Complete guide to begin with Python for Data Sciences

[LeeAndro]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 2.75 GB | Duration: 9h 36m

Learn how developers use Exception Handling for handling errors.

What you'll learn

Learn how to use Jupyter Notebook efficiently for Programming

Learn fundamentals of Python Programming Language and how to approach Python Assignments and solve them

Learn various data structures of Python - List, set, tuple, dictionaries

Learn how to use if else statements, loops with certain illustrations

Learn how to use functions and recursion to build a python project

Learn advanced functions - map and lambda which will be used in data science frequently

Get ready to appear for any interview, assignment, projects related to data science, development

Learn Variables and data types in detail.

Learn how to format strings and print statements

Requirements

Simple Mathematics - Addition, Subtraction, Multiplication, Division

Description

For those, who has never written a single code in entire life and want to move into data science or advanced python, this course provides you a simple approach to learn coding from scratch using python as a tool and master it with illustrations and assignments.

For those, who are already experienced in coding, but want to move into advanced python, this course provides you ample hands-on exercises and assignments for deeply understanding the concept.

Who this course is for:

Bner Python developers

Data science aspirants

web development aspirants

Python for interview preparation

Data Analytics aspirants



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