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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


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    Microsoft

    Visualization for Data Analysis with Power BI

    Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Generative AI for Data Science with Copilot

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Responsible AI, Data Ethics, Autoencoders, Data Security, Information Privacy, Anomaly Detection, Model Evaluation, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Davis

    GIS Data Formats, Design and Quality

    Skills you'll gain: Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Vector Databases, Data Management, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages, Analytics

    4.8
    Rating, 4.8 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Data Warehousing and Integration Part 1

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Star Schema, Data Governance, Database Design, Snowflake Schema, SQL, Relational Databases, Data Mining, Data Quality, Data Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    714 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud auf Deutsch

    Skills you'll gain: Model Deployment, Google Cloud Platform, Dataflow, Data Pipelines, Data Warehousing, Data Lakes, Real Time Data, Dashboard, Cloud Engineering, Tensorflow, Data Infrastructure, Data Preprocessing, Data Processing, Apache Spark, Big Data, Extract, Transform, Load, Data Migration, Data Storage Technologies, Cloud Storage, PySpark

    Intermediate · Specialization · 3 - 6 Months

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    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Machine Learning Algorithms, Computational Thinking, Data Preprocessing, Data Cleansing, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of London

    C++ Programming: Classes and Data

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), C and C++, File I/O, Programming Principles, Data Structures

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    63 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python for Absolute Beginners: Data Structures

    Skills you'll gain: Data Structures, Data-oriented programming, Data Manipulation, Data Access, Data Processing, Python Programming

    Beginner · Course · 1 - 3 Months

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1…747576…763

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

  • Visualization for Data Analysis with Power BI: Microsoft
  • Generative AI for Data Science with Copilot: Microsoft
  • GIS Data Formats, Design and Quality: University of California, Davis
  • Data Warehousing and Integration Part 1: Northeastern University
  • Fitting Statistical Models to Data with Python: University of Michigan
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
  • Foundations for Data Analytics Part 1: Northeastern University
  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • C++ Programming: Classes and Data: University of London

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