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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


  • U

    University of Michigan

    AI Literacy for Everyone

    Skills you'll gain: ChatGPT, Critical Thinking, AI literacy, Independent Thinking, Generative Model Architectures, Generative AI, Adaptability, Strategic Thinking, AI Enablement, Data Analysis, Organizational Leadership, Leadership Studies, AI powered creativity, Data Ethics, Large Language Modeling, AI Personalization, Model Training, Model Evaluation, AI Integrations, Prompt Engineering

    4.7 stars, 577 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (577) · Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Methods, Statistical Modeling, Predictive Analytics, Predictive Modeling, Correlation Analysis, Descriptive Statistics, Statistical Inference, Data Transformation

    4.6 stars, 1.7K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (1.7K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • K

    KodeKloud

    AWS AI Practitioner (AIF-C01): Exam Walkthrough & Mock Exam

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, AWS SageMaker, Amazon Web Services, Model Evaluation, AWS Identity and Access Management (IAM), AI Enablement, Decision Intelligence, Prompt Engineering, AWS Kinesis, Large Language Modeling, AWS CloudFormation, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Data Processing, Cloud Computing, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • K

    KodeKloud

    AWS GenAI: RAG, AI Agents and Responsible AI

    Skills you'll gain: Prompt Engineering, Responsible AI, Amazon Bedrock, Retrieval-Augmented Generation, Multimodal Prompts, Generative AI, AWS SageMaker, Generative AI Agents, LLM Application, Vector Databases, Amazon Web Services, Large Language Modeling, Agentic Workflows, Human Centered Design, Agentic systems, Embeddings, Data Ethics, Data Governance, Natural Language Processing, Benchmarking

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • A

    Amazon Web Services

    Gen AI Dev- Design and Implement Vector Store Solutions

    Skills you'll gain: Generative Model Architectures, Generative AI, Retrieval-Augmented Generation, Metadata Management, Amazon S3, Enterprise Architecture, Data Maintenance, AI Integrations, Amazon Web Services, Data Store, Taxonomy, Prompt Engineering, Amazon DynamoDB, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Artificial Intelligence, Data Pipelines, Natural Language Processing, Machine Learning

    Advanced · Course · 1 - 3 Months

    Category: New
    New
  • D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    4.8 stars, 1.7K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.8 (1.7K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • E

    Edureka

    Deploying Fine-Tuned AI Models

    Skills you'll gain: Model Deployment, Responsible AI, MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, Model Training, AI Workflows, Model Evaluation, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Scalability, Large Language Modeling, Machine Learning, LLM Application, Application Programming Interface (API), Data Governance

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • E

    Edureka

    Multimodal AI and Agent Fundamentals

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, AI Workflows, LLM Application, Generative AI Agents, Agentic Workflows, Prompt Patterns, Large Language Modeling, Tool Calling, Prompt Engineering Tools, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Agentic systems, Natural Language Processing, Image Analysis, Computer Vision, Context Management, API Design, Python Programming, Document Management

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    4.7 stars, 2.4K reviews, Mixed, Course, 1 - 3 Months

    ★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Network Model, Graph Theory, Data Analysis, Analysis, Predictive Analytics, Predictive Modeling, Python Programming, Algorithms

    4.6 stars, 2.7K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (2.7K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google

    लेखन और संवाद को निखारने के लिए एआई

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • J

    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular data manipulation courses

  • AI Literacy for Everyone: University of Michigan
  • Practical Time Series Analysis: The State University of New York
  • AWS AI Practitioner (AIF-C01): Exam Walkthrough & Mock Exam: KodeKloud
  • AWS GenAI: RAG, AI Agents and Responsible AI: KodeKloud
  • Gen AI Dev- Design and Implement Vector Store Solutions: Amazon Web Services
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Deploying Fine-Tuned AI Models: Edureka
  • Multimodal AI and Agent Fundamentals: Edureka
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Applied Social Network Analysis in Python: University of Michigan

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