Feb

04

2022

Learn Python for Data Science & Analysis from Scratch by Satyajit Pattnaik

Laser 4 Feb 2022 10:04 LEARNING » e-learning - Tutorial

Learn Python for Data Science & Analysis from Scratch by Satyajit Pattnaik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 19 lectures (6h 9m) | Size: 6.2 GB

Master Python within few hours & Be Ready to jump into Data Science & Analytics

Learn the art of programming
Master Python programming language
100% capable enough to enter the field of Data Science & Analytics
Build GUIs and Desktop applications with Python
Learn to use Data Science & Analysis libraries like Pandas, NumPy, Matplotlib, Seaborn
Build Python projects to potentially become a full Programmer

No programming experience needed.

You will learn A-Z related to Python Programming in this course

Are you ready to jump into Data Science & Analytics
Do you know that to enter the field of Data Science & Analytics, learning a programming language is must!!
This comprehensive course will be your guide to learn Python from scratch, and even will be introducing you to various mostly used libraries into Machine Learning & Data Science such as Pandas, NumPy, Matplotlib, Seaborn etc. to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
This course is designed in such a way that even someone with zero programming knowledge can learn with ease, and jump into the field of Data Science & Analytics.
Yes, you heard it right!!
Even if you have zero knowledge on programming, or you are coming from a purely non-technical background, this is the course you were searching for!!
The trainer of this course carries an immense knowledge into Programming, Data Science & Analytics, and have taught 10,000+ students globally. With over 6 hours of content and detailed code notebooks for every lecture this is one of the most comprehensive course for Python on Udemy!
Here are the topics that we will learn in this course
Python Basics
Datatypes, Operators & Operands
Data Structures - Lists, Tuples, Sets & Dictionaries
Loops & Iteration
Functions
Map, Reduce & Filter Functions
File Handling
Control Structures
Object Oriented Programming Concepts: Inheritance, Encapsulation, Polymorphism, and Data abstraction
Python for Data Science & Analysis: Pandas
Python for Data Science & Analysis: NumPy
Python for Data Visualization: Matplotlib, Seaborn
Enroll in the course and start your journey into Programming, Data Science & Analytics now!!

Bners who are curious & interested to jump into the world of Data Science & Analytics






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