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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


  • S

    Stanford Online

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6 stars, 1.6K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.6 (1.6K) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of Glasgow

    Applied AI for Engineers and Scientists: Practitioners

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    4.4 stars, 364 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.4 (364) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4 stars, 2.1K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (2.1K) · Advanced · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming

    4.5 stars, 710 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.5 (710) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7 stars, 2.1K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, AI literacy, Brainstorming, AI powered creativity, Email Automation, Ideation, Timelines, AI Enablement, LLM Application, AI Personalization, Taking Meeting Minutes, Concision, Large Language Modeling, Business Writing

    4.8 stars, 1.3K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (1.3K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, R (Software), Neurology, R Programming, Radiology, Image Quality, Data Processing, Software Visualization, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export, Package and Software Management

    4.6 stars, 316 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (316) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7 stars, 3.7K reviews, Mixed, Course, 1 - 3 Months

    ★ 4.7 (3.7K) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Microsoft Excel 365 Fundamentals

    Beginner · Course · 1 - 3 Months

    Category: New
    New
  • P

    Packt

    The Ultimate Excel Pivot Table Course

    Beginner · Course · 1 - 3 Months

    Category: New
    New
  • J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Statistical Methods, Data Analysis, Research Design, Image Analysis, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Science and Research, Statistical Analysis, Statistical Modeling, Spatial Analysis, Statistical Inference, Statistics, Probability & Statistics

    4.7 stars, 852 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (852) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular data manipulation courses

  • Probabilistic Graphical Models: Stanford Online
  • Applied AI for Engineers and Scientists: Practitioners: University of Glasgow
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Generative AI for NLP with PyTorch: IBM
  • AI Capstone Project with Deep Learning: IBM
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Design Prompts for Everyday Work Tasks: Google
  • Introduction to Neurohacking In R: Johns Hopkins University
  • Machine Learning: Classification: University of Washington
  • Microsoft Excel 365 Fundamentals: Packt

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