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

提前註冊
Johns Hopkins University
Introduction to Neurohacking In R
您將獲得的技能： Statistical Programming, Cloud Computing, Bioinformatics, R Programming, Data Analysis, Advertising Sales, Computer Graphic Techniques, Cloud Storage, Entrepreneurship, Data Mining, Adaptability, Theoretical Computer Science, Artificial Neural Networks, Mathematics, Operating Systems, Statistical Visualization, Data Visualization, Computer Graphics, Accounting, Probability & Statistics, Business Psychology, Computer Programming, Human Resources, Communication, Systems Design, Marketing, Account Management, Accounting Software, Image Processing, Computer Vision, Sales, Amazon Web Services, Algebra, Computer Programming Tools, Machine Learning
4.6
（268 條評論）
Intermediate · Course · 1-4 Weeks
University of Michigan
Master of Applied Data Science
您將獲得的技能： Operating Systems, Data Visualization, User Experience, Python Programming, Security Engineering, Graph Theory, Network Analysis, Applied Machine Learning, Storytelling, Research and Design, Data Management, Database Design, Software Security, Probability & Statistics, Big Data, Natural Language Processing, Deep Learning, General Statistics, Software Engineering, Theoretical Computer Science, Web Development, Computer Graphics, Data Analysis, Correlation And Dependence, Statistical Programming, Mathematics, Apache, Communication, Computer Programming, Data Mining, Experiment, Machine Learning, PostgreSQL, Machine Learning Algorithms, Software Architecture
獲得學位
Degree
University of Michigan
Applied Text Mining in Python
您將獲得的技能： Data Analysis, Mathematics, General Statistics, Natural Language, Theoretical Computer Science, Data Mining, Mathematical Theory & Analysis, Probability & Statistics, Computer Programming, Statistical Machine Learning, Programming Principles, Language, Machine Learning, Computational Logic, Machine Learning Software, Natural Language Processing
4.2
（3.6k 條評論）
Intermediate · Course · 1-4 Weeks
University of California, Davis
Search Engine Optimization (SEO)
您將獲得的技能： Algorithms, Application Development, Back-End Web Development, Communication, Content Marketing, Data Management, Data Model, Data Structures, Digital Marketing, Entrepreneurship, Forecasting, Influencing, Market Research, Marketing, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Project Management, Research and Design, Search Engine Optimization, Social Media, Software Architecture, Software Engineering, Software Testing, Strategy and Operations, Theoretical Computer Science, Web Development
4.6
（10.6k 條評論）
Beginner · Specialization · 3+ Months
University of California, Davis
Google SEO Fundamentals
您將獲得的技能： Data Structures, Mathematics, Theoretical Computer Science, Search Engine Optimization, Software Architecture, Data Management, Mathematical Optimization, Software Engineering, Mathematical Theory & Analysis, Back-End Web Development, Digital Marketing, Marketing, Communication, Web Development, Social Media, Data Model
4.8
（2.8k 條評論）
Mixed · Course · 1-4 Weeks

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

manipulating data with 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

Introduction to R Programming for Data Science: IBM
Database Structures and Management with MySQL: Meta
Meta Database Engineer: Meta
Methods and Statistics in Social Science - Final Research Project: University of Amsterdam
Introduction to Neurohacking In R: Johns Hopkins University
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
Master of Science in Machine Learning and Data Science: Imperial College London
Master of Applied Data Science: University of Michigan
Applied Text Mining in Python: University of Michigan
Search Engine Optimization (SEO): University of California, Davis

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.‎