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: Generative AI, Data Storytelling, Data Visualization Software, Interactive Data Visualization, Data Presentation, LLM Application, Data Wrangling, Data-Driven Decision-Making, Real Time Data, Prompt Engineering
Skills you'll gain: Health Informatics, Clinical Data Management, Microsoft Excel, Patient Safety, Excel Formulas, Data Cleansing, Data Analysis, Medical Records, Data Transformation, Data Wrangling, Data Quality, Data Manipulation, Data Mapping, Data Integrity
Skills you'll gain: Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Data Presentation, SQL, Databases, Dashboard, Data Manipulation, Web Scraping, R Programming
Skills you'll gain: Data Lakes, Data Pipelines, SQL
University of Leeds
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Data Preprocessing, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution
Coursera
Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)
Coursera
Skills you'll gain: Email Marketing, Gap Analysis, Marketing Analytics, Performance Analysis, Microsoft Excel, Marketing Effectiveness, Data-Driven Decision-Making, Performance Measurement, Variance Analysis, Revenue Management, Performance Reporting, Benchmarking, Statistical Reporting
University of California, Irvine
Skills you'll gain: Analytical Skills, Data Ethics, Data Mining, Data Strategy, Data Science, Business Analytics, Data Analysis, Big Data, Analytics, Business Intelligence, Descriptive Analytics, Data Literacy, Predictive Analytics, Data Processing, Small Data
MathWorks
Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms
Skills you'll gain: Dashboard, Exploratory Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Visualization, Data Wrangling, Data Analysis, Data Presentation, Data Cleansing, Interactive Data Visualization, Data Manipulation, Data Collection, Web Scraping, Data Storytelling, Pandas (Python Package), Scatter Plots, Matplotlib
Skills you'll gain: Data Modeling, Power BI, Data Manipulation, Data Literacy, Database Design, Data Transformation, Data Integration, Star Schema, Data Cleansing, Relationship Building
In summary, here are 10 of our most popular data manipulation courses
- Generative AI for Data Visualization and Data Storytelling: Coursera
- Transform, Analyze, & Healthcare Data: Coursera
- Applied Data Science with R: IBM
- Apply Data Lake Transactions & Versioning: Coursera
- Exploratory Data Analysis: University of Leeds
- R: Code, Import, Transform Data: Coursera
- Meta Database Engineer: Meta
- Pivot Campaign Data: Coursera
- Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
- Data Science Companion: MathWorks
