May 30 2020

Data Analysis with Pandas and NumPy in Python [2020]


Data Analysis with Pandas and NumPy in Python [2020]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 51 lectures (5 hour, 9 mins) | Size: 2.02 GB

Start Data Science python programming professionally .


What you'll learn

Do Case Study on Real World Data for Covid19 Data and Car Price Data

Start using libraries used in Data Science project Pandas , NumPy

Extract data from various websites,twitter, pdf files, csv and RDBMS databases

Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions

Start making visualisations charts - bar chart , box plots which will give the meaningful insights

And Probably start applying for the best job in the world

Requirements

Students must be passionate about Data

Good to have High school level math skills

Desktop computer/ laptop for installing software for Python

Ready to spend 1 hr learning everyday for 5 days

Description

The course is packed with real life projects examples and include Covid19 Data Analysis ( real life Hospital Data ) which you will be doing as part of Assignment. Solutions and source code is provided

Get Transformed from Bner to Expert .

Source Codes are provided for each session so that you can practise along with the lectures..

Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions

Start python programming professionally

Extract data from various sources like websites, pdf files, csv and RDBMS databas

Start using the highest in-demand libraries used in Data Science project Pandas , NumPy

Start making visualisations charts - bar chart , box plots which will give the meaningful insights

We will also go through Melbourne Real estate data , market data and analyse which factors are key to decide car price .

Who this course is for:

Bner who are passionate about Data

Looking to change career into Data Science field



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