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  2. Data Manipulation

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


  • 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
  • C

    Coursera

    Mastering Data Analysis with Pandas

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

    4.6 stars, 182 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (182) · Beginner · Guided Project · Less Than 2 Hours

  • 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, Database Architecture and Administration, Database Theory, Operational Databases, Database Development, Data Integrity, Database Software, Data Access, Generative AI, Performance Tuning, Software Installation

    4.3 stars, 57 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.3 (57) · Beginner · Course · 1 - 4 Weeks

    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 stars, 6 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.7 (6) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
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  • P

    Packt

    Intermediate Data Manipulation and Analysis with Pandas

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Wrangling, Data Transformation, Data Import/Export, Data Cleansing, Data Integration, Microsoft Excel, Data Preprocessing, Text Mining, Time Series Analysis and Forecasting, Exploratory Data Analysis, Jupyter, Data Analysis, File I/O, Data Science, Python Programming, Data Visualization

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
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  • 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 Management Systems, Data Security, Identity and Access Management, Data Management, Data Integrity, Performance Tuning

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • M

    Microsoft

    Data Cleaning & Processing with Copilot in Excel

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, Data Cleansing, Microsoft Excel, Data Manipulation, Data Quality, Prompt Engineering Tools, Data Analysis, Data Wrangling, Analysis, Data Transformation, Data Validation, Data Preprocessing, Data Processing, Data Integrity

    4.4 stars, 76 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.4 (76) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • M

    Microsoft

    Data Processing and Optimization with Generative AI

    Skills you'll gain: Data Ethics, Generative AI, Responsible AI, Data Preprocessing, Generative Adversarial Networks (GANs), Generative Model Architectures, Data Processing, Data Manipulation, Feature Engineering, Data Quality, Data Cleansing, Data Wrangling, Data Synthesis, Data Transformation, Pandas (Python Package), Microsoft Copilot, Data Validation, Model Evaluation, Information Privacy, Anomaly Detection

    3.9 stars, 38 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.9 (38) · Intermediate · 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 stars, 773 reviews, Mixed, Course, 1 - 3 Months

    ★ 4.3 (773) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • M

    Macquarie University

    Python for Data Analytics

    Skills you'll gain: Data Visualization, Data Analysis, Data Wrangling, Data Manipulation, Exploratory Data Analysis, Jupyter, Data Import/Export, Data Transformation, Statistical Methods, Data Preprocessing, Python Programming, Data Processing, Data Dictionary, Data Mapping, Data Structures, Feature Engineering, Data Management, Data Storage, Scripting Languages, Model Training

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
  • U

    University of Colorado Boulder

    Data Wrangling with Python

    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 stars, 43 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.5 (43) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of California, Davis

    Data Manipulation in JavaScript

    Skills you'll gain: Javascript and jQuery, jQuery, Data Validation, Javascript, Event-Driven Programming, Application Programming Interface (API), Object Oriented Programming (OOP)

    4.8 stars, 70 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (70) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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Best Data Manipulation courses from Microsoft

Top-rated Data Manipulation courses offered by Microsoft on Coursera.

  1. 1
    Data Manipulation and Cleaning in R
    MicrosoftBeginner1 - 3 Months5.0(2)Microsoft
  2. 2
    Data Manipulation and Transactions in SQL Server
    MicrosoftBeginner1 - 4 Weeks4.3(57)Microsoft
  3. 3
    Data Cleaning & Processing with Copilot in Excel
    MicrosoftBeginner1 - 3 Months4.4(76)Microsoft

Best Data Manipulation courses for beginners

Top-rated beginner-friendly Data Manipulation courses with no prerequisites.

  1. 1
    Mastering Data Analysis with Pandas
    CourseraBeginnerLess Than 2 Hours4.6(182)No prerequisites
  2. 2
    Foundations of R Programming and Basic Data Manipulation
    PacktBeginner1 - 3 Months4.7(6)No prerequisites
  3. 3
    Python for Data Analytics
    Macquarie UniversityBeginner1 - 3 MonthsNo prerequisites

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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