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Python: Python Basics Bootcamp for Beginners in Data Science

PUBLISHER :- Shepherd Mahupa

LANGUAGE :- English

PRIZE :- 87.10$ 0$

Python: Python Basics Bootcamp for Beginners in Data Science

WHO CAN ACCESS THIS COURSE :-

  • Beginners
  • Enthusiasts

WHAT ARE YOUR REQUIREMENTS FOR THIS COURSE ?

  • No Programming experience required
  • High School Maths

WHAT YOU ARE GOING TO LEARN FROM THIS COURSE ?

  • Python Basics
  • Python Lists
  • Python Dictionaries
  • While Loops
  • For Loops
  • Python Functions

DESCRIPTION

Beginners Friendly: Learn python for data science by the right way.

As a novice when learning python for information investigation or information science you do it any other way from somebody learning it to be an engineer ( web, applications or games). Content in this course is intended to quick track you to the following stage by showing you the important themes that will assist you with beginning in the following python libraries for information examination and information science. These libraries incorporate NumPy, pandas and sci-unit learn.

Practice-based learning

The most ideal approach to recollect when learning is to learn by doing. In each segment, you gain proficiency with the hypothesis behind then we profound plunge into training. The instructional exercises are planned with the goal that you follow on your own PC in handling little practice models.

COURSE CONTENT

  • 9 sections • 59 lectures • 2h 52m total length

Introduction5 lectures • 12min

  • IntroductionPreview03:55
  • TipsPreview02:12
  • What is programming00:55
  • Print Function01:40
  • Print PracticePreview03:39

Pyton Variables5 lectures • 13min

  • Variables intro02:11
  • variables practice06:33
  • to note02:01
  • python syntax00:53
  • variable data types01:18

Numeric Data Type3 lectures • 7min

  • intro01:34
  • numeric operators00:59
  • numeric data type practicePreview04:14

String Data Types8 lectures • 31min

  • intro02:34
  • intro 203:38
  • indexing strings02:25
  • indexing practice03:41
  • slicing strings03:11
  • slicing strings practice05:03
  • string methods01:28
  • string methods practice09:15

Python Lists12 lectures • 30min

  • intro02:24
  • indexing lists01:20
  • indexing practice04:45
  • slicing lists01:32
  • slicing lists practice04:53
  • nested lists00:54
  • nested lists practice03:23
  • list methods01:07
  • list methods 201:14
  • list methods practice06:00
  • tuples01:55
  • diffrenece between lists & tuples00:37

Python Dictionary4 lectures • 13min

  • intro03:28
  • dictionary practice06:35
  • dictionary practice 201:58
  • dictionary methods00:47

Python Functions8 lectures • 21min

  • intro02:07
  • capacities practice05:46
  • work parameters01:16
  • boundaries practice03:48
  • catchphrase arguments00:59
  • catchphrase argumennts practice02:30
  • default arguments02:39
  • print and return01:28

Conditionals ( IF, ELIF & ELSE ) 6 lectures • 22.59min

  • intro02:43
  • on the off chance that statements02:42
  • else statements03:32
  • elif statements06:59
  • elif statementsPreview05:11
  • fyi01:40

Python Loops ( While & For Loops)8 lectures • 23min

  • while loops 01:35
  • for loops02:37
  • for loops practice02:36
  • for loops practice2 05:02
  • for loops practice01:45
  • statements01:43
  • break statement practice04:10
  • continue statements practice04:03

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