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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


  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Statistics for Data Science Essentials

    Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    MySQL-for-Data-Engineering

    Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation, Python Programming, Linux

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Analysis Using Hadoop Tools

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Apache Spark, NoSQL, Data Management, Data Processing, Databases, SQL, Query Languages, Data Manipulation, Scripting Languages, Data Transformation, Distributed Computing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Design Thinking for Data Professionals

    Skills you'll gain: A/B Testing, Design Thinking, Experience Design, Data Storytelling, Dashboard, User Feedback, Solution Design, Stakeholder Engagement, Customer Insights, Interviewing Skills, Empathy & Emotional Intelligence, Business Requirements, Problem Solving

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Cloudera

    Foundations for Big Data Analysis with SQL

    Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Redacting Sensitive Data with Cloud Data Loss Prevention

    Skills you'll gain: Cloud Security, Data Loss Prevention, Data Security, Personally Identifiable Information, Information Privacy, Cloud Computing, Google Cloud Platform, Cloud Services

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization in R with ggplot2

    Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    132 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Structures in C

    Skills you'll gain: C (Programming Language), Data Structures, Application Security, System Programming, Programming Principles, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Analytics Engineering: Probability & Techniques

    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Data Visualization Software, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Data Warehousing

    Skills you'll gain: Data Warehousing, Data Architecture, Data Storage, Extract, Transform, Load, Database Architecture and Administration, Data Integration, Star Schema, Cloud Storage, Data Mart, Database Design, Snowflake Schema, Query Languages, Metadata Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Statistics for Data Science Essentials: University of Pennsylvania
  • MySQL-for-Data-Engineering: Duke University
  • Data Analysis Using Hadoop Tools: Johns Hopkins University
  • Design Thinking for Data Professionals: Fractal Analytics
  • Foundations for Big Data Analysis with SQL: Cloudera
  • Redacting Sensitive Data with Cloud Data Loss Prevention: Google Cloud
  • Data Visualization in R with ggplot2: Johns Hopkins University
  • Data Science Fundamentals, Part 1: Pearson
  • Data Structures in C: University of Michigan
  • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México

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