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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

    • U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Operations Analytics

      Skills you'll gain: Business Analytics, Descriptive Analytics, Predictive Analytics, Analytics, Demand Planning, Data-Driven Decision-Making, Operational Analysis, Business Operations, Risk Analysis, Forecasting, Operations Management, Simulation and Simulation Software, Process Optimization, Decision Making, Decision Tree Learning, Spreadsheet Software, Microsoft Excel, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Perform exploratory data analysis on retail data with Python

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Matplotlib, Data Manipulation, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Emory University

      Management Consulting

      Skills you'll gain: Data Cleansing, Presentations, Microsoft PowerPoint, Management Consulting, Executive Presence, Business Consulting, Benchmarking, Microsoft Excel, Storytelling, Data Storytelling, Proposal Development, Oral Expression, Business Research, Interviewing Skills, Six Sigma Methodology, Consultative Approaches, Analytical Skills, Data Quality, Professional Networking, Business Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: Save time with Microsoft Excel

      Skills you'll gain: Microsoft Excel, ChatGPT, Excel Formulas, Text Mining, Data Cleansing, Data Manipulation, Data Analysis Software, Unstructured Data, Generative AI, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Virginia

      Introduction to Personal Branding

      Skills you'll gain: Branding, Brand Strategy, Brand Management, Personal Attributes, Digital Assets, Social Media, Personally Identifiable Information, Computer Security Awareness Training, Self-Awareness, Social Media Strategy, Information Privacy, Constructive Feedback

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8.8K reviews

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Introduction to Clinical Data

      Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Medical Records, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Collection, Data Manipulation, Text Mining, Health Disparities, Data Processing, Medical Imaging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      430 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IIMA - IIM Ahmedabad

      Pre-MBA Statistics

      Skills you'll gain: Sampling (Statistics), Probability, Statistical Hypothesis Testing, Statistics, Data Literacy, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      M

      Meta

      Meta Android UI Development

      Skills you'll gain: Android Studio, Android Jetpack, Android Development, Kotlin, Android (Operating System), Responsive Web Design, Mobile Development, UI Components, Unit Testing, Gradle, User Interface (UI) Design, Object Oriented Programming (OOP), User Interface (UI), Application Development, Integrated Development Environments, Development Environment, Programming Principles, Test Driven Development (TDD), Cross Platform Development, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

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

    • Python Functions, Files, and Dictionaries: University of Michigan
    • Operations Analytics: University of Pennsylvania
    • Perform exploratory data analysis on retail data with Python: Coursera Project Network
    • Sequences, Time Series and Prediction: DeepLearning.AI
    • Risk Management: New York Institute of Finance
    • Management Consulting: Emory University
    • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera Project Network
    • Introduction to Personal Branding: University of Virginia
    • Introduction to Clinical Data: Stanford University
    • Pre-MBA Statistics: IIMA - IIM Ahmedabad

    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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