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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: Trending in AI
    Trending in AI
    V

    Vanderbilt University

    AI Agents and Agentic AI in Python: Powered by Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, AI Orchestration, Prompt Patterns, LangChain, OpenAI API, AI Workflows, LLM Application, Productivity, OpenAI, AI Enablement, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, AI Security, Tool Calling, Creativity, Application Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Data Preprocessing, Predictive Analytics, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Foundations of Business Intelligence

    Skills you'll gain: Stakeholder Engagement, Business Intelligence, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Storytelling, Data Analysis, Key Performance Indicators (KPIs), Data Presentation, Business Process, Project Implementation, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Maximize Productivity With AI Tools

    Skills you'll gain: Gemini, Google Workspace, Productivity Software, Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Responsible AI, Operational Efficiency, Business Workflow Analysis, Human Factors, Complex Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Trending in AI
    Trending in AI
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Apply R for Predictive Analytics and Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    ETL Testing Basics for Databases

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Warehousing, Data Transformation, Data Integration, Databases, Data Manipulation, Real Time Data, AI Workflows, Database Management, Business Workflow Analysis, Performance Tuning, Process Design, Data Validation, Apache, Scalability, Design

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • AI Agents and Agentic AI in Python: Powered by Generative AI: Vanderbilt University
  • Introduction to Artificial Intelligence (AI): IBM
  • Applied Machine Learning Without Coding: Edureka
  • Sequence Models: DeepLearning.AI
  • Foundations of Business Intelligence: Google
  • IBM Introduction to Machine Learning: IBM
  • Maximize Productivity With AI Tools: Google
  • Machine Learning: University of Washington
  • Apply R for Predictive Analytics and Machine Learning: EDUCBA
  • ETL Testing Basics for Databases: Coursera

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