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    • Data Manipulation

    Data Manipulation Courses Online

    Master data manipulation techniques for transforming data. Learn to clean, merge, and reshape datasets using tools like SQL and Python.

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    Explore the Data Manipulation Course Catalog

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Performance Analysis, Big Data, Real Time Data, Data Science, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Google Business Intelligence

      Skills you'll gain: Business Intelligence, Data Modeling, Dashboard, Database Design, Extract, Transform, Load, Data Integration, Stakeholder Engagement, Data Warehousing, Data Presentation, Performance Tuning, Data Pipelines, Data Visualization Software, Business Reporting, Data Integrity, Business Analytics, Real Time Data, Requirements Elicitation, Scalability, Business Process, Data-Driven Decision-Making

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Presentation, Data Analysis, Web Scraping, Data Storytelling, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Harnessing the Power of Data with Power BI

      Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Data Collection, Business Intelligence, Analytical Skills, Data Transformation, Data Visualization Software, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Computational Thinking, Network Analysis, Mathematical Theory & Analysis, Analysis, Network Routing, Probability, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      890 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      V

      Vanderbilt University

      Data Management for Clinical Research

      Skills you'll gain: Clinical Data Management, Data Capture, Clinical Research, Data Management, Data Collection, Data Sharing, Data Strategy, Data Quality, Data Integrity, Data Validation, Regulatory Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Data Analysis and Visualization with Power BI

      Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Web Content Accessibility Guidelines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      763 reviews

      Beginner · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Data Analysis Using SQL

      Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Data Transformation, Data Integrity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    Data Manipulation learners also search

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

    • IBM AI Engineering: IBM
    • Exploratory Data Analysis: Johns Hopkins University
    • Process Mining: Data science in Action: Eindhoven University of Technology
    • Google Business Intelligence: Google
    • IBM Data Analyst Capstone Project: IBM
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Harnessing the Power of Data with Power BI: Microsoft
    • Algorithms: Stanford University
    • Getting Started with Data Analytics on AWS: Amazon Web Services
    • Data Management for Clinical Research: Vanderbilt University

    Frequently Asked Questions about Data Manipulation

    Data manipulation is the part of data science that organizes or changes data into formatting that's easier to read and use for analytical purposes. It may involve advanced techniques and tools, such as relational algebra or SQL to manage the data. It may also require less advanced skills, such as alphabetization or spreadsheets to compile the data for the end user. This type of data analysis makes it possible for a data scientist to pull pertinent information for decision-making purposes out of a large, otherwise disorganized mass of data.‎

    If you have a passion for using computers and solving complex problems and puzzles, learning data manipulation may lead to a variety of opportunities as a data scientist. These opportunities include becoming a data analyst, a data engineer, or a machine learning engineer. Tasks you might encounter during a typical workday in these fields include cluster analysis and creating a pivot table or a lookup table. If you want a very hands-on career that puts you in control of finding the most essential items in a company's data, learning data manipulation will help you get started in the field.‎

    Taking online data manipulation courses on Coursera can help you advance in your data science career by improving the skills and tools you have at your disposal, making the information you're able to provide for your employer more accurate and valuable. If you aren't already working in the data science field, taking online courses in data manipulation can serve as a place to begin your industry-specific data analysis education. Courses are available to match your current knowledge base, so whether you're a beginner learning about data manipulation and data science for the first time, or you're approaching courses from an intermediate or advanced level, you can jump in and start learning at your convenience.‎

    You need to have strong math skills and at least some computer skills to begin learning data manipulation. Solid reading and critical thinking skills will also help you when you delve into these courses. The data manipulation courses are set up for beginners in the data science field, providing knowledge that's needed to build on as you advance in the data analysis field. Some specific skills you can expect to develop while learning about data manipulation at your own include data visualization, SQL, and Python.‎

    Online Data Manipulation courses offer a convenient and flexible way to enhance your knowledge or learn new Data Manipulation skills. Choose from a wide range of Data Manipulation courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Manipulation, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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