This course on the Pandas Library aims to teach learners about the functionalities and capabilities of the library in Python. By the end of the course, students will be able to read and manipulate data using Pandas, handle null values, apply statistical functions, and work with different data structures efficiently. The course employs a tutorial-based approach, covering topics such as data reading, data manipulation, statistical analysis, and function applications. This course is suitable for individuals interested in data analysis, data science, or Python programming.
Overview
Syllabus
Pandas Tutorial Part:01 | What is Pandas | how to install pandas | pandas installation in windows.
Pandas Tutorial Part:02 | Read data using pandas | how to read csv data | read csv data using pandas.
Pandas Tutorial Part:03 | Describe function | Shape function | Checking null values using pandas.
Pandas Tutorial Part:04 | Filling null values | ffill function | Fillna function | Null values.
Pandas Tutorial Part:05 | Filling null values | replace function | Null values in pandas.
Pandas Tutorial Part:06 | Filling null values | Interpolate function | Null values in pandas.
Pandas Tutorial Part:07 | Making dataframe using numpy pandas | query function | python pandas.
Pandas Tutorial Part:08 | Insert function | cumsum function | sample function | python pandas.
Pandas Tutorial Part:09 | isin function | loc and iloc function |rank function | python pandas.
Pandas Tutorial Part:10 | row and column wise function application| mean function | python pandas.
Pandas Tutorial Part:11 | covariance function | statistical function using pandas | python pandas.
Pandas Tutorial Part:12 | correlation function | statistical function using pandas | python pandas.
Pandas Tutorial Part:13 | .rolling() function | statistical function using pandas | python pandas.
Pandas Tutorial Part:14 | .expanding() function | statistical function using pandas | python pandas.
Pandas Tutorial Part:15 | .melt() function | statistical function using pandas | python pandas.
Pandas Tutorial Part:16 pivot() function | statistical function using pandas | python pandas.
Pandas Tutorial Part:17 nunique() function | statistical function using pandas | python pandas.
Pandas Tutorial Part:18 memory usage() function | statistical function using pandas | python pandas.
Pandas Tutorial Part:19 select datatypes function and replace | pandas | python pandas.
Pandas Tutorial Part:20 nsmallest and nlargest functions | pandas | python pandas.
Taught by
FUN WITH DATA SCIENCE
