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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


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Manipulation and Cleaning in R

    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

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Database Theory, Data Manipulation, Data Store, Data Processing, Database Management Systems, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    773 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamental Tools of Data Wrangling

    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Cleaning, Transformation, and Manipulation

    Skills you'll gain: Data Preprocessing, Pandas (Python Package), Data Wrangling, Feature Engineering, Data Cleansing, Data Manipulation, Data Transformation, Data Analysis, Data Integration, Data Quality, Dimensionality Reduction, Applied Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    J

    John Wiley & Sons

    Intermediate SQL: Querying, Data Manipulation, and Security

    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

What brings you to Coursera today?

  • Status: New
    New
    P

    Packt

    Data Analysis with Polars and Python

    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

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  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of R Programming and Basic Data Manipulation

    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
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Manipulation and Transactions in SQL Server

    Skills you'll gain: Transact-SQL, Microsoft SQL Servers, Transaction Processing, Database Management, Relational Databases, SQL, Databases, Database Architecture and Administration, Database Theory, Operational Databases, Database Development, Data Integrity, Data Access, Generative AI, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    UiPath

    Data Manipulation in RPA

    Skills you'll gain: Data Manipulation, Robotic Process Automation, Automation, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    77 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Advanced Data Structures and Handling with Polars

    Skills you'll gain: Data Manipulation, Data Wrangling, Data Transformation, Time Series Analysis and Forecasting, Data Processing, Pivot Tables And Charts, Text Mining, Data Integration, Data Structures, Analysis, Data Cleansing, Data Preprocessing, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Introduction to Data Analysis with Python and Polars

    Skills you'll gain: Data Cleansing, Data Integration, Data Quality, Data Analysis Software, Data Manipulation, Data Wrangling, Data Transformation, Data Validation, Jupyter, Data Analysis, Programming Principles, Data Processing, Data Import/Export, Exploratory Data Analysis, Analytics, Development Environment, Python Programming, Command-Line Interface, Code Reusability

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

1234…834

In summary, here are 10 of our most popular data manipulation courses

  • Data Manipulation and Cleaning in R: Microsoft
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington
  • Mastering Data Analysis with Pandas: Coursera
  • Fundamental Tools of Data Wrangling: University of Colorado Boulder
  • Data Cleaning, Transformation, and Manipulation: Coursera
  • Intermediate SQL: Querying, Data Manipulation, and Security: John Wiley & Sons
  • Data Analysis with Polars and Python: Packt
  • Foundations of R Programming and Basic Data Manipulation: Packt
  • Data Manipulation and Transactions in SQL Server: Microsoft
  • Data Manipulation in RPA: UiPath

Frequently Asked Questions about Data Manipulation

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:

  1. Preview the first module of many data manipulation courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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