Finance & Accounting Courses - Udemy

TODO -> A compilation of all the development related courses(13 thousand courses) which are avilable in Udemy's website.Under the development category,there are courses from finance,accounting,compliance,cryptocoourence,economics,trading & testing,taxes and much more each having multiple courses under it's domain.
-> All the details can be found on Udemy's websiteas well!
-> Here i have extracted the data related to 10k courses which come under the development category on Udemy's website.
-> The 17 columns in the dataset can be useful to gain the insights related to:
* id : The course ID of the particular courses.
* title : Shows the uniaue names of the course available under the development category on Udemy.
* url : Give the URL of the course.
* is_paid : Shows the boolean value True if the course is paid otherwise it return False.
* num_subscribers : Shows the number of people who have subscribed for the course.
* avg_rating : Shows averating rating of the course.
* avg_rating_recent : It reflects the recent changes in the average rating.
* num_reviews : Gives an related to the number of ratings that course have received.
* num_published_lectures : Shows the number of lectures that course offers.
* num_published_practise_tests : Give an idea that number of practise test that course offers.
* creation : The time of creation of the course.
* published_time :The time of publishing the course.
* discounted_price_amount : The dicsounted price with a certain course is being offered at.
* discounted_price_currency : The currency corresponding to the discounted price with a crtain course is being offered at.
* price_detail_amount : The original cost of thr particular course.
* price_detail_accuracy : The currency corresponding to the price detail amount of the course.
-> I got the dataset from kaggle,I am tryong to do Data analysis with it,the tools are used in this analysis are python library to download the dataset,pandas for prepararing amd cleaning the dataset,matlplot and seaborn are used for data visualization and exploratory analysis.
-> I learned all the tools and techniques which are used in data analysis Data Analysis with Python:Zeros to Pandas,its free and opensource to all.

Downloading the Dataset

TODO -> Here we are downloading the dataset using the opendataset library.
-> opendataset library directly takes the URL and downloads the dataset in our Jupitar Notebook,and there is no need to download and upload the dataset.
-> Here wea are using the python library

Let's begin by downloading the data, and listing the files within the dataset.