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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


  • I

    IBM

    Generative AI for Product Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, ChatGPT, Generative AI, Commercialization, Product Management, Google Gemini, Product Lifecycle Management, Stakeholder Communications, LLM Application, Artificial Intelligence, Customer experience improvement, Team Building, Responsible AI, Return On Investment, Product Development, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Creativity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Job Ready
    Job Ready
    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

  • I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Generative AI, Cloud Security, Cloud Infrastructure, Cybersecurity, Cloud Platforms, Cloud Computing, Data Storage, Peripheral Devices, Virtualization, Computer Hardware, Cyber Attacks, System Configuration, Artificial Intelligence, OSI Models, General Networking, Data Security, Test Planning

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

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI for Human Resources (HR) Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Jira Automation and App Selection

    Skills you'll gain: Due Diligence, Backlogs, Postman API Platform, Strategic Decision-Making, Data Integrity, Data Maintenance, Needs Assessment, Product Knowledge, Technical Management, Stakeholder Communications, Data Manipulation, Requirements Analysis, Process Analysis, Automation, Restful API, Application Programming Interface (API), Business Requirements, Vendor Management

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Job Ready
    Job Ready
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Machine Learning for Supply Chains

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Customer Demand Planning, Machine Learning, Data Science, Data Analysis

    3.4
    Rating, 3.4 out of 5 stars
    ·
    86 reviews

    Intermediate · Specialization · 3 - 6 Months

  • N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    820 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    Universidad de los Andes

    Introducción a la inteligencia artificial contemporánea

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Deep Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 3 Months

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

  • Generative AI for Product Managers: IBM
  • Meta Back-End Developer: Meta
  • Information Technology (IT) and Cloud Fundamentals: IBM
  • Generative AI for Human Resources (HR) Professionals: IBM
  • Supervised Machine Learning: Classification: IBM
  • Jira Automation and App Selection: Coursera
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Meta Front-End Developer: Meta
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Machine Learning for Supply Chains: LearnQuest

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