Google Ad Manager

youtube.com

In today's privacy landscape, a publisher's first-party data is a valuable asset for maintaining relevance for their users and driving revenue to fund content and services. 

During this webinar, Ad Manager's director of product management, Peentoo Patel, discusses three ways that publishers can use their first-party data and new privacy-focused solutions to activate their user relationships and deliver relevant ads.

Activate your relationships: How to boost revenue with first-party data

- What is a lean startup?
- How to improve your startup idea,get customers, and grow your startup 
- How to build MVP (Minimum viable product)
- How to Go big and Convert any idea into a business
- Different types of startup business models
- How to make startup pitch deck for fundraising
- How to raise fund
- Startup HR strategy
- What is the legal structure of a startup?
- How to do customer development in a startup

The Lean Startup for Entrepreneur 

- Basics of the Python programming language.
- The core concepts of data science libraries in Python.
- Become proficient in manipulating and visualizing data in Python.
- Understand the principles of machine learning and predictive modeling.
- Learn how to use Python to access public datasets and create data-driven applications.
- Become familiar with the capabilities of the Python scientific stack for data analysis.

Learning python to be a data scientist

🐍 Python has rapidly grown to become one of the most used language in the tech industry. 

Objective Of This Path ?

The objective of this learning path is to share with the audience my journey, the path which I took, the resources(both free and paid) which I referred and continue to refer to this day. 

The course contains paid courses which offer high value and also corresponding free versions of the same topics. The advantage of 
paid courses is that they are updated from time to time so you always get access to the latest content.

Career Paths Which Python Opens Up ?
-- Backend Development
-- Data Analytics
-- Data Engineering
-- Data Scientist
-- Machine Learning & AI


How Is This Path Structured ?
-- Structured courses which teach everything about Python in single video
-- IDE Setup for Python(PyCharm, Jupyterlab, VsCode)
-- Managing virtual environments in Python using venv and miniconda
-- Individual video content for important Python concepts such as Decorators, Generators, Logging, Unit Testing, OOPs
-- Courses for Python Backend & Web Development covering Flask, Django & FastAPI
-- Courses for Python Data Engineering & Data Analysis covering Pandas, Numpy, Matplotlib, Seaborn
-- Courses for Python Data Science, Machine Learning/AI covering Pytorch, NLP and various machine learning concepts


Hope my journey & it's learning benefit anyone who takes this path.

Activate your relationships: How to boost revenue with first-party data

The Lean Startup for Entrepreneur

Learning python to be a data scientist

Python Mastery: From Zero To Hero