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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 Pennsylvania

    Business Analytics Capstone

    Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Operational Efficiency, Peer Review, Marketing Analytics, Data Analysis, Marketing, Performance Measurement, Operations, Analysis, Business Strategies, Business Metrics, Digital Advertising, Presentations, Problem Management, Advertising

    4.5
    Rating, 4.5 out of 5 stars
    ·
    775 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Automation & Advanced Techniques with Copilot in Excel

    Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Scenario Testing, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Python and Statistics for Financial Analysis

    Skills you'll gain: Statistical Inference, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Model Evaluation, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Customer Support

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Standard Operating Procedure, Customer Support, Product Support, Responsible AI, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Artificial Intelligence, AI Workflows, Data Ethics, Customer Insights, AI Personalization, Automation, Machine Learning, Natural Language Processing, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Alteryx for Beginners

    Skills you'll gain: Alteryx, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Preprocessing, Data Integration, Data Transformation, Data Analysis, Microsoft Excel, Text Mining, Data Visualization Software, Excel Formulas

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 3 - 6 Months

  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    360 reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Data Presentation, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Classification Algorithms, Microsoft Excel, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    351 reviews

    Beginner · Course · 1 - 3 Months

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Hands-On Projects
    Hands-On Projects
    M

    Meta

    Meta Back-End Developer

    Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, GitHub, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Specialization · 3 - 6 Months

  • L

    Logical Operations

    SQL Querying: Advanced

    Skills you'll gain: Microsoft SQL Servers, SQL, Query Languages, Transaction Processing, Database Management, Data Manipulation, Relational Databases, Databases, Database Design, Database Software, Data Management, Data Integrity, Performance Tuning

    Mixed · Course · 1 - 3 Months

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

  • Business Analytics Capstone: University of Pennsylvania
  • Automation & Advanced Techniques with Copilot in Excel: Microsoft
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
  • Generative AI for Customer Support: IBM
  • Alteryx for Beginners: Packt
  • IBM AI Enterprise Workflow: IBM
  • Predictive Modeling and Analytics : University of Colorado Boulder
  • Managing Machine Learning Projects: Duke University
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Meta Back-End Developer: Meta

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