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  • 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


  • U

    University of Colorado Boulder

    Modeling Climate Anomalies with Statistical Analysis

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft 365 Fundamentals

    Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Collaborative Software, Microsoft Office, Productivity Software, Data Import/Export, Microsoft Windows, Editing, Document Management, Technical Documentation, Writing, Computer Literacy, Web Content Accessibility Guidelines

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Meta

    React Basics

    Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Sound the Alarm: Detection and Response

    Skills you'll gain: Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Threat Detection, Event Monitoring, Security Information and Event Management (SIEM), Incident Management, Security Management, Continuous Monitoring, Network Security, Network Monitoring, Splunk, Network Analysis, TCP/IP, Network Protocols, Query Languages

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ChatGPT for Beginners: Using AI for Market Research

    Skills you'll gain: ChatGPT, Market Research, Marketing, Prompt Engineering, Language Interpretation, Translation, and Studies, Generative AI, Content Marketing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    95 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IESE Business School

    Think like a CFO

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Market, Income Statement, Corporate Finance, Accounting, Financial Management, Cash Flows, Financial Acumen, Balance Sheet, Financial Modeling, Accrual Accounting, Financial Accounting, Financial Data, Financial Analysis, Management Accounting, Capital Budgeting, Finance, Equities, Business Valuation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Master and Apply Redis for Scalable Systems

    Skills you'll gain: Redis, Data Persistence, NoSQL, Data Store, Operational Databases, Performance Tuning, Transaction Processing, Key Management, Server Administration, Data Structures, Data Storage, Real Time Data, Data Management, Event-Driven Programming, Scalability, Data Manipulation, Big Data, Query Languages, Data Modeling, Scripting

    Beginner · Specialization · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Modeling Climate Anomalies with Statistical Analysis: University of Colorado Boulder
  • Microsoft 365 Fundamentals: Microsoft
  • React Basics: Meta
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Foundations of Machine Learning: Coursera
  • Sound the Alarm: Detection and Response: Google
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
  • ChatGPT for Beginners: Using AI for Market Research: Coursera
  • Think like a CFO: IESE Business School

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