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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

    Universidad Nacional de Colombia

    Sistemas difusos

    Skills you'll gain: Mathematical Modeling, Software Systems, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Logical Reasoning, Arithmetic, Algorithms

    5
    Rating, 5 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • S

    SkillUp

    Intro to Lean Six Sigma and Project Identification Methods

    Skills you'll gain: Process Mapping, Lean Six Sigma, Six Sigma Methodology, Risk Management, Process Flow Diagrams, Process Improvement, Customer Analysis, Quality Improvement, User Feedback, Continuous Improvement Process, Key Performance Indicators (KPIs), Project Documentation, Project Scoping

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Generative AI's Applications in Marketing Analytics

    Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Production-Ready Apps with Large Language Models

    Skills you'll gain: Prompt Engineering, LLM Application, Model Deployment, Responsible AI, Application Deployment, Application Development, Hugging Face, Data Ethics, Generative AI, AI Security, Application Security, Continuous Monitoring

    4
    Rating, 4 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Perplexity.AI for Beginners: AI-Powered Search

    Skills you'll gain: Prompt Engineering, AI Enablement, Technical Communication, Artificial Intelligence, Information Architecture, User Interface (UI)

    3.5
    Rating, 3.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

  • M

    Microsoft

    Introduction to Computers

    Skills you'll gain: Business Software, Computer Hardware, Generative AI, Operating Systems, Data Storage Technologies, Computer Systems, Enterprise Security, System Software, Information Technology, Hardware Troubleshooting, Computer Architecture, Technology Solutions, System Configuration, Technical Support and Services, Servers, Cybersecurity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Introduction to Digital health

    Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, digital literacy, Interoperability, Public Health, Epidemiology, Big Data, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    264 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of London

    Introduction to Computer Programming

    Skills you'll gain: Debugging, Development Environment, Javascript, Computer Programming Tools, Computer Graphics, Software Development Tools, Computer Programming, Graphical Tools, Interactive Design, Human Computer Interaction, Data Management

    4.1
    Rating, 4.1 out of 5 stars
    ·
    931 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    3D CAD Fundamental

    Skills you'll gain: 3D Modeling, SketchUp (3D Modeling Software), Software Installation, Visualization (Computer Graphics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    673 reviews

    Beginner · Course · 1 - 3 Months

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

  • Sistemas difusos: Universidad Nacional de Colombia
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University
  • Intro to Lean Six Sigma and Project Identification Methods : SkillUp
  • Generative AI's Applications in Marketing Analytics: Edureka
  • Building Production-Ready Apps with Large Language Models: Coursera
  • Perplexity.AI for Beginners: AI-Powered Search: Coursera
  • Foundations of marketing analytics: ESSEC Business School
  • Introduction to Computers: Microsoft
  • Introduction to Digital health: Imperial College London

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