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Development Data Science Python

Python: Python Basics Bootcamp for Beginners in Data Science

A python basics course to kicksart your data science career with python .Learn Python for data science with ease .
Rating: 3.8 out of 53.8 (68 ratings)
10,962 students
Created by Shepherd Mahupa
Published 9/2020
English
30-Day Money-Back Guarantee

What you'll learn

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

Course content

9 sections • 59 lectures • 2h 53m total length

  • Preview03:55
  • Preview02:12
  • What is programming
    00:55
  • Print Function
    01:40
  • Preview03:39

  • Variables intro
    02:11
  • variables practice
    06:33
  • to note
    02:01
  • python syntax
    00:53
  • variable data types
    01:18

  • intro
    01:34
  • numeric operators
    00:59
  • Preview04:14

  • intro
    02:34
  • intro 2
    03:38
  • indexing strings
    02:25
  • indexing practice
    03:41
  • slicing strings
    03:11
  • slicing strings practice
    05:03
  • string methods
    01:28
  • string methods practice
    09:15

  • intro
    02:24
  • indexing lists
    01:20
  • indexing practice
    04:45
  • slicing lists
    01:32
  • slicing lists practice
    04:53
  • nested lists
    00:54
  • nested lists practice
    03:23
  • list methods
    01:07
  • list methods 2
    01:14
  • list methods practice
    06:00
  • tuples
    01:55
  • diffrenece between lists & tuples
    00:37

  • intro
    03:28
  • dictionary practice
    06:35
  • dictionary practice 2
    01:58
  • dictionary methods
    00:47

  • intro
    02:07
  • functions practice
    05:46
  • function parameters
    01:16
  • parameters practice
    03:48
  • keyword arguments
    00:59
  • keyword argumennts practice
    02:30
  • default arguments
    02:39
  • print & return
    01:28

  • intro
    02:43
  • if statements
    02:42
  • else statements
    03:32
  • elif statements
    06:59
  • Preview05:11
  • fyi
    01:40

  • while loops
    01:36
  • for loops
    02:38
  • for loops practice
    02:26
  • for loops practice 2
    05:12
  • for loops practice
    01:48
  • statements
    01:49
  • break statement practice
    04:20
  • continue statements practice
    04:13

Requirements

  • No Programming experience required
  • High School Maths

Description

Beginner Friendly: Learning python for data science the right way.

As a beginner when learning python for data analysis or data science you do it differently from someone learning it to be a developer ( web, apps or games). Content in this course is designed to fast track you to the next stage by teaching you the relevant topics that will help you get started in the next python libraries for data analysis & data science. These libraries include NumPy, pandas and sci-kit learn.


Practice-based learning

The best way to remember when learning is to learn by doing. In each section, you learn the theory behind then we deep-dive into practice. The tutorials are designed so that you follow on your own computer in tackling small practice examples.

Who this course is for:

  • Beginners
  • Enthusiasts

Instructor

Shepherd Mahupa
Data Scientist
Shepherd Mahupa
  • 3.7 Instructor Rating
  • 326 Reviews
  • 33,062 Students
  • 3 Courses

I am on Udemy because I believe anybody who wants to learn something new needs to be supported with beginner-friendly and project-based learning content. I believe if you master the fundamentals, you can venture into any field that you want. My courses follow this thought process and I apply it in my life as well. Teaching is my passion.

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