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Pandas Functions
Dhiraj Kumar
Dhiraj Kumar
Learn to handle complex data frames and analyze your data with pandas functions. This course will teach you advanced parts of this library.
Read more
Learn to handle complex data frames and analyze your data with pandas functions. This course will teach you advanced parts of this library.
Read more
Learn to handle complex data frames and analyze your data with pandas functions. This course will teach you advanced parts of this library.
Analyze your data with important and useful pndas functions. This course will teach you advanced pandas functions for handling complex data.
In this course, Pandas Functions, you can analyze your data with pandas.
First, you’ll explore merging, joining, and concatenating data.
Next, you’ll discover binning using pandas.
Finally, you’ll learn how to use Pivot function, Crosstab function, and Melt function.
When you're finished with this course, you’ll have the skills and knowledge of pandas functions needed to analyze your data using pandas.
Register for this course and see more details by visiting:
OpenCourser.com/course/s4a7tw/pandas
What's inside
Syllabus
Course Overview
Merge, Join, and Concatenate Data
Binning Using Pandas
Pivot, Melt, and Crosstab in Pandas
Read more
Syllabus
Course Overview
Merge, Join, and Concatenate Data
Binning Using Pandas
Pivot, Melt, and Crosstab in Pandas
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops advanced data analysis skills using pandas functions, strengthening an existing foundation for intermediate learners
Provides a deep dive into complex data handling with pandas, building professional skills in data manipulation and analysis
Taught by Dhiraj Kumar, who is recognized for their expertise in data analysis and pandas
Examines advanced pandas functions, which are highly relevant to data science and analysis
Covers merging, joining, and concatenating data, which are core skills for data integration
Teaches binning using pandas, which is useful for data discretization and visualization
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Activities
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We're preparing activities for
Pandas Functions.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Pandas Functions will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts utilize the Pandas library heavily for complex data analysis and wrangling. In this Pandas Functions course, you will be introduced to merging, joining, and concatenating data, using binning functions, and leveraging the power of Pivot, Crosstab and Melt functions. Completing this course will give you a competitive advantage over other Data Analysts who are not familiar with the power of Pandas functions.
Data Scientist
Data Scientist
Data Scientists are increasingly using the Pandas library for advanced and complex data analysis. As the Pandas library is now an industry standard tool, Data Scientists who are more well-versed in Pandas have a competitive advantage in today's job market. With the Pandas Functions course, you can explore Pandas functions for handling complex data, including merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. This course will provide you a solid foundation to using Pandas functions as a Data Scientist.
Business Analyst
Business Analyst
Business Analysts often use the Pandas library for advanced data analysis and manipulation. This Pandas Functions course introduces advanced Pandas functions, including merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. It can take your data analysis skills to the next level, which will help you stand out in the job market.
Statistician
Statistician
Statisticians are increasingly utilizing the Pandas library for complex data analysis and wrangling. The Pandas Functions course introduces advanced Pandas functions, including merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. Mastering these functions will give you a significant advantage in the competitive field of Statistics.
Data Engineer
Data Engineer
Data Engineers who are proficient in the Pandas library are in high demand. In this Pandas Functions course, you will be introduced to merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. Completing this course can provide you with the skills you need to succeed as a Data Engineer.
Research Scientist
Research Scientist
Research Scientists who are proficient in the Pandas library have a competitive advantage in today's job market. In this Pandas Functions course, you will be introduced to merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. Completing this course can help you excel in your role as a Research Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers who are proficient in the Pandas library have a competitive advantage. This Pandas Functions course offers advanced training in merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. Completing this course can help you excel as a Machine Learning Engineer.
Software Engineer
Software Engineer
Software Engineers who are proficient in the Pandas library are highly sought after. This Pandas Functions course will introduce you to merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. It can take your coding skills to the next level, which will help you stand out in the job market.
Data Architect
Data Architect
Data Architects who are proficient in the Pandas library are highly valued. The Pandas Functions course can teach you advanced functions for merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. These skills can help you design and implement data solutions that meet the needs of your organization.
Database Administrator
Database Administrator
Database Administrators who are proficient in the Pandas library can streamline data analysis and manipulation. This Pandas Functions course offers advanced training in merging, joining, and concatenating data, using binning functions, and leveraging Pivot, Crosstab and Melt functions. This course may be useful for Database Administrators who want to advance their careers.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts who are proficient in the Pandas library are highly sought after. The Pandas Functions course may be useful for Quantitative Analysts who want to advance their careers.
Investment Analyst
Investment Analyst
Investment Analysts who are proficient in the Pandas library may find it useful to take this Pandas Functions course to advance their careers.
Financial Analyst
Financial Analyst
Financial Analysts who are proficient in the Pandas library may find it useful to take this Pandas Functions course to gain additional skills and advance their careers.
Risk Analyst
Risk Analyst
Risk Analysts who are proficient in the Pandas library may find it useful to take this Pandas Functions course to gain additional skills and advance their careers.
Auditor
Auditor
Auditors who are proficient in the Pandas library may find it useful to take this Pandas Functions course to gain additional skills and advance their careers.
For more career information including salaries, visit:
OpenCourser.com/course/s4a7tw/pandas
Reading list
We've selected 12 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
Pandas Functions.
Provides a comprehensive overview of the Python data analysis library, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to data science with Python, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Save
Covers a wide range of data analysis topics using Python and pandas, including data wrangling, exploration, visualization, and machine learning, not covered in this course.
Provides a comprehensive guide to data analysis with Python and pandas, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to data manipulation with pandas, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to machine learning with Python, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to deep learning with Python, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Save
Provides a comprehensive tutorial on using pandas, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to natural language processing with Python, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to computer vision with Python, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Provides a comprehensive guide to probabilistic programming and Bayesian methods for hackers, including merging, joining, and concatenating data, binning using pandas, and using Pivot, Melt, and Crosstab functions.
Save
Provides a collection of recipes for solving common problems in data analysis with pandas, which would be helpful for students who want to learn more about pandas.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/s4a7tw/pandas
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Time
39 hours
Level
Introductory
Via
Pluralsight
Instructor
Dhiraj Kumar
Language
English
Good to know
Develops advanced data analysis skills using pandas functions, strengthening an existing foundation for intermediate learners
Provides a deep dive into complex data handling with pandas, building professional skills in data manipulation and analysis
Taught by Dhiraj Kumar, who is recognized for their expertise in data analysis and pandas
Examines advanced pandas functions, which are highly relevant to data science and analysis
Covers merging, joining, and concatenating data, which are core skills for data integration
Teaches binning using pandas, which is useful for data discretization and visualization
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