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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


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fundamentals of Data Analytics in the Public Sector with R

    Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Predictive Modeling, Probability & Statistics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genomic Data Science and Clustering (Bioinformatics V)

    Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Molecular Biology, Classification Algorithms, Data Preprocessing, Machine Learning, Data Analysis Software, Life Sciences, Anthropology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Database to AI: Practical Data Analytics Integration

    Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Data Management, Apache Hadoop, Apache Spark, Conceptual Design

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Differentiation Rules

    Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Algebra, Derivatives, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    116 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Capstone: Create Value from Open Data

    Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations

    4.2
    Rating, 4.2 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Coding Data Models with AI

    Skills you'll gain: Model View Controller, Integrated Development Environments, Data Modeling, Database Design, Software Development Tools, NoSQL, Database Architecture and Administration, Application Programming Interface (API), OpenAI, ChatGPT, Version Control, Infrastructure Architecture, Artificial Intelligence, API Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Azure Data Engineering: Cosmos DB, SQL & Analytics

    Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Data Processing, Cloud Solutions, Analytics, Cloud Computing Architecture, Process Optimization, Data Pipelines, Real Time Data, Data Modeling, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Spatial Data Analysis, Forecasting, Data Visualization, Geographic Information Systems, Data Mapping, Time Series Analysis and Forecasting, Exploratory Data Analysis, Data Analysis, Data Manipulation, Statistical Programming, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Oracle SQL 21c Mastery: Apply, Analyze & Manage Data

    Skills you'll gain: Databases, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

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

  • Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
  • Database to AI: Practical Data Analytics Integration: Northeastern University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
  • Capstone: Create Value from Open Data: ESSEC Business School
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Coding Data Models with AI: University of Virginia
  • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera

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