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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


  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: AI Skills
    AI Skills
    G

    Google

    Google Digital Marketing & E-commerce

    Skills you'll gain: Data Storytelling, Media Planning, Social Media Marketing, Google Ads, Email Marketing, Social Media Strategy, Order Fulfillment, Social Media Management, Online Advertising, Search Engine Optimization, Performance Measurement, Spreadsheet Software, A/B Testing, Client Services, Campaign Management, E-Commerce, Loyalty Programs, Marketing, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Load Balancing, Large Language Modeling, Containerization, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, API Design, MLOps (Machine Learning Operations), Image Quality

    Intermediate · Professional Certificate · 3 - 6 Months

  • E

    EDUCBA

    Apply Financial Risk, Capital & Governance Analytics

    Skills you'll gain: Risk Modeling, Risk Analysis, Lending and Underwriting, Risk Management Framework, Financial Analysis, Financial Market, Portfolio Risk, Risk Management, Bank Regulations, Financial Systems, Operational Risk, Analysis, Commercial Lending, Responsible AI, Business Risk Management, Safety Culture, Financial Regulation, Business Continuity, Governance, Capital Budgeting

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    799 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Database systems

    Skills you'll gain: NoSQL, Data Warehousing, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Business Intelligence, Big Data, Database Architecture and Administration, Information Systems, Database Systems, MySQL, Predictive Analytics, Database Design, MongoDB, Data Modeling, Scalability, Database Management Systems

    4.3
    Rating, 4.3 out of 5 stars
    ·
    697 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Mathematics for Machine Learning: PCA: Imperial College London
  • Google Digital Marketing & E-commerce: Google
  • Build Predictive & Supervised Models: Coursera
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Introduction to Machine Learning: Duke University
  • Fundamentals of Machine Learning: Packt
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Apply Financial Risk, Capital & Governance Analytics: EDUCBA
  • Bayesian Statistics: Duke University

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