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Data Collection for Data Scientists
Dhiraj Kumar
Dhiraj Kumar
Learn effective data collection techniques. This course will teach you
data collection techniques from a data scientist's perspective. It will
also teach you how to apply those data collection techniques
effectively.
Read more
Learn effective data collection techniques. This course will teach you data collection techniques from a data scientist's perspective. It will also teach you how to apply those data collection techniques effectively.
Read more
Learn effective data collection techniques. This course will teach you data collection techniques from a data scientist's perspective. It will also teach you how to apply those data collection techniques effectively.
Understanding various data collection techniques and how to apply them effectively is essential. In this course, Data Collection for Data Scientists, you’ll gain the ability to collect data effectively. First, you’ll explore optimal data collection methods. Next, you’ll discover how to integrate data from diverse sources. Finally, you’ll learn how to do data collection for predictive modeling. When you’re finished with this course, you’ll have the skills and knowledge of data collection techniques needed to execute various data science projects effectively
Register for this course and see more details by visiting:
OpenCourser.com/course/viuwa8/data
What's inside
Syllabus
Course Overview
Understand Data Collection Techniques
Apply Data Collection Techniques
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a beginner-friendly foundation for data collection techniques
Focuses on effective data collection tailored to data science
Covers key methods and approaches for collecting data from diverse sources
Suitable for individuals seeking to enhance their understanding of data collection for predictive modeling
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Save Data Collection for Data Scientists to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
Data Collection for Data Scientists.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Data Collection for Data Scientists will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is a highly-skilled professional who uses statistical and computational techniques to extract insights from data. They use these findings to help businesses make better decisions. The course Data Collection for Data Scientists provides a solid foundation in the techniques used by Data Scientists to collect and analyze data. This training will especially help you if you are interested in working with data to build predictive models.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses understand their customers and make better decisions. The course Data Collection for Data Scientists will help you develop the skills needed to succeed in this role, including data collection techniques, data integration, and data analysis.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models to help businesses automate tasks and make better decisions. The course Data Collection for Data Scientists will help you build a foundation in the data collection techniques used by Machine Learning Engineers. This course will be especially helpful if you are interested in working with data to build predictive models.
Statistician
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data to help businesses understand their customers and make better decisions. The course Data Collection for Data Scientists will help you develop the skills needed to succeed in this role, including data collection techniques, data integration, and data analysis.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines to help businesses collect, store, and process data. The course Data Collection for Data Scientists will help you develop the skills needed to succeed in this role, including data collection techniques, data integration, and data analysis.
Business Analyst
Business Analyst
A Business Analyst is responsible for understanding the business needs of an organization and developing solutions to meet those needs. The course Data Collection for Data Scientists may be useful for Business Analysts who want to learn more about data collection techniques.
Market Researcher
Market Researcher
A Market Researcher is responsible for collecting and analyzing data to help businesses understand their customers and make better decisions. The course Data Collection for Data Scientists may be useful for Market Researchers who want to learn more about data collection techniques.
Product Manager
Product Manager
A Product Manager is responsible for overseeing the development and launch of new products. The course Data Collection for Data Scientists may be useful for Product Managers who want to learn more about data collection techniques.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. The course Data Collection for Data Scientists may be useful for Project Managers who want to learn more about data collection techniques.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. The course Data Collection for Data Scientists may be useful for Software Engineers who want to learn more about data collection techniques.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. The course Data Collection for Data Scientists may be useful for Database Administrators who want to learn more about data collection techniques.
Data Architect
Data Architect
A Data Architect is responsible for designing and building data architectures. The course Data Collection for Data Scientists may be useful for Data Architects who want to learn more about data collection techniques.
Data Scientist Manager
Data Scientist Manager
A Data Scientist Manager is responsible for leading and managing a team of Data Scientists. The course Data Collection for Data Scientists may be useful for Data Scientist Managers who want to learn more about data collection techniques.
Chief Data Officer
Chief Data Officer
A Chief Data Officer is responsible for overseeing the data strategy of an organization. The course Data Collection for Data Scientists may be useful for Chief Data Officers who want to learn more about data collection techniques.
Data Science Consultant
Data Science Consultant
A Data Science Consultant is responsible for providing data science consulting services to organizations. The course Data Collection for Data Scientists may be useful for Data Science Consultants who want to learn more about data collection techniques.
For more career information including salaries, visit:
OpenCourser.com/course/viuwa8/data
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Collection for Data Scientists.
Provides a comprehensive overview of data collection techniques for data science, including data mining, web scraping, and social media data collection. It valuable resource for students and practitioners who want to learn more about data collection methods.
Provides a comprehensive introduction to machine learning for data science. It covers a wide range of topics, including data collection, feature engineering, model selection, and evaluation.
Save
Provides a comprehensive overview of data mining techniques. It covers a wide range of topics, including data collection, data preprocessing, feature selection, and model evaluation.
Provides a hands-on introduction to data science. It covers a wide range of topics, including data collection, data analysis, and machine learning.
Provides a comprehensive guide to data science with Python. It covers a wide range of topics, including data collection, data analysis, and machine learning.
Provides a simple guide to data analytics for beginners. It covers a wide range of topics, including data collection, data analysis, and data visualization.
Provides a guide to data collection and analysis for social science research. It covers a wide range of topics, including research design, data collection methods, and data analysis techniques.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/viuwa8/data
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Time
52 hours
Level
Intermediate
Via
Pluralsight
Instructor
Dhiraj Kumar
Language
English
Good to know
Provides a beginner-friendly foundation for data collection techniques
Focuses on effective data collection tailored to data science
Covers key methods and approaches for collecting data from diverse sources
Suitable for individuals seeking to enhance their understanding of data collection for predictive modeling
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