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'的 122 個結果

LearnQuest
Oracle SQL Databases
您將獲得的技能： Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Database Design, Database Theory, Databases, Digital Marketing, Entrepreneurship, Java Programming, Leadership and Management, Market Research, Marketing, Mathematics, Mobile Development, Research and Design, SQL, Statistical Programming, Theoretical Computer Science
4.6
（249 條評論）
Beginner · Specialization · 3+ Months
Alberta Machine Intelligence Institute
Machine Learning: Algorithms in the Real World
您將獲得的技能： Advertising, Algebra, Analysis, Business Analysis, Communication, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Mining, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Operations Management, Probability & Statistics, Python Programming, Reinforcement Learning, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
（978 條評論）
Intermediate · Specialization · 3+ Months
IBM
Data Analysis with Python
您將獲得的技能： Analysis, Exploratory Data Analysis, Data Analysis, Modeling, Statistical Programming, Econometrics, Probability & Statistics, Computer Programming, Data Mining, Mathematical Theory & Analysis, Statistical Analysis, General Statistics, Computer Programming Tools, Data Management, Regression, Python Programming, Spreadsheet Software, Machine Learning, Business Analysis, Algebra, Statistical Machine Learning, Correlation And Dependence
4.7
（15k 條評論）
Beginner · Course · 1-3 Months
University of California, Irvine
Data Science Fundamentals
您將獲得的技能： Accounting, Algebra, Algorithms, Analysis, Big Data, Business Analysis, Cloud Computing, Communication, Data Analysis, Data Management, Data Mining, Data Structures, Exploratory Data Analysis, General Statistics, Human Resources, Machine Learning, Marketing, Natural Language Processing, Probability & Statistics, Randomness, Regression, Regression Analysis, Statistical Analysis, Supervision, Supply Chain Systems, Supply Chain and Logistics, Theoretical Computer Science
4.1
（113 條評論）
Beginner · Specialization · 3+ Months

與 data manipulation 相關的搜索

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data manipulation at scale: systems and algorithms

performing data definition and manipulation in sql

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總之，這是我們最受歡迎的 data manipulation 門課程中的 10 門

Getting Started with Tidyverse: Coursera Project Network
Handling Missing Values in R using tidyr: Coursera Project Network
معالجة البيانات وتحليل الأعمال باستخدام برنامج جدول البيانات: Coursera Project Network
Oracle SQL Databases: LearnQuest
Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
Oracle SQL Proficiency: LearnQuest
Build Data Analysis tools using R and DPLYR: Coursera Project Network
Code Free Data Science: University of California San Diego
Data for Machine Learning: Alberta Machine Intelligence Institute
Data Analysis with Python: IBM

關於 Data Manipulation 的常見問題

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.‎