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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 Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • T

    Tableau Learning Partner

    Advanced Data Visualization with Tableau

    Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Interactive Data Visualization, Data Presentation, Stakeholder Communications, Geospatial Mapping, Business Reporting, Data Analysis, Business Analytics, Data Mapping

    4.9
    Rating, 4.9 out of 5 stars
    ·
    105 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Process & Analyze Real-Time Data Fast

    Skills you'll gain: Real Time Data, Apache Spark, Fraud detection, PySpark, Databricks, Data Pipelines, Dashboard, Big Data, Performance Tuning, Data Processing, Anomaly Detection, Operational Databases, Internet Of Things, Data Analysis, Performance Analysis, Trend Analysis

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Advanced Data Engineering

    Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Vector Databases, Scalability, Database Management Systems, Database Management, Data Pipelines, Data Architecture, Real Time Data, MySQL, Complex Problem Solving, Data Import/Export, Data Transformation, Graph Theory

    4.2
    Rating, 4.2 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Present Compelling Executive Reports with Data

    Skills you'll gain: Dashboard, Data Presentation, Presentations, Data Storytelling, Performance Reporting, Business Reporting, Management Reporting, Verbal Communication Skills, Concision, Data Visualization, Key Performance Indicators (KPIs), Business Metrics, Trend Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Importing Data into R

    Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Foundations of Data Visualization

    Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM Data Topology

    Skills you'll gain: Multi-Cloud, Data Architecture, Data Flow Diagrams (DFDs), Multi-Tenant Cloud Environments, Dataflow, Data Management, Regulatory Compliance, Information Architecture, Data Infrastructure, AI Enablement, Data Integration, Data Strategy, Data Science, Strategic Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Convolutional Neural Networks, Program Development

    3
    Rating, 3 out of 5 stars
    ·
    29 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    LangChain Chat with Your Data

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, ChatGPT, Large Language Modeling, Embeddings, Data Processing, Data Import/Export, Vector Databases, Prompt Engineering, Document Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    670 reviews

    Beginner · Project · Less Than 2 Hours

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

  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Advanced Data Visualization with Tableau: Tableau Learning Partner
  • Process & Analyze Real-Time Data Fast: Coursera
  • Advanced Data Engineering: Duke University
  • Present Compelling Executive Reports with Data: Coursera
  • Importing Data into R: Coursera
  • Foundations of Data Visualization: Johns Hopkins University
  • IBM Data Topology: IBM
  • Machine Learning for Data Analysis: Wesleyan University
  • How to Describe Data: University of Michigan

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