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    Results for "data manipulation"

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Ingestion, Exploration & Visualization in Qlik Sense

      Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Import/Export, Exploratory Data Analysis, Data Analysis, Key Performance Indicators (KPIs)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: ChatGPT, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Modeling, Data Synthesis, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Software Development Tools, Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Management, Data Integration, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Apache Spark, Cloud Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Tidy Messy Data using tidyr in R

      Skills you'll gain: Data Analysis, Data Management, Data Visualization, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      D

      Duke University

      Managing Big Data with MySQL

      Skills you'll gain: Database Design, MySQL, Relational Databases, SQL, Data Modeling, Databases, Business Analytics, Big Data, Business Analysis, Data Analysis, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Applied Data Science with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Database Management, Data Manipulation, R Programming, Web Scraping

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Applied Plotting, Charting & Data Representation in Python

      Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to data manipulation

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    1…111213…492

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

    • Data Ingestion, Exploration & Visualization in Qlik Sense: Coursera Instructor Network
    • AI For Everyone: DeepLearning.AI
    • Generative AI for Data Engineers: IBM
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Tidy Messy Data using tidyr in R: Coursera Project Network
    • Managing Big Data with MySQL: Duke University
    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • Data Visualization with Python: IBM
    • Exploratory Data Analysis for Machine Learning: IBM

    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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