Data Science & AI

85 self-paced programmes. Read what each one covers before you decide — every page lists the modules, who it suits and exactly what the certificate is and is not.

Programme · Certificate issued
Data Science & AI

Introduction to Data Science Certificate

This programme teaches the full beginner data workflow — asking a clear question, cleaning a messy dataset, querying it, analysing it and communicating the result — to people with no programming or statistics background. The material covers spreadsheets and CSV handling, SQL queries, descriptive statistics, charting, and a first look at regression and clustering in Python. What you receive at the end is a certificate of completion from an independent provider, not a regulated or accredited qualification.

~30 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

AI Essentials for Business Certificate

This programme teaches non-technical professionals how to use generative AI tools, mainly large language models, for everyday work such as drafting, summarising, first-pass analysis and internal search. It explains how these models actually produce output, where they fail, and how to write prompts, protect confidential data and scope a small pilot that can be measured. All study material is delivered in your secure account panel, and a completion certificate is issued once you finish the final assessment.

~10 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Machine Learning Foundations Certificate

This course walks through the full modeling loop: framing a target, engineering features inside a reproducible pipeline, fitting linear models and tree ensembles, and validating results in a way that survives contact with new data. Overfitting is treated as the central problem rather than a footnote, so every technique is paired with the diagnostic that tells you whether it actually worked. The final third covers the unlabeled case — clustering and dimensionality reduction — plus the packaging steps needed to hand a model to someone else.

~28 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Data Visualisation & Storytelling Certificate

A practical course on turning a dataset into a chart people read correctly the first time. You work through chart form selection, colour and accessibility, the anatomy of misleading graphics, uncertainty, annotation and dashboard layout, using tools such as Datawrapper, Vega-Lite, Tableau or a plain spreadsheet. Every module ends with a redesign exercise on a real, flawed chart.

~18 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

SQL for Data Analysts Certificate

A hands-on SQL program for analysts who produce the numbers other teams act on. It covers grouped reporting that survives messy joins, the full window function family, CTE-structured query pipelines, time zone-safe date logic, and a reusable suite of data quality assertions. Every module ends with query exercises written against realistic, imperfect tables.

~22 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Advanced Excel for Analytics Certificate

This course turns manual spreadsheet work into refreshable analysis models. You build a Power Query pipeline from raw exports, summarise it with PivotTables and Data Model measures, add lookup and dynamic array logic, then pressure-test the result with Data Tables, Goal Seek and Solver before running a full formula audit. Every module ends with a workbook exercise built on realistic, messy source data.

~22 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Natural Language Processing Fundamentals Certificate

A practical, end-to-end course in natural language processing: you take raw text from files and APIs, normalize and tokenize it, turn it into sparse and dense features, then train models that classify documents and extract named entities. Every module is built around working Python code with scikit-learn, spaCy and Hugging Face, and every model is judged with metrics that survive scrutiny. The final assessment asks you to deliver a complete pipeline and defend its evaluation.

~30 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Computer Vision Basics Certificate

This program walks through the working pipeline behind a vision system: turning raw image files into clean arrays, fine-tuning a pretrained network for classification, and moving from image-level labels to bounding-box detection. You practise annotation workflows in open-source tools and learn to read precision, recall and mAP curves instead of trusting one accuracy figure. The closing module is about failure: domain shift, occlusion, poor light and imbalanced classes.

~22 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

AI Ethics & Governance Certificate

Most AI governance training stops at principles. This program works the other way round: you measure disparity on a real evaluation set, run explainability on a credit-scoring model, write a model card that survives outside review, and assemble the evidence pack an auditor asks for. Every module ends with a template you keep and reuse at work.

~24 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Power BI Reporting Certificate

This program covers the full path from a raw export to a published Power BI report: shaping data in Power Query, building a star schema, and writing explicit DAX measures that hold up under filter context. You then take the model into the Power BI Service — workspace roles, row-level security, apps, gateways and incremental refresh — so the report keeps working after you hand it over to someone else.

~20 hours of material
USD 129.90 USD 179.90
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Programme · Certificate issued
Data Science & AI

Statistics for Business Decisions Certificate

This program covers the statistical work that sits behind everyday business calls: how a sample is drawn, how much uncertainty a number carries, and whether an observed difference is real or noise. You work through confidence intervals, two-group comparisons, A/B experiment design, and the specific traps — confounding, selection effects, Simpson's paradox — that turn a correlation into a false causal claim. Examples run on marketing, pricing, and operations data using spreadsheet formulas first and Python (pandas, SciPy, statsmodels) as an optional second track.

~22 hours of material
USD 129.90 USD 179.90
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Not sure which one fits?

Every programme page states who it is written for, the prerequisites and what the certificate does and does not represent. Read two or three before choosing.

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