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https://github.com/hemansnation/python-for-data-professionals

This course is designed to get a good grip on python programming, logic building, solving algorithm-based questions, data structures, understanding of data analytics, working with pandas, professional practices, and API building.
https://github.com/hemansnation/python-for-data-professionals

data-analytics data-professionals data-science exploratory-data-analysis logic-programming machine-learning pandas python

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This course is designed to get a good grip on python programming, logic building, solving algorithm-based questions, data structures, understanding of data analytics, working with pandas, professional practices, and API building.

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README 

        
# Python-For-Data-Professionals



I created this Live course for Data Professionals so that they can learn Python in 12 days for starting their data journey.



This roadmap is designed to get a good grip on python programming, logic building, solving algorithm-based questions, understanding of data analytics, working with pandas, professional practices, and API building.



![Python Header](https://github.com/hemansnation/Python-For-Data-Professionals/blob/main/images/header.png)



# The only course you need to build a strong foundation of Python for your data journey.



### Key features of this workshop:



- Live 12 Days Sessions (24 Hours in Total).

- Lifetime access to recordings and resources.

- Community support of like-minded data professionals.

- You can get FREE access to future Live sessions on Python for lifetime learning.

- Editable Notion template so that you can create your own notes in an organized manner.



## It is divided into 12 Chapters 👇



1 | While Loops, Lists, Strings


2 | For Loop, Dictionary, Tuples, Set


3 | Object-Oriented Programming


4 | Modules, Packages, and PIP


5 | Functions & Higher-Order Functions


6 | Virtual Environment, Flask, and Python Web Scrapping


7 | Building API, Python with MongoDB Database


8 | Statistics with NumPy


9 | Data Analysis with Pandas


10 | Data Visualization with Matplotlib


11 | Projects


12 | Resource collection, Interview Questions, What to do Next? How to approach Data Science.



![Notion Tempate](https://github.com/hemansnation/Python-For-Data-Professionals/blob/main/images/notion.gif)



[Get the detailed Roadmap Here](https://www.notion.so/god-level-python/Python-for-Data-Professionals-12-Days-Live-Course-8e3717c428e64c2fbb58546b036d80de)



## Who can join?

- You are working in the field of data.

- If you are a professional and want to transition into data science, this can be your starting point.

- Do you want to work on Python programming and logic building as a Data Analyst or Business Analyst?

- Learn Python for technical rounds of Managers in tech companies.

- You are a product manager and want to get into programming.

- You are targeting the Machine Learning position for your job, you can start here.



## What you will gain?

- You will know how to build Logic for Programming.

- You will be confident in Python.

- You will know how to work with data.

- You will gain Hands-on experience working with data sets, including cleaning, transforming, and visualizing data.

- You will get access to course materials, including lecture notes, code snippets, and exercise problems, as well as a community of like-minded professionals who are also taking the course.



# Instructor



![Himanshu Ramchandani](https://github.com/hemansnation/Python-For-Data-Professionals/blob/main/images/instructorhimanshu.png)



# Starting 4th February 2023

# Registration Closed