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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


  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Automation

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI Workflows, AI powered creativity, Responsible AI, Data Visualization, Document Management, Ideation, Verification And Validation, Data Presentation, LLM Application, AI literacy, Generative AI, AI Enablement, Risking, Multimodal Prompts, Image Analysis, Artificial Intelligence, Data Compilation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Programmer

    Skills you'll gain: SAS (Software), Data Manipulation, Statistical Reporting, Data Import/Export, Requirements Analysis, Data Transformation, Data Validation, Analysis, Data Access, Statistical Analysis, Statistical Programming, Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Wrangling, Data Analysis Software, Microsoft Excel, Data Processing, Data Preprocessing, Data Integration

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Feature Engineering, Model Training, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Geographic Information Systems (GIS)

    Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Spatial Analysis, Data Storytelling, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Geostatistics, Epidemiology, Community Health, Image Analysis, Land Development, Project Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    PwC

    Problem Solving with Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Complex Problem Solving, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Getting Started with SAS Programming

    Skills you'll gain: SAS (Software), Statistical Reporting, Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Analysis Software, Data Preprocessing, Data Analysis, Data Transformation, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS, Mapping, and Spatial Analysis

    Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Data Mapping, Metadata Management, Query Languages, Data Manipulation, Data Visualization, Quantitative Research, Data Compilation, Data Literacy, Data Access, Interactive Data Visualization, Data Processing, Typography, Data Wrangling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Generative AI Automation: Vanderbilt University
  • The R Programming Environment: Johns Hopkins University
  • SAS Programmer: SAS
  • Convolutional Neural Networks: DeepLearning.AI
  • Geographic Information Systems (GIS): University of California, Davis
  • IBM Introduction to Machine Learning: IBM
  • Generative AI: Introduction and Applications: IBM
  • Advanced Learning Algorithms: DeepLearning.AI
  • Problem Solving with Excel: PwC
  • Generative AI: Prompt Engineering Basics: IBM

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