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Data Science and Analytics Internship

8 short weeks. Free. Start any date.

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By Wartens Ltd (UK), delivered through EDWartens.

Six boxes in order: ask, collect, clean, explore, model and tell, with a note that the loop repeats.
  • Free
  • Online
  • Any start date
  • 1 to 8 weeks

Who it suits

Made for beginners.

You do not need to code yet. If you can use a spreadsheet you can start, and the course moves step by step from sheets to Python and SQL.
  • Students of commerce, management, statistics, computer science and engineering.
  • Anyone who wants to turn a messy table into a clear answer and a simple dashboard.
  • Read the notes on a phone, a tablet or a laptop.
The same small downtime table shown as a spreadsheet and as a pandas DataFrame with column names and rows numbered from zero.

What you will learn

Eight weeks, one picture each

Every week is open from day one. Each lesson takes a few minutes.
  1. Six boxes in order: ask, collect, clean, explore, model and tell, with a note that the loop repeats.

    Week 1

    The data science workflow and the questions data answers

    Turn a vague worry into a sharp question, name the six steps of a data project and say what a tidy table looks like.

  2. The same small downtime table shown as a spreadsheet and as a pandas DataFrame with column names and rows numbered from zero.

    Week 2

    Spreadsheets to Python (Colab, pandas)

    Run a notebook in Google Colab, load a table into a pandas DataFrame and repeat your spreadsheet sums, sorts and filters in code.

  3. Six cleaning steps in order: raw copy, types and units, duplicates, missing values, outliers and a log.

    Week 3

    Cleaning and preparing data

    Find missing values, duplicates, wrong units and outliers in a table, fix them in a fixed order and keep a log of every change.

  4. Five repair times on a number line where the large value of 32 pulls the mean to 10 while the median stays at 5.

    Week 4

    Exploratory analysis and statistics

    Summarise a column with the mean, median and standard deviation, compare groups with a group-by, and say what a number does and does not tell you.

  5. Five order rows where the two rows with region North are kept by WHERE and the other three are dropped.

    Week 5

    SQL for analysis

    Write SELECT queries that filter with WHERE, sort, calculate, and summarise with GROUP BY, and say what each result should look like before you run it.

  6. Four questions matched to a chart: a line for change over time, a bar for which is bigger, a big number for a total, a stacked bar for share.

    Week 6

    Visualising data and dashboards

    Choose a chart from the question being asked, avoid charts that mislead, and build a clear three-chart dashboard in Looker Studio or Google Sheets.

  7. Two panels: describing data tells what happened, predicting uses a model to estimate what is likely next.

    Week 7

    From analysis to prediction (a first model)

    Fit a first linear regression, read its slope and R squared, and say honestly what the model can and cannot tell you.

  8. Six boxes: question, data, method, findings, limits and advice, with a note to keep it to one or two pages.

    Week 8

    Telling the story and the analysis report (mini project)

    Turn an analysis into a short report with a question, data, method, findings, limits and a clear recommendation.

A vague question about tips is sharpened into a specific one and checked for specific, measurable and useful.

Practice, if you like

Analyse a real table, then check your answer.

Each week ends with a worked exercise on a small dataset, with the answer or a good result given. Skip them if you prefer.
  • Free tools: Google Colab, Google Sheets, Looker Studio and Power BI Desktop (free, Windows).
  • Small datasets that load quickly.
  • A mini project in week 8: an analysis report with a clear story.
  • Best on a laptop or tablet. A phone works for reading.
Six cleaning steps in order: raw copy, types and units, duplicates, missing values, outliers and a log.
Five order rows where the two rows with region North are kept by WHERE and the other three are dropped.

Your pace

Choose a start date and a length.

We show your weekly plan. You can change it later.

Any length from 1 to 8 weeks. Start on any date from today. Retry the weekly checks and the final quiz as often as you like.

Plan my internship
Five repair times on a number line where the large value of 32 pulls the mean to 10 while the median stays at 5.

Certificate and documents

Want proof? Add it later.

Free learners keep full access. A verifiable certificate of completion is an optional paid document, issued by Wartens Ltd (UK). Anyone can check it with the QR code or number.
Two panels: describing data tells what happened, predicting uses a model to estimate what is likely next.
How verification works

Questions

Quick answers

Is the Data Science and Analytics Internship really free?

Yes. Joining is free and so are all eight weeks, the weekly checks and the final quiz. You pay only if you choose an optional add-on.

How long can I take?

This internship runs for 1 to 8 weeks. You pick a start date and can change your plan later. All eight weeks are open from day one, so a short plan moves fast and a long one gives you room.

What do I need?

A laptop or tablet, a free Google account for Colab, Sheets and Looker Studio, and a free AI assistant to explain what you do not follow. Every tool used is free or has a free tier, so there is nothing to buy. The notes also read well on a phone.

What will I actually do?

You read short notes with diagrams, watch a few videos and take an easy check each week. Each week ends with a worked exercise, such as cleaning a column, grouping with pandas, writing a SQL query or building a chart. Week 8 ends with a short analysis report for a reader who is not a data person.

What do I get at the end?

A certificate of completion is an optional paid document, issued by Wartens Ltd (UK). It has a QR code and a number, so anyone can verify it at edwartens.com/verification. The lessons stay free, and you can finish without buying anything.

Is this a paid position?

No. It is training, not employment. Nothing is paid to you, and nothing here promises work with any company.

Who wrote the course?

OFORO, the Wartens AI company, wrote the notes and exercises. OFORO builds the AI behind Wartens' engineering and training work. The internship is run by Wartens Ltd (UK) and delivered through EDWartens.

What about privacy and wrong answers?

Data work often touches people's details, so the course teaches you to remove or mask them first and to use practice data only. AI can write plausible but wrong code and wrong conclusions, so you check every result against the data. Never paste personal, client or confidential data into a public chatbot.

Your first lesson is free.

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  • No card to start
  • Start any date
  • Verify with a QR code
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