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Data Manipulation Courses Online

Master data manipulation techniques for transforming data. Learn to clean, merge, and reshape datasets using tools like SQL and Python.

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Explore the Data Manipulation Course Catalog

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Data Cleansing, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    315 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Manipulation and Cleaning in R

    Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Data Integrity

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of California San Diego

    Linux Tools for Text Processing

    Skills you'll gain: Linux Commands, Linux, Unix Commands, Shell Script, Linux Administration, Data Processing, Text Mining, Command-Line Interface, Data Manipulation, Unix, Scripting, Automation, File Management

    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, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    768 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Integration, Data Storage, & Data Migration

    Skills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Extract, Transform, Load, Data Security, Data Pipelines, Disaster Recovery

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Analysis with Pandas and Python

    Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Data Techniques for Enterprise AI Systems

    Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Data Visualization, Interactive Data Visualization, Microsoft Excel, Dashboard, Data Modeling, Data Cleansing, Data Transformation, Data Manipulation, Excel Macros, Infographics, Spreadsheet Software, Data Analysis Software, Data Validation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Statistical Analysis, Trend Analysis, Data Cleansing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Python Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting, Scripting Languages

    4.3
    Rating, 4.3 out of 5 stars
    ·
    232 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    UiPath

    Data Manipulation in RPA

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    73 reviews

    Beginner · Course · 1 - 3 Months

Data Manipulation learners also search

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

  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
  • Data Manipulation and Cleaning in R: Microsoft
  • Linux Tools for Text Processing: University of California San Diego
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington
  • Excel Basics for Data Analysis: IBM
  • Data Integration, Data Storage, & Data Migration: SkillUp
  • Data Analysis with Pandas and Python: Packt
  • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
  • Excel Skills for Data Analytics and Visualization: Macquarie University
  • Applying Python for Data Analysis: Coursera Instructor Network

Frequently Asked Questions about Data Manipulation

Data manipulation is the part of data science that organizes or changes data into formatting that's easier to read and use for analytical purposes. It may involve advanced techniques and tools, such as relational algebra or SQL to manage the data. It may also require less advanced skills, such as alphabetization or spreadsheets to compile the data for the end user. This type of data analysis makes it possible for a data scientist to pull pertinent information for decision-making purposes out of a large, otherwise disorganized mass of data.‎

If you have a passion for using computers and solving complex problems and puzzles, learning data manipulation may lead to a variety of opportunities as a data scientist. These opportunities include becoming a data analyst, a data engineer, or a machine learning engineer. Tasks you might encounter during a typical workday in these fields include cluster analysis and creating a pivot table or a lookup table. If you want a very hands-on career that puts you in control of finding the most essential items in a company's data, learning data manipulation will help you get started in the field.‎

Taking online data manipulation courses on Coursera can help you advance in your data science career by improving the skills and tools you have at your disposal, making the information you're able to provide for your employer more accurate and valuable. If you aren't already working in the data science field, taking online courses in data manipulation can serve as a place to begin your industry-specific data analysis education. Courses are available to match your current knowledge base, so whether you're a beginner learning about data manipulation and data science for the first time, or you're approaching courses from an intermediate or advanced level, you can jump in and start learning at your convenience.‎

You need to have strong math skills and at least some computer skills to begin learning data manipulation. Solid reading and critical thinking skills will also help you when you delve into these courses. The data manipulation courses are set up for beginners in the data science field, providing knowledge that's needed to build on as you advance in the data analysis field. Some specific skills you can expect to develop while learning about data manipulation at your own include data visualization, SQL, and Python.‎

Online Data Manipulation courses offer a convenient and flexible way to enhance your knowledge or learn new Data Manipulation skills. Choose from a wide range of Data Manipulation courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Data Manipulation, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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