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.

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

Coursera
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Python Programming
★ 4.6 (182) · Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Presentation, Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Data Processing, Programming Principles, Python Programming, Numerical Analysis, Package and Software Management
★ 4.3 (22) · Beginner · Course · 1 - 3 Months

Chegg Skills
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Engineering, Data Quality, Descriptive Statistics, Data Manipulation, Data Wrangling, Statistical Analysis, Data Transformation, Package and Software Management, Data Import/Export, Statistics, Data Preprocessing, Data Processing, Data Analysis, Data Validation, Exploratory Data Analysis, Data Pipelines, NumPy, Python Programming
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Presentation, Data Processing, Data Cleansing, Data Preprocessing, Statistical Analysis, Seaborn, NumPy, Python Programming
★ 4.5 (43) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Transact-SQL, Microsoft SQL Servers, Transaction Processing, Database Management, Relational Databases, SQL, Database Architecture and Administration, Operational Databases, Database Development, Data Integrity, Database Software, Data Manipulation, Data Access, Generative AI, Performance Tuning
★ 4.3 (56) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Manipulation, Data Wrangling, Data Integration, Data Transformation, Data Quality, Time Series Analysis and Forecasting, Data Processing, Pivot Tables And Charts, Data Analysis Software, Text Mining, Data Validation, Jupyter, Data Analysis, Data Structures, Performance Tuning, Analysis, Programming Principles, Data Preprocessing, Descriptive Analytics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Plot (Graphics), Data Manipulation, Plotly, Data Visualization, Web Scraping, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Data Wrangling, Data Processing, Data Cleansing, Data Transformation, Statistical Programming, Programming Principles, Data Structures
★ 4.7 (6) · Beginner · 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, Data Visualization Software, Pivot Tables And Charts, Data Transformation, Statistical Visualization, Spreadsheet Software, Infographics, Data Analysis, Data Wrangling, Tree Maps, Data Cleansing
★ 4.8 (6.1K) · Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Political Sciences, Policy Analysis, Social Studies, Social Justice, Public Affairs, Mathematics and Mathematical Modeling, Social Sciences, Public Policies, Game Theory, Demography, Mathematical Modeling, Governance, Decision Intelligence, Combinatorics, General Mathematics, Diversity Awareness, Applied Mathematics
★ 4.7 (28) · Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: SQL, Data Warehousing, Ad Hoc Analysis, Business Intelligence, Databases, Data Maintenance, Database Management, Data Analysis, Relational Databases, Ad Hoc Reporting, Business Analytics, Star Schema, Query Languages, Operational Databases, Data Quality, Data Access, Data Manipulation, Business Logic, Business Metrics
Beginner · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: SQL, Database Architecture and Administration, Transaction Processing, Database Application, Database Management, Data Access, Relational Databases, Database Development, Data Manipulation, Database Administration, Database Theory, Databases, Data Transformation, Database Software, Data Wrangling, Database Management Systems, Data Security, Identity and Access Management, Data Management, Data Integrity
Intermediate · Course · 1 - 3 Months
Top-rated Data Manipulation courses offered by Microsoft on Coursera.
Earn a certificate in Data Manipulation from top universities and companies.
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.‎