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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


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

    Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, LangChain, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Business Strategy, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    69 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Intelligence, Model Deployment, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    210 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Covid-19 Death Medical Analysis & Visualization using Plotly

    Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    339 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Evaluation, Performance Tuning, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • Building R Packages: Johns Hopkins University
  • Covid-19 Death Medical Analysis & Visualization using Plotly: Coursera
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Using probability distributions for real world problems in R: Coursera
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera

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