Python Boot Camp, 12-weeks

£2100 - 12 weeks - Blended Learning - Course details - Book the course

Python Boot Camp, 12-weeks Blended Learning Program, £2100

Course details

Python Boot Camp, 12-weeks

Python Boot Camp Course Summary.

This excellent Python Programming course will help you to learn coding in Python thoroughly.
Learn to code from scratch to job-ready.

"Blended" learning programming:

Online, Instructor-led lessons: 1 full day lesson per week
Plus Self-study Materials and a Structured Self-Study Program
Plus 1-1 mentoring sessions to learn Python
Live Practical Project
Upload and showcase your project
Payments
£2100 in one payment or talk to us about monthly installments

Our Style: Instructor-led, Online, Hands-on, Practical Course.
Group Size: Max 4 people per group.
Qualification: PCWorkshops Programmer II Certification
Hours: Part-time, study while working

Weekly topics and other details

Weekly Python lesson topic descriptions

Overview of Python Fundamentals:
Python Data Types, Variables:
Primitive types; Characters; Boolean; Working with variables and its scope; Type conversion and casting;
Strings
String Functions, Strings vs numbers vs dates.
Getting user input.
Python Operators and Expressions:
Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.
Decision Making:
If statement; If - else statement; If- else if - else statement; Nested if - else; Switch Statements
Using Loops:
The while, do-while and the for loop; Enhanced for loop; Jump statements : break, continue; The return statement; Nesting loops.

Lists. Tuples. Sets, Dictionary. Json Files.
Using Built-in modules and functions for strings, maths and dates.
Exception Handling, Files, Streams.

OOP Principals
Using Methods:
Learn Python method basics. Defining Methods, Parameters, Returning values, Overloading methods, Calling methods. Encapsulation.
Classes and Objects Inheritance, Override, Constructors, Parametised Constructors, the self keyword, Inner classes

Database concepts, Relational Database
Data Types, Columns, Tables
Relationships
SQL statements
DDL SQL Statements:
Create and drop a databases
Create,aleter and drop alter tables
Select queries: where-clauses, wildcards, order by, joins, aggregates, having,
DML Queries: Insert, Update and deleting records

Connect to a from Python to a SQLite3 database,
Data Driven Python Project:
DDL Queries: Create a table, alter tables, drop a table
Creating a log of transactions, using the above
DML Queries: insert, delete, update records
Creating a log-in facility to register, delete and maintain users
Create a Search facility using select queries
Query a database with wildcard parameters and display results

Numpy Arrays The Python NumPy Module: Working with arrays, create data using arrays. Array manipulation and array-wise math functions. String functions on arrays.
Numpy Built-In Functions : Math, arithmetic and statistical functions.
Numpy Calculations

Pandas Series
Data Cleaning
Python Pandas Dataframes and data importing
Python Dataframes
Data Series. Date/ Time Functionality. Time series.
Creating Dataframes, Indexing.
Dict to Dataframe, Dataframe to Dict.
Csv to Dataframe, Dataframe to csv.
Excel to Dataframe, Dataframe to Excel.
Data Cleaning and preparation
Finding, replacing and filtering missing data.
Remove Duplicates.
Replacing values.
Renaming Axis Indexes.
Pandas Data Wrangling
Discretization and Binning.
Random Sampling.
Transforing data using function and mapping,
Hierarchical Indexing,
Reorder,
Sorting, Stastitics,
Dataframe Joins, Merging, Concatenation, Overlap.
Reshaping and pivoting.

Query a Pandas Dataframe
Data Analysis:
Sorting.
Analysing and finding data using filter, slicing and dataframe queries.
Finding data by Iteration.
Find statistics: Functions, Aggregate functions.
Unique values.
String objects, Regex.

Chart Types: Bar, Column, Line, Scatter, Pie, Area, Histogram, Funnel Charts
Formatting: Changing gridlines lines, axes, scales, markers, colours,
Chart Elements: legends, titles, plot seizes, exporting.

Supervised Machine Learning:
Classification Algorithms:
Regression Algorithms: Linear, Polynomial

Unsupervised Machine Learning:
Clustering Algorithms: K-means clustering, Hierarchical Clustering
Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA)
Association Algorithms: Apriori, Euclat
Ensemble Methods Algorithms: Stacking, bagging, boosting. Random Forest Random Forest, Gradient Boosting
Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN)
Data Exploration and Preprocessing:
Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy.

Python Tkinter Front-end Basics
Getting Started with HTML
Getting Started with CSS
Getting Started with Php
Getting Started with JavaScripts

Python Coding Boot Camp Self-Study Program:

Video TutorialsExcellent videos, short and easy
Python Coding Examples All lessons are illustrated with code examples
Manuals and Notes Reference materials
Exercises Exercises after every class
Tests Many tests to re-inforce

1-1 Mentoring:

Book 1-1 Sessions Individually
Dedicated trainer per student

Practical Projects:

Projects Combine the exercises into great projects
Show case your projects on Github

Python Boot Camp Course Materials

Python Boot Camp Certificate on completion
Python Boot Camp Videos
Python Boot Camp Notes
Python Code Examples
Practical Python Boot Camp exercises, Python Course Revision work
Mock tests and contests for the Python certificate

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About us

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Learn Java

What's new in Python 17? Accelerating Java’s Adoption in the Cloud with continuous innovation that address the evolving needs of developers. To accelerate Python adoption in the cloud, Oracle recently introduced the Oracle Python Management Service

What's new in Python 17? Updates and Improvements to Libraries JEP 306: Restore Always-Strict Floating-Point Semantics –

What's new in Python 17? Future Proofing Python Programs JEP 403: Strongly Encapsulate JDK Internals – It will no longer be possible to relax the strong encapsulation of internal elements

What's new in Python 17? Read the Python 17 technical blog : https://blogs.oracle.com/java/post/announcing-java17

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Python Boot Camp, 12-weeks

Python Boot Camp, 12-weeks Blended Learning Program, £2100