Python Boot Camp, 12-days

Details - Python Topics - Book the course
PYTHON CODING BOOT CAMP online, instructor-led
Python Course details

Python Boot Camp, 12-days

Learn to Python, Ideal for Data Analysts.


With this excellent Python Programming course online, instructor-led you will achieve job-ready coding expertees.

    Overview
    12-day instructor-led Python Bootcamp: practical, hands-on learning from beginner to advanced, preparing you for a successful Python career

    PYTHON BOOTCAMP:
    Our comprehensive 12-day Python Bootcamp is designed to take you from a complete beginner to a confident, professional Python programmer.

    With structured, hands-on sessions, you’ll master the fundamentals, dive into advanced concepts like object-oriented programming, data analytics, and machine learning, and complete practical projects that build real-world skills.

    With each session, you’ll gain step-by-step guidance from an expert instructor, ensuring concepts are understood and applied effectively.

    The program includes mentorship, e-learning materials, and a final project you can showcase on GitHub, giving you a tangible portfolio of work.

    Upon completion, you’ll receive a fully professional Python Programmer Certificate, validating your skills and readiness for a career in Python development, data science, or related tech fields. This bootcamp is ideal for anyone looking to start a Python career quickly, efficiently, and with confidence.

    WHEN: Choose your own 12 dates! Book your start date on the website booking page, then email us the other dayes you wuld like to attend ( Mon - Friday only)

    Why attend:


    ✅ Gain strong job prospects across tech, finance, healthcare, AI, and startups
    💼 Access to high-demand roles like Software Developer, Data Analyst, ML Engineer
    💰 Earn a very competitive salary
    ✅ Access numerous freelance positions for which you can charge top dollar
    🌍 Ability to work remotely or internationally
    💼 Gain Skills to work with data, databases, and analytics tools

    Why Instructor-led:

    👨‍🏫 Expert Guidance – Learn from an experienced trainer who explains clearly and simplifies complex topics.
    ⚡ Faster Progress – Move ahead efficiently with structured lessons and real-time feedback.
    🎯 Accountability & Motivation – Stay consistent and confident with someone keeping you on track.

    Payments
    💳 Pay in Installments – Spread the cost of the course over multiple payments for flexibility.

    Why 12 sessions:
    12 topics! To cover all the topics the 12 sessions suffice, but could hardly be shortened

    Practicals:
    This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession. There is a final project to showcase.
    Contact us:
    Contact us: https://pcworkshopslondon.co.uk/contact.html ,
    Or email: training@pcworkshopslondon.co.uk

    Customise:
    Click to customise the dates, or course outline: https://pcworkshopslondon.co.uk/contact.html

    How does the Python Boot Camp Work:
    Duration: 12 1-day sessions, select the scheduled start date on the booking link, and then email to us with your dates for the other 11 days.
    Plus pratical work,
    Plus personal trainer-mentor for 1-1 training,
    Plus e-learning materials.
    Final project : Practical to upload to GitHub and show-case

    Pre-requisites:
    Study level: Start from beginners level to in-depth, ready to work professionally.
    Virtual attendance: online instructor-led, you need wifi, speaker and mic
    Download: Anaconda.com
    Pre-requisites: General computer literacy.
    Qualification: PCWorkshops Python Programmer Certificate

    💳 Pay in Installments – Spread the cost of the course over multiple payments for flexibility.

1-1 Mentoring

1-1 Mentoring
  • Additional, between sessions.
    Work at your pace, 1-1 sessions can cover extra work and/or help you catch up.
    Gain confidence, because we revise & validate your practicals.
    Be re-assured, get immediate answers to your questions.

Self-Study

Self-Study
  • Learn by doing, the best way to re-inforce learning, is by trying on your own.
    Practical, most of the self-study work is practical exercises.
    Gain experience, this aspect of the course gives you experience employesr are seeking.

Practical Project

Practical Project
  • Live online, upload your project.
    Showcase, your expertees are testified online.
    Become known, your project will put you in contact with the coding community.

Materials

Materials

  • Python Coding Examples, Plenty thereof.
    Manuals and Notes Reference materials.
    Exercises, Practical work with every class.

Payments

Payment Options
  • Check to bookings link for attractive Options
    Installments, 2 for 1 deals, and discounts, check the bookings link

Our Style

Our Style
  • Personalised, 1-1 Mentoring & Small Groups, Max 4.
    Practical, Hand-on.
    Online Instructor-Led.
Topics and other details
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.

  • 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
  • Practical Create a movie booking system with objects for different movie locations

  • UX Principles and
  • applying it on Front-ends with TKinter.
  • Create a movie booking front-end

  • Connect to a from Python to a SQLite3 database,
  • Dates,
  • Localization,
  • Strings,
  • Maths Operation ,
  • Random Number,
  • Lambdas

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

  • 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
  • Practical: Movie list by location and Customer login database

  • 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:
    • Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine
  • 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

Book the Python Boot Camp


About us
Our experienced trainers are award winners.
Awards

  • Sarah Barnard wins industry recognition as Freelance Trainer of the Year UK02 Feb 2007Learning NewsBray Leino Learning

    Sarah Barnard was judged to be the Freelance Trainer of the Year at the Institute of IT Training's awards dinner last night. The title is bestowed on the individual who has shown exceptional skills in managing, delivering, and/or contributing, through training assignments, to the success of their clients over the past twelve months. BroadSkill, the UK's largest supplier of freelance trainers and performance solutions sponsor the award.
    In selecting the winner, the judges particularly liked the innovative use of automation behind Sarah's regular newsletter and focus she always maintains on establishing value for her clients.

    This is the third year for the award which was put in place to recognise excellence amongst the growing ranks of independent trainers. The majority of training delivery in the UK is delivered by independent trainers and they support businesses and their people to perform day in and day out often with little recognition. Throughout the last 5 years we have witnessed a massive shift away from permanent employment of trainers and independent trainers are now estimated to make at least 70% of the UK delivery workforce, according to BroadSkill. Such trainers need not only to be able stand up in front of a class delivering in depth knowledge and learning but also have to carry out training needs analysis, provide learning consultancy, develop courses and manage projects, as well as selling their own services and managing their own businesses.

    This year was a very tight final with two excellent candidates. The Institute awarded the Silver award to Julia Emelogu, last year's winner.
    Sarah Barnard has developed a unique approach with her Time Saver Training™ which delivers learning that is tightly focussed on increasing productivity in the workplace. The basis of her approach is that once staff have a better understanding of their software, they are then able to use it more productively. This in turn leads to increased productivity for the employee and increased productivity for the company.

    The judges were impressed with Sarah's excellent understanding of adult learning principles and the rigorous testing strategy that she uses to measure and evaluate the training intervention.

    Henry Jodrell, Sales and Marketing Director at BroadSkill, who presented the award, said: "we send our heartiest congratulations to Sarah for this well-deserved award. Being a successful freelance trainer takes a lot of skill and dedication and at BroadSkill we are committed to recognising success whenever and wherever we can. Winners of this award provide role models and help us in developing the profession, both within our own associate trainer base and in our quest to bring new instructors into the industry."


    • PYTHON COURSE FREE TRIAL



    PYTHON COURSE FREE TRIAL
    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
    learn python
    learn python



    Request a Free Trial



    PYTHON COURSE FREE TRIAL

    Copyright © PCWorkshops 2024. All Rights Reserved.