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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.


More to explore:

Popular Data Manipulation Courses and Certifications


  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    JavaScript for Beginners

    Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Manipulation, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, Event-Driven Programming, Web Development Tools, Web Design and Development, Cascading Style Sheets (CSS), Game Design, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Animations, Programming Principles

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 1

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 1

    Skills you'll gain: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Generative Model Architectures, Natural Language Processing, Transfer Learning

    3.2
    Rating, 3.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Financial Analysts: Essential Predictive Analytics

    Skills you'll gain: Generative AI, Financial Forecasting, Predictive Modeling, Financial Modeling, Financial Data, Market Data, Predictive Analytics, Financial Analysis, Portfolio Management, Advanced Analytics, Risk Management, Investment Management, Spreadsheet Software, Financial Reporting, Analysis, Power BI, Automation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    MongoDB Tutorial for Beginners (2024)

    Skills you'll gain: MySQL, SQL, Databases, Relational Databases, Performance Tuning, Software Installation, Data Management, System Configuration

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Структурирование проектов по машинному обучению

    Skills you'll gain: Transfer Learning, Debugging, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Machine Learning, Model Evaluation, Estimation, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

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

  • Compare Models with Experiments in Azure ML Studio: Coursera
  • JavaScript for Beginners: University of California, Davis
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Engineering Probability and Statistics Part 1: Northeastern University
  • H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
  • GenAI for Financial Analysts: Essential Predictive Analytics: Coursera
  • Deep Learning with PyTorch : GradCAM: Coursera
  • MongoDB Tutorial for Beginners (2024): Packt
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Структурирование проектов по машинному обучению: DeepLearning.AI

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