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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: New
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    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, Exploratory Data Analysis, Data Cleansing, 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
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    388 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    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 Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    36 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Corporate Finance Institute

    Power Query Fundamentals

    Skills you'll gain: Data Transformation, Extract, Transform, Load, Consolidation, Microsoft Excel, Data Manipulation, Data Cleansing, Data Integration, Data Import/Export, Pivot Tables And Charts, Data Validation, Automation

    4.7
    Rating, 4.7 out of 5 stars
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    74 reviews

    Beginner · Course · 1 - 3 Months

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    Microsoft

    Data Manipulation and Cleaning in R

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    UiPath

    Data Manipulation in RPA

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

    4.8
    Rating, 4.8 out of 5 stars
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    77 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Clean, Analyze, and Visualize Your Data

    Skills you'll gain: Data Preprocessing, Data Visualization, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
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    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 Transformation, Data Pipelines, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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, Data Visualization, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Wrangling, Time Series Analysis and Forecasting, Python Programming, Data Preprocessing, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
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    41 reviews

    Intermediate · Specialization · 3 - 6 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, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

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    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Microsoft Excel, Excel Formulas, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Data Cleansing, Data Manipulation, Data Preprocessing, Excel Macros, Infographics, Data Transformation, Data Analysis, Data Sharing, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Meta

    Python Data Analytics

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

    4.3
    Rating, 4.3 out of 5 stars
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    236 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Data Analytics for Digital Transformation

    Skills you'll gain: Digital Transformation, Business Ethics, Customer experience improvement, Predictive Modeling, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Scikit Learn (Machine Learning Library), Model Evaluation, Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Business Modeling, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies

    4.9
    Rating, 4.9 out of 5 stars
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    29 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

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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 Wrangling with Python: University of Colorado Boulder
  • Power Query Fundamentals: Corporate Finance Institute
  • Data Manipulation and Cleaning in R: Microsoft
  • Data Manipulation in RPA: UiPath
  • Clean, Analyze, and Visualize Your Data: Coursera
  • Data Integration, Data Storage, & Data Migration: SkillUp
  • Data Analysis with Pandas and Python: Packt
  • Excel Basics for Data Analysis: IBM
  • Excel Skills for Data Analytics and Visualization: Macquarie University

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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