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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

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Smart Contracts

      Skills you'll gain: Blockchain, Program Development, Software Development, Development Environment, Web Development Tools, Software Design, Solution Design, Business Logic, Event-Driven Programming, Application Deployment, Development Testing, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Bioinformatic Methods I

      Skills you'll gain: Bioinformatics, Molecular Biology, Biology, Data Analysis Software, Data Mining, Life Sciences, Analysis, Statistical Analysis, Databases

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sampling (Statistics), Probability & Statistics, Regression Analysis, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution, R Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      600 reviews

      Mixed · Course · 1 - 3 Months

    • T

      Technion - Israel Institute of Technology

      Nanotechnology and Nanosensors, Part1

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Semiconductors, Innovation, Chemical and Biomedical Engineering, Emerging Technologies, Chemistry, Electronics, Medical Equipment and Technology, Laboratory Research, Chemical Engineering, Creative Design, Biochemistry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Sensors and Sensor Circuit Design

      Skills you'll gain: Embedded Systems, Electronic Systems, Embedded Software, Electronics, Hardware Design, Electronic Components, Thermal Management, Electrical Wiring, Schematic Diagrams, Development Environment, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Querying Databases Using SQL SELECT statement

      Skills you'll gain: SQL, Query Languages, Database Management, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      171 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Maryland, College Park

      Cryptography

      Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Network Security, Digital Communications, Authentications, Data Integrity, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      524 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Smart Contracts: University at Buffalo
    • Bioinformatic Methods I: University of Toronto
    • Inferential Statistics: University of Amsterdam
    • Nanotechnology and Nanosensors, Part1: Technion - Israel Institute of Technology
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
    • Sensors and Sensor Circuit Design: University of Colorado Boulder
    • Querying Databases Using SQL SELECT statement: Coursera Project Network
    • Cryptography: University of Maryland, College Park

    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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