC SQL:Â EDUCBA
- Data Preparation and Visualization with Power BI:Â Packt
- PowerBI for Beginners: Data transformation:Â Coursera
- Improve Data Quality and Automate Errors:Â Coursera
- Mastering Data Analysis with Pandas: Learning Path Part 3:Â Coursera
- Applied Data Analytics with Python and SQL:Â Edureka
- Transform, Analyze, and Optimize Your Data:Â Coursera
- Manipulate Text Like a Pro with stringr:Â Microsoft
- Mastering Data Analysis with Pandas: Learning Path Part 4:Â Coursera
