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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


  • C

    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Design Patterns, Software Architecture, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google

    AI for App Building

    Skills you'll gain: Vibe coding, Responsible AI, Google Gemini, Google Cloud Platform, Generative AI, Process Analysis, Artificial Intelligence, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    422 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Reproduce and Evaluate AI Research Workflows

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.4
    Rating, 3.4 out of 5 stars
    ·
    100 reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Microsoft

    Creative Designing in Power BI

    Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Dashboard, Data Visualization Software, Data Visualization, Report Writing, Multimedia, Data Analysis, Creative Design, Management Reporting, Data Mapping, Data Security, Key Performance Indicators (KPIs), Target Audience

    4.5
    Rating, 4.5 out of 5 stars
    ·
    357 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Boost RAG with Chroma

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, LLM Application, Large Language Modeling, Embeddings, Vector Databases, AI Orchestration, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

  • N
    G
    N
    G

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

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1…175176177…834

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

  • Apply SOLID Design to Optimize Java ML: Coursera
  • Hadoop Platform and Application Framework: University of California San Diego
  • Feature Engineering: Google Cloud
  • AI for App Building: Google
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Reproduce and Evaluate AI Research Workflows: Coursera
  • AI for Scientific Research: LearnQuest
  • Creative Designing in Power BI : Microsoft
  • Boost RAG with Chroma: Coursera
  • Inferential Statistics: Duke University

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