Free · Professional Certificate · Job-ready

Data Analytics using Python

“From raw data to boardroom-ready insight — the complete analyst's workflow.”

A complete, hands-on, international-standard data analytics programme. Learn to collect, clean, explore, visualise and communicate data using industry tools — Python, Pandas, SQL, Power BI and Tableau — and finish with a portfolio-ready capstone. Aligned with the IBM Data Analyst and Google Data Analytics professional certificates. No prior coding experience required.

📜 Aligned with: IBM Data Analyst Professional Certificate · Google Data Analytics Certificate · BCS Data Analysis guidelines

10 Modules
120+ Hours
9 Projects
Yes Certificate
Python 3PandasNumPyMatplotlibSeabornPlotlySQLPower BITableauStreamlitJupyterGit & GitHub
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What you'll be able to do

Automate data collection, cleaning and reporting with Python
Explore any dataset with confident EDA and statistics
Visualise insights and ship interactive dashboards
Query databases with professional-grade SQL
Report with Power BI / Tableau for executives
Forecast business metrics with predictive models

Course syllabus

Ten modules take you from your first line of Python to a portfolio-ready capstone. Work at your own pace.

🐍
Module 1
Python Foundations for Analytics
Start

Set up a professional analyst's environment and write clean Python for reading files, automating reports and version control.

⏱ 10 hrs Beginner
📥
Module 2
Data Collection & Ingestion
Start

Source data from spreadsheets, databases, web pages and live APIs, and bring it into Python for analysis.

⏱ 10 hrs Beginner–Intermediate
🧹
Module 3
Data Wrangling with Pandas
Start

Turn messy, inconsistent data into analysis-ready tables: cleaning, merging, grouping, reshaping and time-series handling.

⏱ 14 hrs Intermediate
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Module 4
Exploratory Data Analysis (EDA)
Start

Profile, summarise and uncover patterns: descriptive statistics, outliers, correlation and automated profiling.

⏱ 12 hrs Intermediate
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Module 5
Data Visualisation
Start

Choose the right chart and design it well with Matplotlib, Seaborn and Plotly — then ship an interactive Streamlit dashboard.

⏱ 14 hrs Intermediate
📐
Module 6
Statistics for Data Analytics
Start

Make confident, defensible conclusions: distributions, hypothesis testing, confidence intervals and A/B testing.

⏱ 12 hrs Intermediate
🗄️
Module 7
SQL for Analysts
Start

Write professional SQL — joins, subqueries, CTEs and window functions — and run it from Python with SQLAlchemy.

⏱ 12 hrs Intermediate
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Module 8
Business Intelligence & Reporting
Start

Frame KPIs and build executive dashboards in Power BI and Tableau; automate Excel reports with Python.

⏱ 12 hrs Intermediate–Advanced
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Module 9
Predictive Analytics Fundamentals
Start

Business-focused forecasting: regression, simple classification, model evaluation and time-series forecasting — explained in plain English.

⏱ 10 hrs Advanced
🎯
Module 10
Capstone Prep & Career Readiness
Start

The end-to-end analytics workflow, a GitHub portfolio, case-study interviews, and your data-analyst job roadmap.

⏱ 14 hrs Advanced
🏆
Capstone Project & Professional Assessment

Take a real dataset end-to-end — collect, clean, explore, visualise and present — and submit a portfolio-ready project with a written report and a short recorded walkthrough.

Who this course is for

  • Aspiring data analysts with little or no coding experience
  • Business, finance, operations and marketing professionals who work with data
  • Students and graduates building a job-ready analytics portfolio
  • Excel users ready to step up to Python, SQL and BI tools