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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


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines

    Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, File I/O, Data Transformation, Jupyter, Performance Tuning, JSON, SQL

    4
    Rating, 4 out of 5 stars
    ·
    44 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Customer Data, Analytics, and Segmentation

    Skills you'll gain: Microsoft Copilot, Sales Strategy, Sales Pipelines, Sales Enablement, Data Cleansing, Sales Management, Sales, Customer Insights, Data Quality, Customer Data Management, Customer Engagement, AI Personalization, Advanced Analytics, Data Integrity, Personally Identifiable Information, Predictive Analytics, Data-Driven Decision-Making, Data Integration

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Mastering Kafka Consumer Systems for Telecom Data

    Skills you'll gain: Apache Kafka, Spring Boot, Data Pipelines, Java, Restful API, Performance Tuning, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Using Data for Healthcare Improvement

    Skills you'll gain: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Intro to Python: Setup and Data Processing

    Skills you'll gain: Data Structures, Data Processing, Application Development, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Python Programming, Virtual Machines, Software Development

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Data Representation and Serialization

    Skills you'll gain: Interoperability, Data Transformation, Secure Coding, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Foundations of mining non-structured medical data

    Skills you'll gain: Data Mining, Innovation, Image Analysis, Big Data, Medical Imaging, Unstructured Data, Health Informatics, Analytics, Medical Records, Text Mining, Natural Language Processing, Health Care, Health Information Management, Classification Algorithms

    3.6
    Rating, 3.6 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Exploratory vs Confirmatory data analysis using Python

    Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Pittsburgh

    Master of Data Science

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Data Visualization, Predictive Modeling, Database Design, Large Language Modeling, Database Management, Databases, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, NoSQL, Data Visualization Software, Linear Algebra, Data Governance, Regression Analysis, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Power BI: Data Visualization and Analysis

    Skills you'll gain: Business Intelligence, Data Presentation, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Business Analytics, Power BI, Pivot Tables And Charts, Dashboard, Key Performance Indicators (KPIs), Performance Reporting, Data Analysis, Scatter Plots, Business Reporting, Trend Analysis, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Serverless Data Processing with Dataflow: Develop Pipelines: Google Cloud
  • Customer Data, Analytics, and Segmentation: Microsoft
  • Mastering Kafka Consumer Systems for Telecom Data: EDUCBA
  • Using Data for Healthcare Improvement: Imperial College London
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Intro to Python: Setup and Data Processing: Logical Operations
  • Data Representation and Serialization: Packt
  • Foundations of mining non-structured medical data: 28DIGITAL
  • Mathematics for Machine Learning: Imperial College London
  • Exploratory vs Confirmatory data analysis using Python: Coursera

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