Python Programming Language for Beginners

Applied Data Science and Machine Learning

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COURSE DETAILS

The objective of this course is to familiarize a learner with basic computer programming concepts like data types, containers, functions, loops, conditional statements. It also covers Python programming language syntax and semantics with hands-on coding exercises over the Python runtime environment.

Learning Outcomes:
On completion, a learner should be able to

Work with an integrated development environments (IDEs) for developing Python code
Write code in Python languages for solving basic problems
Understand and interpret Python code written by other programmers

After completing this course the learner should be able to attain PCEP (Python Certified Entry Level Programmer) certification from Python Institute.

Entry Requirements

Open for all

Course Level

Entry Level

Assessment

Not applicable

Accreditation / Awarding Body

ICE (Leading to PCEP (Python Certified Entry Level Programmer) certification from Python Institute.)

What will you learn

Week 1

Fundamental Concepts:
Interpreter, compilation, lexis, syntax semantics, Keywords, Indenting, Output with formatting, Input, Numeral System.

Week 2

Operators (Numeric, String, Assignment and Shortcut), Unary, binary operators, Bitwise operators, Boolean Operators.

Week 3

Relational operators, Floating point numbers, input and output with functions, Formatting output using print(), Type casting, Basic Calculations.

Week 4

Convolutional Neural Network
Computer Vision real life application
Overfitting/Underfitting
NN issues (vanishing gradients etc)
Model improvement and generalization techniques (Data Augmentation, Dropout, batch Normalization etc.)

Week 5

Loop variants (while, for-else), Nesting Loops, conditional statements, Controlling loop execution (break, continue, pass).

Week 6

Lists (indexing and slicing), List methods, in and not in operators, List comprehension, copying and cloning, Lists in lists, Tuples (slicing, indexing, immutability), Tuples vs lists.

Week 7

Dictionaries (building, indexing, adding and removing keys, iterating through dictionaries, Methods over dictionaries, Multiline strings, string functions.

Week 8

Defining custom functions and generators, return, yield, None, Recursion, Parameters vs arguments, Positional keywords, converting generator objects into lists, Name scope and global keywords.