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.

★ 4.3 (59) · Beginner · Course

Microsoft
Skills you'll gain: Data Cleansing, Data Manipulation, Data Preprocessing, Data Transformation, Data Quality, Tidyverse (R Package), R Programming, Data Import/Export, Generative AI, Data Validation, Data Pipelines, Anomaly Detection
Beginner · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Wrangling, Data Transformation, Data Import/Export, Data Cleansing, Data Integration, Data Processing, Microsoft Excel, Exploratory Data Analysis, Jupyter, Data Analysis, File I/O, Data Science, Python Programming, Data Visualization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Web Scraping, Interactive Data Visualization, Data Cleansing, Programming Principles, Data Structures
★ 4.7 (6) · Beginner · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Microsoft Access, Data Import/Export, Data Entry, Data Maintenance, Data Access, Database Management, Editing, Database Design, Microsoft 365, Hypertext Markup Language (HTML), Data Integrity
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: SQL, Scalability, Data Pipelines, Data Manipulation, Data Integrity, Data Validation, Data Migration, Transaction Processing, Data Transformation, Scripting, Anomaly Detection, Record Keeping, Cryptography, Reconciliation
Advanced · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: SQL, Transaction Processing, Database Application, Database Management, Data Access, Relational Databases, Database Development, Data Manipulation, Databases, Data Transformation, Database Management Systems, Data Security, Identity and Access Management, Data Management, Data Integrity, Performance Tuning
Intermediate · Course · 1 - 3 Months
Macquarie University
Skills you'll gain: Data Storytelling, Power BI, Microsoft Excel, Dashboard Creation, Data Presentation, Dashboard, Excel Formulas, Interactive Data Visualization, Data Visualization, Excel Macros, Pivot Tables And Charts, Data Transformation, Infographics, Data Analysis, Data Cleansing, Data Manipulation, Data Sharing, Business Requirements, Graphing, Data Preprocessing
★ 4.8 (6.1K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Reinforcement Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Logistic Regression, Model Optimization, Data Manipulation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Microsoft Copilot, Data Cleansing, Microsoft Excel, Data Manipulation, Data Quality, Data Analysis, Analysis, Data Transformation, Data Preprocessing, Data Processing, Data Integrity
★ 4.4 (77) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Ethics, Generative AI, Responsible AI, Data Preprocessing, Generative Adversarial Networks (GANs), Data Processing, Feature Engineering, Data Quality, Data Cleansing, Data Wrangling, Data Synthesis, Data Transformation, Pandas (Python Package), Microsoft Copilot, Information Privacy, Anomaly Detection
★ 3.9 (39) · Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Javascript and jQuery, jQuery, Data Validation, Javascript, Application Programming Interface (API)
★ 4.8 (70) · Beginner · Course · 1 - 4 Weeks
Top-rated Data Manipulation courses offered by Microsoft on Coursera.
Top-rated beginner-friendly Data Manipulation courses with no prerequisites.
Data manipulation refers to the process of adjusting, organizing, and analyzing data to make it more useful for decision-making. It is essential because it allows individuals and organizations to derive insights from raw data, enabling informed choices and strategies. In today's data-driven world, effective data manipulation is crucial for businesses to stay competitive, optimize operations, and understand customer behavior.‎
Jobs in data manipulation span various industries and roles. Positions such as data analyst, data scientist, business intelligence analyst, and database administrator often require strong data manipulation skills. These roles involve working with data to extract insights, create reports, and support strategic decision-making. Additionally, roles in marketing, finance, and operations increasingly seek professionals who can manipulate data to drive results.‎
To excel in data manipulation, you should develop a range of skills. Proficiency in programming languages like Python or R is essential, as they are commonly used for data analysis. Familiarity with SQL for database management is also important. Understanding data cleaning techniques, data visualization tools, and statistical analysis will further enhance your capabilities. Additionally, critical thinking and problem-solving skills are vital for interpreting data effectively.‎
There are several excellent online courses for learning data manipulation. For instance, Data Manipulation at Scale: Systems and Algorithms offers insights into handling large datasets. If you're interested in R, consider Data Manipulation and Cleaning in R. For those focusing on SQL, Data Manipulation and Transactions in SQL Server is a great choice.‎
Yes. You can start learning data manipulation on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data manipulation, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn data manipulation, start by identifying the specific tools and languages you want to focus on, such as Python, R, or SQL. Enroll in online courses that match your interests and skill level. Practice regularly by working on real datasets and projects to reinforce your learning. Joining online communities or forums can also provide support and resources as you progress in your data manipulation journey.‎
Typical topics covered in data manipulation courses include data cleaning, transformation, and analysis techniques. You may learn about data types, structures, and how to handle missing or inconsistent data. Courses often explore the use of libraries and tools for data manipulation, such as Pandas in Python or dplyr in R. Additionally, data visualization and reporting techniques are frequently included to help you present your findings effectively.‎
For training and upskilling employees in data manipulation, courses like Data Processing and Manipulation can be beneficial. These courses are designed to enhance practical skills and can be tailored to meet the needs of various industries. Investing in such training can empower your workforce to leverage data effectively, driving better business outcomes.‎