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Development Programming Languages Python

Python for Beginners: Easily Learn Python Programming

Programming for Non-Programmers. Learn Python programming easily from beginning with practical exercises
Rating: 3.9 out of 53.9 (37 ratings)
6,134 students
Created by Steven Martin
Last updated 8/2020
English
English [Auto]
Current price$12.99
Original Price$19.99
Discount35% off
2 days left at this price!
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30-Day Money-Back Guarantee

What you'll learn

  • Program fluently in Python
  • Use Anaconda and Jupyter for Python Programming
  • Understand concepts such as loops and functions

Course content

12 sections • 46 lectures • 5h 15m total length

  • Preview03:56
  • Why Python Part I
    06:51
  • Why Python Part II
    10:33

  • Downloading and Accessing Python from Spyder
    10:37
  • Using Jupyter based application to write Python codes
    10:26
  • Preview05:16
  • Preview05:13

  • Preview08:56
  • Types of Objects - Multiple data elements tuples and lists
    07:05
  • Types of Objects - Multiple data elements sets and dictionary
    05:06
  • Summary of Object Types
    05:15
  • Concept of Memory Location
    04:43
  • Python Basic commands
    03:23
  • Concept of Packages
    06:54
  • Panda series at a glance
    05:58

  • Preview08:39
  • Preview05:41
  • Indexing set and a dictionary
    04:22

  • Preview13:14
  • Converting Object type - Part II- tuple, list, set to Other Object types
    09:47
  • List comprehension
    03:50
  • Set functions
    07:55

  • Preview04:59
  • Preview08:35
  • Case Study with and or Operator
    03:33

  • If else conditions Part I - With 2 conditions
    07:26
  • If else conditions Part II - More than 2 conditions
    03:13
  • If else conditions Part III- Nesting if else
    08:59

  • Python functions and Package specific functions
    04:57
  • User defined function Part I - Non-parameterized function
    05:44
  • User defined function Part II - parameterized function
    06:23
  • User defined function Part III - With default value and embedding if else
    02:56

  • Types of Loops - for and while loops
    08:10
  • Types of Loops - for loop in detail with examples
    04:49
  • Types of Loops - While loop in detail with examples
    07:42

  • Preview03:30
  • NumPy Array - 1D and 2D
    12:48
  • Array - 3D
    04:21
  • Array computations and functions
    10:34

Requirements

  • No pre requisites. Good to have knowledge of basic computer programming

Description

Learn the fundamentals of Python through video lectures and practice problems.

Python is an easy to learn programming language with a wide variety of niche and highly valuable jobs in many areas like data science, web development, gaming and network programming.

Lets get started with a language of future and excel/ upgrade your careers with Python programming.

Who this course is for:

  • Professionals interested in programming with or without prior programming experience
  • This course is not for experienced Python programmers
  • Professionals specifically looking for using Python for Data Science and Business Intelligence

Instructor

Steven Martin
Data Scientist /BI Professional & Machine Learning Engineer
Steven Martin
  • 4.1 Instructor Rating
  • 169 Reviews
  • 13,146 Students
  • 6 Courses

Steven is a Data Scientist and ML Professional. He has extensive industry experience into large variety of technologies. He is passionate about delivering excellence in trainings with great visualizations.

Ø  He is an Engineer Computer Science. BI and ETL Developer with 15 years of experience. Had worked into various ETL and Analytics tools platforms like Python, Alteryx, Tableau, SAS Data Integration Studio, Informatica, Hadoop and Spark big data platforms.

Ø  Training Experience: Had been training since last 8 years into experience technologies. Passionate about training.

Ø  Has extensive experience in industry domains like Telecom, Manufacturing, Banking and Health Insurance.

Ø  Delivered projects around:

     1. SDLC of a Manufacturing domain with Alteryx and      SAS DI Studio

     2. Alteryx Process Application for a telecom company

     3.  Tableau reports for a health insurance company

     4. Data Analytics solutions with SAS & Python predictive and forecasting tools.

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