What is 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.

What opportunities will learning data manipulation make available to me?

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.

How can online courses on Coursera help me learn data manipulation?

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.

What skills or experience do I need to already have, before starting to learn data manipulation?

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.

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Data Manipulation

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「data manipulation」の138件の結果

University of California, Irvine
Use Tableau for Your Data Science Workflow
習得できるスキル： Business Analysis, Communication, Data Analysis, Data Analysis Software, Data Visualization, Exploratory Data Analysis, Human Computer Interaction, Interactive Data Visualization, Plot (Graphics), Probability & Statistics, Storytelling, User Experience
4.3
（10件のレビュー）
Beginner · Specialization · 1-3 Months
無料
University of California San Diego
Design Thinking and Predictive Analytics for Data Products
習得できるスキル： Leadership and Management, Probability & Statistics, Feature Engineering, Data Analysis, Entrepreneurship, Predictive Modelling, Statistical Programming, Computer Programming, Problem Solving, Predictive Analytics, Regression, Analysis, Accounting, Machine Learning, General Statistics, Design Thinking, Research and Design
4.5
（61件のレビュー）
Intermediate · Course · 1-3 Months

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manipulating data with sql

data visualization e manipolazione dei dati con tableau

要約して、data manipulation の人気コース10選をご紹介します。

Use Tableau for Your Data Science Workflow: University of California, Irvine
Geographical Information Systems - Part 1: École Polytechnique Fédérale de Lausanne
Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
Create Interactive Dashboards with Streamlit and Python: Coursera Project Network
Manipulate R data frames using SQL in RStudio: Coursera Project Network
App Design and Development for iOS: University of Toronto
Data Visualization using dplyr and ggplot2 in R: Coursera Project Network
Hospital management database using SQL server: Coursera Project Network
Basic Data Processing and Visualization: University of California San Diego
Design Thinking and Predictive Analytics for Data Products: University of California San Diego

Data Manipulationに関するよくある質問

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.‎