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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.


More to explore:

Popular Data Manipulation Courses and Certifications


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    Genentech

    Data Sciences in Pharma - Patient Centered Outcomes Research

    Skills you'll gain: Clinical Trials, Clinical Research, Drug Development, Patient Evaluation, Pharmaceutical Terminology, Clinical Assessment, Quantitative Research, Data Literacy, Patient-centered Care, Statistical Methods, Data Science, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Pennsylvania

    Data Viz Using Tableau & Presenting With Storytelling

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Tableau Software, Presentations, Interactive Data Visualization, Verbal Communication Skills, Data Analysis, Pivot Tables And Charts, Scatter Plots, Stakeholder Communications, Spatial Analysis, Trend Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Free Trial
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    EDUCBA

    NumPy & Pandas: Analyze & Manage Retail Data

    Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Free Trial
    S

    Starweaver

    GenAI Data and Analytics Academy

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Retrieval-Augmented Generation, CrewAI, AI Orchestration, Vector Databases, Model Deployment, AI Personalization, Generative AI, Transfer Learning, Kubernetes, Enterprise Application Management, ChatGPT, AI Workflows, Containerization, Agentic systems, MLOps (Machine Learning Operations), Python Programming, System Monitoring, Engineering

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    L

    LearnKartS

    Data Engineering Foundations on AWS

    Skills you'll gain: Amazon S3, Amazon Web Services, SQL, Extract, Transform, Load, Data Quality, Data Pipelines, Version Control, Data Modeling, Cloud Storage, Git (Version Control System), Data Management, Data Storage Technologies, Cloud Security, Data Security, Big Data, Encryption

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate your Data Engineering Career

    Skills you'll gain: Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Prompt Engineering, Data Ethics, Data Infrastructure, Data Architecture, AI Enablement, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Convolutional Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Microsoft

    Advanced Data Applications and Integration

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    64 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate and Reproduce Data Findings Fast

    Skills you'll gain: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Dimensionality Reduction

    Beginner · Course · 1 - 3 Months

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

  • Data Sciences in Pharma - Patient Centered Outcomes Research: Genentech
  • Data Viz Using Tableau & Presenting With Storytelling: University of Pennsylvania
  • NumPy & Pandas: Analyze & Manage Retail Data: EDUCBA
  • GenAI Data and Analytics Academy: Starweaver
  • Data Engineering Foundations on AWS: LearnKartS
  • Generative AI: Elevate your Data Engineering Career : IBM
  • Advanced Data Applications and Integration: Microsoft
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University

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