Analytics using Pandas and Numpy – Qualitative and Quantitative Studies
Learn to transform data into powerful dataframes specifically designed for recommendation and predictive applications.
₹25000
Description
This course facilitates major part of a data science project activity. In reality data scientists spend much of their time transforming, shaping-reshaping data to serve to several machine learning models. The activity to clean, transform and process the data will be the prime focus of this program. This program will also demonstrate simple to complex data visualizations using Pandas visualization library, seaborn library and matplotLib.
Numpy will be used to convert series data into N-dimensional arrays to feed into predictive models. Random numbers, math operations and statistics using Numpy will also be featured.
TECHNOLOGY USED: Python General Purpose, Anaconda Jupyter Notebooks, Pandas, Numpy
What Will I Learn?
- Get familiar with data manipulation and numerical operations on multidimensional arrays
- Learn to create data structures for Machine Learning
- How to render visuals charts and their interpretations
- Handle complex data formats
- Build data reasoning
Topics for this course
40 Lessons20h
Introduction to Pandas
Installing and using Pandas
What are objects in Pandas
Objects example in Pandas i.e. Series Object, DataFrame & Index object
Data selections in Pandas
Data Group by and Aggregations
Handling Time Period data in Pandas
How to leverage Pandas for a Machine Learning Project?
Exploring Matplotlib
Exploring Seaborn
Numpy in Python
End of project
About the instructors
23 Courses
83 students
