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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


  • E

    EDUCBA

    Analyze Supply Chain Demand Trends Using Heatmaps & Clusters

    Skills you'll gain: Advanced Analytics, Supply Chain Management, Business Analytics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • U

    University of California, Davis

    Creating Dashboards and Storytelling with Tableau

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization, Stakeholder Analysis, Tableau Software, Data Visualization Software, Requirements Analysis, Stakeholder Management, Data Cleansing, Storyboarding, Data Manipulation, Data Quality, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Analyze and Predict Card Purchases Using R

    Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Modeling, Risk Modeling, Decision Tree Learning, Data Analysis, R Programming, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Exploratory Data Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Marketing Performance Using R and Excel

    Skills you'll gain: Marketing Analytics, Customer Analysis, Marketing Effectiveness, Customer Retention, Advanced Analytics, Market Analysis, Sales Management, Customer Insights, Loyalty Programs, Data-Driven Decision-Making, Customer Service, Predictive Analytics, Business Metrics, Case Studies, R Programming, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Model Evaluation, Mathematical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, ChatGPT, AI Enablement, Generative AI Agents, Ideation, Scenario Testing, Solution Design, Software Versioning

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

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Master Excel Automation Using Java, .NET, and Python

    Skills you'll gain: Business Process Automation, Data Presentation, Java, Productivity Software, C# (Programming Language), Data Capture, File I/O, Programming Principles, Scalability, Debugging

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Predict Shipping Time Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory Management System, Logistics, Forecasting, Exploratory Data Analysis, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Correlation Analysis, Transportation Operations, Statistical Analysis, Data Analysis, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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

  • Analyze Supply Chain Demand Trends Using Heatmaps & Clusters: EDUCBA
  • Deep Learning Engineering: Coursera
  • Creating Dashboards and Storytelling with Tableau: University of California, Davis
  • Machine Learning on Google Cloud: Google Cloud
  • Analyze and Predict Card Purchases Using R: EDUCBA
  • Vision Models: Train and Evaluate: Coursera
  • Analyze Marketing Performance Using R and Excel: EDUCBA
  • Bayesian Statistics: University of California, Santa Cruz
  • Use AI as a Creative or Expert Partner: Google
  • Machine Learning Foundations: A Case Study Approach: University of Washington

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