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    Results for "data manipulation"

    • P

      Packt

      Intermediate Data Manipulation and Machine Learning

      Skills you'll gain: Machine Learning, Python Programming

      Intermediate · Course · 3 - 6 Months

    • I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Structures, Data Import/Export, Exploratory Data Analysis, Computer Programming, Integrated Development Environments, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      543 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Edureka

      Applied Data Analytics with Python and SQL

      Skills you'll gain: Data Analysis, Data Visualization

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Data Transformation in the Cloud

      Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Extract, Transform, Load, Data Visualization Software, Data Integration, Data Processing, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Quality, Data Storage Technologies, SQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Predictive Analytics, Data Science, Data Analysis, Data Transformation, Data Visualization Software, Deep Learning, Software Development Tools, Data Manipulation, Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Computer Programming, Data Analysis, Data Management, Databases, Exploratory Data Analysis, Extract, Transform, Load, R Programming, Statistical Programming, Data Structures

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Analytics, Histogram, Data Transformation, Business Analytics, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      75 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Data Processing, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      737 reviews

      Advanced · Course · 1 - 3 Months

    • Placeholder
      E

      Edureka

      Learn SQL with Databricks

      Skills you'll gain: Databricks, SQL, Database Management, Data Manipulation, Stored Procedure, Query Languages, Data Security, Data Sharing, Big Data, Data Management, Performance Tuning, Data Science

      3.7
      Rating, 3.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to data manipulation

    data manipulation in javascript
    data manipulation in rpa
    data manipulation with dplyr in r
    data manipulation at scale: systems and algorithms
    data manipulation and management using mysql workbench
    intermediate data manipulation and machine learning
    foundations of r programming and basic data manipulation
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    1…456…492

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

    • Intermediate Data Manipulation and Machine Learning: Packt
    • Introduction to R Programming for Data Science: IBM
    • Applied Data Analytics with Python and SQL: Edureka
    • Data Transformation in the Cloud: Google Cloud
    • Generative AI for Data Scientists: IBM
    • Getting and Cleaning Data: Johns Hopkins University
    • Data Science: Foundations using R: Johns Hopkins University
    • Data Analysis with Tableau: Tableau Learning Partner
    • Databases and SQL for Data Science with Python: IBM
    • Data Science: Johns Hopkins 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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