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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


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    Universitat Politècnica de València

    Técnicas Cuantitativas y Cualitativas para la Investigación

    Skills you'll gain: Econometrics, Qualitative Research, Scientific Methods, Research, Quantitative Research, STATA (Software), Research Methodologies, Data Analysis, Research Design, Stata, Data Ethics, Data Collection, Statistical Methods, Statistical Analysis, Analytical Skills, Informed Consent, Surveys, Estimation, Regression Analysis, Ethical Standards And Conduct

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Analyze and Defend Against GenAI Social Engineering Attacks

    Skills you'll gain: Cybersecurity, Threat Modeling, AI Enablement, AI Personalization, Artificial Intelligence, Incident Response, Deep Learning

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

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    Universidad Austral

    Excel aplicado a los negocios (Nivel Avanzado)

    Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Business Analysis, Data Validation, Business Analytics, Data Import/Export, Process Optimization, Business Modeling, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Intermediate · Course · 1 - 3 Months

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    Logical Operations

    R Programming: Conditionals, Loops, Functions, and Packages

    Skills you'll gain: R Programming, Maintainability, Package and Software Management, R (Software), Programming Principles, Statistical Programming, Computer Programming, Data Structures, Software Development, Data Science, Computer Programming Tools, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4.2K reviews

    Beginner · Course · 1 - 4 Weeks

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    Status: AI skills
    AI skills
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    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
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    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Stay Ahead of the AI Curve

    Skills you'll gain: AI Enablement, Strategic Thinking, Technology Roadmaps, AI Workflows, Generative AI, Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    5.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning

    Beginner · Specialization · 1 - 3 Months

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    Logical Operations

    SAP Crystal Reports 2020 Mastery

    Skills you'll gain: Data Presentation, Heat Maps, Geospatial Mapping, SQL, Data Visualization Software, Statistical Reporting, Statistical Visualization, Data Visualization, Plot (Graphics), Pivot Tables And Charts, Management Reporting, Business Reporting, Microsoft Access, Business Intelligence Software, Business Intelligence, Data Analysis Software, Data Analysis, Relational Databases, Query Languages, Microsoft Office

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Statistical Tests for Market Research

    Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software

    Beginner · Course · 1 - 4 Weeks

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1…169170171…834

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

  • Técnicas Cuantitativas y Cualitativas para la Investigación: Universitat Politècnica de València
  • Analyze and Defend Against GenAI Social Engineering Attacks: EDUCBA
  • Databricks ML in Action: Packt
  • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
  • R Programming: Conditionals, Loops, Functions, and Packages: Logical Operations
  • Generative AI: Introduction and Applications: IBM
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Stay Ahead of the AI Curve: Google
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud

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