Published 12/2022Created by Tech 786MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 80 Lectures ( 8h 20m ) | Size: 3.17 GB

Uses and Importance of Python

Python Vs Java Vs C

Python Installation

Operators in Python

Sets in Python

Data Collection

Variables in Python

Data Types in Python

Conditional Statements

Loops in Python

Classes and Objects

File Handling in Python

Functions in Python

Numeric Data Types

Strings in Python

Lists and Tuples

NumPy: Data Science

Pandas: Data Science

Internet connection, laptop, computer, or smart phone

No prior Knowledge is required. We shall start from basics

< Step-by-step explanation of more than 100 video lessons on python and data science><Instant reply to your questions asked during lessons><Weekly live talks on python and data science. You can raise your questions in a live session as well><Helping materials like notes, examples, and exercises><Solution of quizzes and assignments> This course has been designed for python and data science students. The course has explained from basics of python and data science and it finishes on a pro level. The real-life examples of data science and python have been added as well to make the course valuable for the learners. What  you will learn:Uses and Importance of PythonPython Vs Java Vs CPython InstallationOperators in PythonSets in PythonData CollectionVariables in PythonData Types in PythonConditional StatementsLoops in PythonClasses and ObjectsFile Handling in PythonFunctions in PythonNumeric Data TypesStrings in PythonLists and TuplesNumPy: Data SciencePandas: Data ScienceWho are the Instructors?Dr. Allah Ditta is your lead instructor – a Ph.D. and lecturer making a living from teaching Python, advanced mathematics, and data science. You'll get premium support and feedback to help you become more confident with data science!We can't wait to see you on the course!Enroll now, and we'll help you improve your data science skills!AD Chauhdry

For python learners

For data science bners

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