Python Basic to Advanced for Data Science Online Course

4.7( 6 REVIEWS )
498 STUDENTS

Description:

This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world’s object-oriented systems.

The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now!

Entry Requirement

  • This course is available to all learners, of all academic backgrounds.
  • Learners should be aged 16 or over to undertake the qualification.
  • Good understanding of English language, numeracy and ICT are required to attend this course.

Certification:

After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.

Why choose us?

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • The UK & internationally recognized accredited qualification;
  • Access to course content on mobile, tablet or desktop from anywhere anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path

After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.

Course Curriculum

Python 3 Beginners
Module 01
Introduction FREE 00:29:00
Starter Examples 00:33:00
Learning C Concepts 00:13:00
Module 02
Data Types and Inference 00:20:00
Sizeof and IEEE 754 00:33:00
Constants L and R Values 00:11:00
Operators and Precedence 00:25:00
Literals 00:26:00
Module 03
Classes and Structs FREE 00:22:00
Enums 00:14:00
Unions 00:16:00
Introduction to Pointers 00:11:00
Pointers and Array Indexing 00:12:00
Using Const with Pointers 00:09:00
Pointers to String Literals 00:12:00
References 00:14:00
Smart Pointers 00:22:00
Arrays 00:15:00
Standard Library Strings 00:13:00
More Standard Library Strings 00:18:00
Functions 00:06:00
More Functions 00:16:00
Function Pointers 00:15:00
Control Statements 00:18:00
Python 3 Intermediate
Module 04
Installing Python FREE 00:17:00
Documentation 00:30:00
Command Line 00:17:00
Variables 00:29:00
Simple Python Syntax 00:15:00
Keywords 00:18:00
Import Module 00:17:00
Additional Topics 00:23:00
Module 05
If Elif Else 00:31:00
Iterable 00:10:00
For 00:11:00
Loops 00:20:00
Execute 00:05:00
Exceptions 00:18:00
Data Types 00:24:00
Module 06
Number Types 00:28:00
More Number Types 00:13:00
Strings 00:20:00
More Strings 00:11:00
Files 00:08:00
Lists 00:15:00
Dictionaries 00:04:00
Tuples 00:07:00
Sets 00:09:00
Module 07
Comprehensions 00:10:00
Definitions 00:02:00
Functions 00:06:00
Default Arguments 00:06:00
Doc Strings 00:06:00
Variadic Functions 00:07:00
Factorial 00:07:00
Function Objects 00:07:00
Module 08
Lambda 00:11:00
Generators 00:06:00
Closures 00:10:00
Classes 00:09:00
Object Initialization 00:05:00
Class Static Members 00:07:00
Classic Inheritance 00:10:00
Data Hiding 00:07:00
Python 3 Advanced
Iterators and Generators FREE 00:16:00
Regular Expressions 00:19:00
Introspection and Lambda Functions 00:27:00
Metaclasses and Decorators 00:24:00
Modules and Packages 00:25:00
Working with APIs 00:15:00
Metaprogramming Primer 00:19:00
Decorators and Monkey Patching 00:21:00
XML and JSON Structure 00:10:00
Generating XML and JSON 00:17:00
Parsing XML and JSON 00:19:00
Implementing Algorithms 00:19:00

Course Reviews

4.7

4.7
6 ratings
  • 5 stars4
  • 4 stars2
  • 3 stars0
  • 2 stars0
  • 1 stars0
  1. Amelie Freeman

    4

    Very upgraded contents and combinations. Higly recomended for not-so-advanced readers

  2. Scott Butler

    5

    CRAZY PYTHON RIDEE WOOOHO. stunnig for basic developers but a little bit heartreaking for professionals? or maybe the professionals made this one ;..;

  3. Ewan Harding

    5

    Recommended but some modules need to be really upgraded

  4. Hollie Parkin

    5

    Exuberant and enticing!!!!!!!! just notice how they designed this course nd helping u implementing properly

  5. Cameron Wong

    5

    hilgly recommended for amateurs if they are relly into python and practices hard

  6. Leon Begum

    4

    wanna become a delevolper? 1st learn a little bit basics of python nd then start this course

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