About This Programme
The complete data analytics pathway — everything in the 6-Week Programme plus SQL for querying databases, Python for advanced analysis and automation, and an introduction to machine learning. By the end you will have a portfolio of real projects and the skills to apply for junior data analyst, BI analyst, and data science roles.
Payment plans available — split into 3 or 6 monthly instalments. Contact us for details.
What's Included
- ✓Everything in the 6-Week Programme (Excel, Power BI, data cleaning, dashboards)
- ✓SQL — writing queries to extract and analyse data from relational databases
- ✓Python for data analysis — pandas, NumPy, matplotlib and seaborn
- ✓Data wrangling with Python — merging, reshaping, aggregating datasets
- ✓Statistical analysis and hypothesis testing
- ✓Machine learning fundamentals — supervised and unsupervised learning
- ✓Building predictive models with scikit-learn
- ✓End-to-end data projects added to your professional portfolio
- ✓Advanced DAX formulas and Power BI enterprise features
- ✓Live instructor-led sessions, session recordings, and dedicated tutor support
- ✓CPD-certified completion certificate
Programme Modules
1
Weeks 1–6 — Excel, Power BI & Data Cleaning
- Full 6-Week Programme content (see above)
- Excel: formulas, functions, PivotTables, dashboards
- Power BI: reports, dashboards, Power Query and DAX basics
- Data cleaning and quality management
2
Weeks 7–10 — SQL for Data Analysis
- Relational databases: tables, keys, relationships
- SELECT, WHERE, GROUP BY, ORDER BY, HAVING
- Joins: INNER, LEFT, RIGHT, FULL OUTER
- Subqueries, CTEs and window functions
- Analysing real business datasets using SQL
3
Weeks 11–16 — Python for Data Analysis
- Python fundamentals: variables, control flow, functions
- pandas: reading, exploring and transforming DataFrames
- NumPy for numerical computation
- Data visualisation: matplotlib and seaborn charts
- Automating reports and data pipelines
4
Weeks 17–20 — Machine Learning Fundamentals
- What is machine learning and where it is applied
- Supervised learning: regression and classification
- Unsupervised learning: clustering and dimensionality reduction
- Building and evaluating models with scikit-learn
- Interpreting model results and communicating findings
5
Weeks 21–24 — Advanced Analytics & Capstone
- Advanced Power BI: enterprise features, Row-Level Security, dataflows
- Combining SQL, Python and Power BI in a single workflow
- Portfolio capstone project: full end-to-end analytics case study
- Peer review and tutor feedback session
- CPD assessment, certificate submission and career guidance
Ready to enrol?
Submit an enquiry and an advisor will call you within 24 hours, or pay online to secure your place immediately.
₦380,000one-time fee
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