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.

What are the benefits of taking an online Data Manipulation course?

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.

What Data Manipulation courses are best for training and upskilling employees or the workforce?

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 .

Top Data Manipulation Courses - Learn Data Manipulation Online

Macquarie University
Excel Skills for Data Analytics and Visualization
Skills you'll gain: Business Analysis, Spreadsheet Software, Data Analysis, Data Visualization, Microsoft Excel, Data Analysis Software, Data Management, Exploratory Data Analysis, Statistical Visualization, Data Model, Data Structures, Data Visualization Software, Database Design, Interactive Data Visualization, Visual Design, Big Data, Power BI, Leadership and Management
Intermediate · Specialization · 3 - 6 Months
Microsoft
Microsoft Azure Data Engineering Associate (DP-203)
Skills you'll gain: Data Management, Microsoft Azure, Extract, Transform, Load, Cloud Computing, Big Data, Data Warehousing, Cloud-Based Integration, Cloud Storage, Data Architecture, Cloud Engineering, Cloud Platforms, Databases, SQL, Data Analysis, Cloud Applications, Data Structures, Distributed Computing Architecture, Cloud Management, Warehouse Management, Leadership and Management, Continuous Delivery, NoSQL, Continuous Integration, Operational Analysis, Data Visualization, Python Programming
Intermediate · Professional Certificate · 3 - 6 Months
Microsoft
Microsoft Azure Data Fundamentals DP-900 Exam Prep
Skills you'll gain: Data Management, Databases, Microsoft Azure, Cloud Computing, SQL, Big Data, Data Analysis, Database Application, Data Architecture, Data Warehousing, Cloud Storage, Data Structures, Data Visualization, Extract, Transform, Load, Leadership and Management, NoSQL, Data Analysis Software, Data Visualization Software, Database Administration, Cloud Infrastructure, Cloud Management, Database Theory, PostgreSQL
Beginner · Specialization · 3 - 6 Months