KINTAVORPython · Automation and Data

Automate tasks. Understand your data. Build with Python.

Learn Python from scratch by automating tasks and analysing realistic business scenarios with synthetic datasets.

A self-paced, progressive pathway from logic and files to Excel, Pandas, SQL, APIs, reports, testing, applied AI and your portfolio.

Explore the programmeAutomate a report for free

Suggested 12-week plan · 12 months of access · Python lab in your browser

Professional working with Python, tabular data and business charts
From an untidy file to a reproducible decision.
100–120 hof learning and practice
22 modulesfrom beginner to portfolio
150 exerciseswith tests and hints
10 projectswith synthetic data

Learn by doing work you recognise.

CSV files, spreadsheets, reports, folders, queries and business data replace abstract exercises without context.

Every automation starts with a simulation, preserves the original, validates inputs and records evidence. AI-generated code also receives human review, testing and validation.

PythonExcel and CSVPandasSQLReportsSafe automation

22 modules with a clear progression.

Written lessons connect explanations, short code examples, practice, tests and reflection. Some advanced activities require local Python.

  1. 01

    Foundations and environment

    1. Introduction to Python and automation
    2. Environment, VS Code and Jupyter
    3. Variables, types and operators
    4. Conditions and loops
  2. 02

    Data structures and maintainable code

    1. Lists, dictionaries and sets
    2. Functions, modules and packages
    3. Files, paths and safe automation
    4. Errors, logging and debugging
  3. 03

    Text, Excel and quality

    1. Regular expressions
    2. CSV, Pandas and OpenPyXL
    3. Data cleaning and quality
    4. Analysis with Pandas and NumPy
  4. 04

    Analysis and integrations

    1. Matplotlib, Seaborn and Plotly
    2. SQL and SQLite
    3. APIs and JSON
    4. PDFs and documents
  5. 05

    Professional delivery

    1. Reports and controlled email
    2. Testing, configuration and secrets
    3. AI-assisted coding
    4. Git, documentation and portfolio
  6. 06

    Project and pathways

    1. Integrated final projects
    2. Data analysis, data engineering, backend and AI

Unsure where to start? The diagnostic assessment recommends a pathway without restricting content.

Take the diagnostic test

Practice that remembers your progress.

The learning platform saves progress, notes, favourites, bookmarks and a personal error notebook.

150
exercises in completing, correcting, testing, interpreting and designing
250
original questions with explanations and recommendations
11
ten assessments by topic and one final assessment
1
local lab with a console, reset, saving and tests

Ten complete business projects.

Scenario, objective, data, stages, guided version, challenge, hints, tests, rubric, solution, mistakes, improvements and a portfolio document.

  1. 01

    Safe file renamer

    Inventory, simulation, confirmation and a reversible log.

  2. 02

    Folder organiser

    Controlled classification without deleting or overwriting.

  3. 03

    Excel consolidation

    Cleaning, a common schema and a quality report.

  4. 04

    Sales report

    Monthly metrics, alerts and reproducible output.

  5. 05

    Customers and products

    Segmentation, repeat business, margin and concentration.

  6. 06

    PDF extraction

    Structured extraction from authorised digital documents.

  7. 07

    SQL and analysis

    Parameterised queries, transactions and results.

  8. 08

    API and report

    Timeouts, validation, pagination, caching and traceability.

  9. 09

    Dashboard

    Accessible charts, context and export.

  10. 10

    Complete pipeline

    Input, validation, cleaning, analysis, charts and a report.

Explore the portfolio approach

Start in the browser. Go further with local Python.

The included Pyodide engine runs CPython WebAssembly and the standard library without sending your code to the server.

Activities involving real files, advanced Excel, Pandas, NumPy, charts, PDFs, APIs and pytest include downloadable alternatives for a local environment. The platform does not claim unverified WebAssembly compatibility.

  1. 1
    WriteEditor with your latest saved code
  2. 2
    RunIsolated Web Worker
  3. 3
    ValidateAutomated tests
  4. 4
    LearnHints, solution and notebook
Security boundary: learner Python code never runs on Hostinger. File operations use simulation and confirmation.
Code and dashboard for an automated report

Free mini-course: automate an Excel report.

Three lessons, a synthetic dataset, five exercises, a lab, visual output, a diagnostic assessment and a recommended pathway.

  • Practical value
  • A focused introduction to the full course
  • Excel-compatible CSV
  • Verifiable result
Open the mini-course

A server-side AI tutor with limits and judgement.

It uses the lesson, exercise or project context and offers hints before a solution.

It can explain code, analyse tracebacks, highlight risks and suggest tests. It records usage without retaining unnecessary information and limits messages, tokens and cost.

It does not execute code and can make mistakes. It remains disabled until an OpenAI key is configured on the server.

One payment. Twelve months to practise.

Course, lab, projects, assessments, configurable tutor and a private certificate.

£77.15launch price£111.47 standard price
  • One-off payment
  • One account and one main browser or device
  • No live classes or subscription
  • Stripe Checkout keeps your bank details off KINTAVOR
Purchase access

Frequently asked questions

Clear expectations before you decide.

Can I start from scratch?

Yes. The course begins with logic and environment setup. The first activities use only the standard library, then progress towards data and automation.

Where does the code run?

Compatible exercises run in your browser with Pyodide. Hostinger never executes learner code. Activities involving advanced files or libraries run with local Python.

Do Pandas and OpenPyXL work in the lab?

That compatibility is not promised. The included runtime contains CPython WebAssembly and the standard library. Pandas, NumPy, OpenPyXL, Matplotlib, Seaborn, Plotly, Requests and pytest are used in a verified local environment.

Are there live classes?

No. This is fully online, self-paced training with written lessons, a lab, exercises, assessments, projects and progress tracking.

What does the AI tutor do?

It explains, offers hints, reviews code and tracebacks, and suggests tests. It does not execute code, can make mistakes and remains disabled until a server-side key is configured.

Is the certificate official?

No. It is a private KINTAVOR certificate of completion and does not constitute an official qualification or professional experience.

Is employment or income guaranteed?

No. The course develops skills and projects but does not guarantee employment, salary, clients or financial results.

How long does access last?

Twelve months from payment confirmation. The duration, prices and limits can be changed in administration for future purchases.

Private training and responsible use.

KINTAVOR provides private training. Its own certificate is unofficial. Employment or income is not guaranteed. External services may require accounts or incur costs. Datasets are synthetic. Do not automate access, data extraction or communications without authorisation; respect privacy, intellectual property, terms of service and applicable law.

Last updated: 13 August 2026.