Master Data Analysis with Pandas
Learn most powerful data analysis toolkit quickly and easily | All Codes, Jupyter notebooks and datasets are included
Description
Data analysis is a crucial thing in business to organize, interpret, structure and present the data to extract meaningful insights in order to take significant business decisions. With proper data analysis, organization could be able to
Predict customer behaviors
Market trend
Cut operational costs and resolve existing challenges
Build a better business plan, innovative sales and marketing strategies for the upcoming year and much more.
As per well renowned report, Data Analyst is forecast to be one of the most in-demand jobs by 2022. Even machine learning engineer and data scientist too needs data analysis skill. Because Data is new oil and it need to be processed.
With data analysis tools one can easily do data cleansing, data manipulation, data normalization, data inspection, statistical analysis, data fill and much more.
Pandas is one of the powerful library to do data analysis. In this learning course you'll learn how to perform below mentioned tasks with Pandas in quick and easy way.
Importing data from multiple sources and transforming into Dataframe
Performing data extraction
Doing statistical analysis
Exporting dataframe into different file formats.
Creating filters
Doing Data inspection, data sorting, data visualization and much more.
Data analysis is an applied science, it requires lots of hands-on. In this course you'll get lots of lot pragmatic hands-on in pythonic style.
See you in class!!
What You Will Learn!
- Learn fundamental concepts of data analysis
- Learn to create dataframes and series
- Learn importing data from multiple sources and transforming into Dataframe
- Learn to perform data extraction
- Learn removing missing values
- Learn statistical analysis
- Learn removing duplicate values
- Learn data sorting
- Learn indexing, slicing and data selection
- Learn to create filters
- Learn to do export from dataframe to different file formats
Who Should Attend!
- For data science, machine learning and data analytics enthuasist