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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

    Optimize AI: Build Fast Efficient Pipelines

    Skills you'll gain: Dataflow, Performance Testing, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Computational Thinking, Data Processing, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Power BI for Beginners: Interactive Dashboard Fundamentals

    Skills you'll gain: Key Performance Indicators (KPIs), Power BI, Dashboard, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Business Metrics, Performance Analysis, Data Visualization Software, Data Import/Export, Business Intelligence, Regional Sales, Sales Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    74 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: Generative AI, ChatGPT, Large Language Modeling, Prompt Engineering, Responsible AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Social Impact, Business Economics, Culture, Business Ethics, Law, Regulation, and Compliance, Intellectual Property

    4.7
    Rating, 4.7 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    CertNexus

    CertNexus Certified Ethical Emerging Technologist

    Skills you'll gain: Crisis Management, Data Ethics, Governance, Business Ethics, Responsible AI, Media Relations, Strategic Thinking, Communication Strategies, Business Leadership, Accountability, Ethical Standards And Conduct, Emerging Technologies, Organizational Leadership, Public Relations, Operational Risk, Risk Management, Communication, Leadership, Learning Strategies, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    609 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    307 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Geospatial Analysis with ArcGIS

    Skills you'll gain: ArcGIS, Data Storytelling, Spatial Data Analysis, Data Presentation, Geographic Information Systems, Spatial Analysis, Geospatial Mapping, Heat Maps, Data Visualization Software, Network Analysis, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    122 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Virtual Networking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Optimize AI: Build Fast Efficient Pipelines: Coursera
  • Sample-based Learning Methods: University of Alberta
  • Power BI for Beginners: Interactive Dashboard Fundamentals: Coursera
  • Deep Learning with Keras and Tensorflow: IBM
  • Generative AI Essentials: Overview and Impact: University of Michigan
  • CertNexus Certified Ethical Emerging Technologist: CertNexus
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Machine Learning Introduction for Everyone: IBM
  • Geospatial Analysis with ArcGIS : University of California, Davis

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