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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 Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    496 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Pennsylvania

    AI in Education: Leveraging ChatGPT for Teaching

    Skills you'll gain: Prompt Engineering, Data Ethics, ChatGPT, Responsible AI, AI Personalization, Student Engagement, Generative AI Agents, Generative AI, Ethical Standards And Conduct, Education Software and Technology, Artificial Intelligence, Digital pedagogy, Teaching, Instructional Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    288 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Mainframe Developer

    Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Virtualization, Agile Methodology, Software Development, Test Driven Development (TDD), Report Writing, Relational Databases, Software Testing, Technical Support, File I/O

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

    Intermediate · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Cloud Identity

    Skills you'll gain: User Provisioning, User Accounts, Mobile Security, Cloud Computing, Security Controls, Identity and Access Management, Cloud Security, Security Assertion Markup Language (SAML), Single Sign-On (SSO), System Configuration, Multi-Factor Authentication, Data Loss Prevention

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Positive Psychology: Character, Grit and Research Methods

    Skills you'll gain: Research Methodologies, Research Design, Qualitative Research, Critical Thinking, Persistence, Program Evaluation, Case Studies, Tenacity, Psychological Evaluations, Surveys, Data Collection, Reliability, Descriptive Statistics, Interviewing Skills

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

    Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Spatial Analysis, Linear Algebra, Matlab, Mathematical Modeling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, AI Enablement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data, Customer experience improvement, Artificial Intelligence, Analytics, Retail Banking, Data Science, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Law, Regulation, and Compliance, Risk Mitigation, Decision Making, Workforce Management, Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Building Cloud Computing Solutions at Scale: Duke University
  • AI in Education: Leveraging ChatGPT for Teaching: University of Pennsylvania
  • IBM Mainframe Developer: IBM
  • Introduction to Cloud Identity: Google Cloud
  • Positive Psychology: Character, Grit and Research Methods: University of Pennsylvania
  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
  • Applied Machine Learning: Johns Hopkins University
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Feature Engineering en Español: Google Cloud

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