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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

    • B

      Board Infinity

      Excel Essentials and Beyond

      Skills you'll gain: Microsoft Excel, Dashboard, Pivot Tables And Charts, Data Storytelling, Spreadsheet Software, Data Visualization Software, Excel Formulas, Data Manipulation, Data Cleansing, Data Validation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Python

      Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computational Thinking, Computer Programming, Application Development, Scientific Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado System

      Introduction to C# Programming and Unity

      Skills you'll gain: Unity Engine, Debugging, Object Oriented Programming (OOP), Video Game Development, C# (Programming Language), Game Design, Computer Programming, Integrated Development Environments, Data Storage, User Interface (UI), Scripting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      AI Applications in Marketing and Finance

      Skills you'll gain: AI Personalization, Big Data, Credit Risk, Risk Management, Personalized Service, Digital Transformation, Business Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Data Mining, Customer Engagement, Risk Analysis, Advanced Analytics, Data-Driven Decision-Making, Anomaly Detection, MarTech, Financial Data, Consumer Behaviour, Customer experience improvement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      394 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Meta

      Measure and Optimize Social Media Marketing Campaigns

      Skills you'll gain: Marketing Analytics, Social Media Marketing, Social Media Campaigns, Marketing Effectiveness, Social Media Strategy, Digital Advertising, Advertising Campaigns, Social Media, Marketing Budgets, Data Analysis, Data Presentation, Marketing, Facebook, A/B Testing, Key Performance Indicators (KPIs), Performance Reporting, Return On Investment, Presentations, Goal Setting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      COVID19 Data Analysis Using Python

      Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Infectious Diseases

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Explore Core Data Concepts in Microsoft Azure

      Skills you'll gain: Microsoft Azure, Data Processing, Databases, Database Systems, Data Storage, Database Management, Relational Databases, Query Languages, NoSQL, Transaction Processing, Data Management, Cloud Computing, Data Analysis, Unstructured Data, Data Visualization Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      452 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SkillUp EdTech

      Prep for Microsoft Azure Data Engineer Associate Cert DP-203

      Skills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Six Sigma Tools for Analyze

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Lean Methodologies, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Systems Of Measurement, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Excel/VBA for Creative Problem Solving, Part 1

      Skills you'll gain: Excel Macros, Programming Principles, Visual Basic (Programming Language), Data Structures, Program Development, Computer Programming, Spreadsheet Software, Automation, Algorithms, Debugging, Data Management, Data Cleansing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Excel Essentials and Beyond: Board Infinity
    • Introduction to Python: Coursera Project Network
    • Introduction to C# Programming and Unity: University of Colorado System
    • AI Applications in Marketing and Finance: University of Pennsylvania
    • Statistical Inference: Johns Hopkins University
    • Measure and Optimize Social Media Marketing Campaigns: Meta
    • COVID19 Data Analysis Using Python: Coursera Project Network
    • Explore Core Data Concepts in Microsoft Azure: Microsoft
    • Prep for Microsoft Azure Data Engineer Associate Cert DP-203: SkillUp EdTech
    • Six Sigma Tools for Analyze: Kennesaw State University

    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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