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    • Data Manipulation

    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

    • J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      830 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Intermediate · Course · 1 - 3 Months

    • D
      A

      Multiple educators

      DeepLearning.AI Data Engineering

      Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Data Integration, AWS Kinesis, Infrastructure as Code (IaC)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      439 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Software Development Tools, Web Development, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      Business Analytics

      Skills you'll gain: People Analytics, Data-Driven Decision-Making, Business Analytics, Descriptive Analytics, Business Intelligence, Human Resource Strategy, Financial Data, Marketing Analytics, Analytics, Talent Management, Financial Analysis, Predictive Analytics, Peer Review, Business Analysis, Financial Statement Analysis, Financial Forecasting, Customer Insights, Workforce Planning, Demand Planning, Customer Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Preparing Data for Analysis with Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Productivity Software, Data Cleansing, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data-Driven Decision-Making, Predictive Modeling, Machine Learning Methods, Interviewing Skills, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      88 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Data Analysis with Spreadsheets and SQL

      Skills you'll gain: Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data-Driven Decision-Making, Statistical Analysis, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 3 Months

    Data Manipulation learners also search

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    1…789…597

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

    • A Crash Course in Data Science: Johns Hopkins University
    • Introduction to Data Analytics: Meta
    • Excel Fundamentals for Data Analysis: Macquarie University
    • DeepLearning.AI Data Engineering: DeepLearning.AI
    • IBM AI Developer: IBM
    • Business Analytics: University of Pennsylvania
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • Google Advanced Data Analytics Capstone: Google
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • Data Analysis with Tableau: Tableau Learning Partner

    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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