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Professional Diplomas

Choose a structured 12-month Professional Diploma.

Each diploma combines course sequencing, weekly practice, real projects, guided learning options, and portfolio outcomes tied to a clear career direction.

Role-focused sequencing
Portfolio outcomes
Support-tier choice

Diploma decision support

Use Professional Diplomas when you want structure across multiple courses.

Compare target roles, duration, course sequence, and portfolio proof before choosing a support level and starting your application.

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Available Professional Diplomas

Role-focused routes, mapped by every course inside.

Compare each Professional Diploma by the exact courses, projects, and support structure that move you toward a role. The diploma is the stronger commitment when you want the sequence, not just one isolated skill.

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Start by school, then compare the full curriculum and portfolio outcomes.

2 diplomas shown

School of Data & AIBeginner to Intermediate6 diploma courses

Data Analytics

Become a practical data analyst who can clean, analyze, visualize, and communicate business data using Excel, SQL, Python, Power BI, and real-world analytics projects.

Target role

Data Analyst, BI Analyst

Duration

12 months · 6–10 hours/week

Support

Choose your learning support level

View Professional Diploma
  1. 1
    Diploma only2 weeksBeginner

    Data Foundations

    Build the essential foundation for working with data, understanding business problems, and preparing for tools like Excel, SQL, Python, Power BI, machine learning, AI, and data engineering.

    Understand how data is used to solve real business problems.
    Available through the diploma so the work stays connected to the full outcome.
    Understand how data is used to solve real business problems.Explain the difference between data, reports, dashboards, insights, and decisions.Understand the major roles across analytics, data science, AI, and data engineering.Identify common tools used by modern data teams.
    View course outline
  2. 2
    Short Course + Diploma6 weeksBeginner to Intermediate

    Excel for Data Analytics

    Master the Excel skills used by data analysts to clean, organize, calculate, summarize, visualize, and report business data with confidence.

    Clean and organize messy spreadsheet data.
    Can be started alone, then compounded inside the full diploma.
    Clean and organize messy spreadsheet data.Use essential Excel formulas for analysis and reporting.Apply lookup functions to connect and enrich datasets.Build pivot tables for fast business summaries.
    View course
  3. 3
    Short Course + Diploma8 weeksIntermediate

    Power BI for Business Intelligence

    Learn to connect, clean, model, measure, visualize, and present business data using Power BI.

    Connect Power BI to different data sources.
    Can be started alone, then compounded inside the full diploma.
    Connect Power BI to different data sources.Clean and transform data using Power Query.Build effective data models and table relationships.Write DAX measures for business reporting.
    View course
  4. 4
    Short Course + Diploma7 weeksBeginner to Intermediate

    SQL for Data Analytics

    Learn the SQL skills data analysts use to extract, filter, join, group, and analyze data from relational databases.

    Understand tables, columns, rows, keys, and relationships.
    Can be started alone, then compounded inside the full diploma.
    Understand tables, columns, rows, keys, and relationships.Write SQL queries to retrieve business data.Filter, sort, and structure query results.Join data across multiple tables correctly.
    View course
  5. 5
    Short Course + Diploma8 weeksBeginner to Intermediate

    Python for Data Analytics

    Learn Python for real analytics work: data cleaning, exploration, transformation, automation, and visual insight generation.

    Write Python code for data analysis tasks.
    Can be started alone, then compounded inside the full diploma.
    Write Python code for data analysis tasks.Use notebooks for structured exploratory analysis.Import CSV, Excel, and structured data files.Clean missing, duplicated, inconsistent, and messy data.
    View course
  6. 6
    Diploma only6 weeksIntermediate

    Data Analytics Studio

    Apply Excel, SQL, Python, Power BI, and storytelling to complete end-to-end analytics projects for your portfolio.

    Translate business problems into clear analytics questions.
    Available through the diploma so the work stays connected to the full outcome.
    Translate business problems into clear analytics questions.Plan an end-to-end analytics project.Choose the right tool for each stage of analysis.Clean, query, analyze, visualize, and present real datasets.
    View course outline
School of Data & AIBeginner to Intermediate5 diploma courses

Data Science & Machine Learning

Build practical data science and machine learning skills by learning Python, statistics, data preparation, model training, evaluation, interpretation, and end-to-end data science projects.

Target role

Data Scientist, Applied ML Engineer, Analytics Scientist

Duration

12 months · 6–10 hours/week

Support

Choose your learning support level

View Professional Diploma
  1. 1
    Diploma only2 weeksBeginner

    Data Foundations

    Build the essential foundation for working with data, understanding business problems, and preparing for tools like Excel, SQL, Python, Power BI, machine learning, AI, and data engineering.

    Understand how data is used to solve real business problems.
    Available through the diploma so the work stays connected to the full outcome.
    Understand how data is used to solve real business problems.Explain the difference between data, reports, dashboards, insights, and decisions.Understand the major roles across analytics, data science, AI, and data engineering.Identify common tools used by modern data teams.
    View course outline
  2. 2
    Short Course + Diploma8 weeksBeginner to Intermediate

    Python for Data Analytics

    Learn Python for real analytics work: data cleaning, exploration, transformation, automation, and visual insight generation.

    Write Python code for data analysis tasks.
    Can be started alone, then compounded inside the full diploma.
    Write Python code for data analysis tasks.Use notebooks for structured exploratory analysis.Import CSV, Excel, and structured data files.Clean missing, duplicated, inconsistent, and messy data.
    View course
  3. 3
    Diploma only6 weeksBeginner to Intermediate

    Statistics for Data Science

    Build the statistical foundation needed to understand data, measure uncertainty, test assumptions, interpret patterns, and prepare for machine learning.

    Understand the role of statistics in data science and decision-making.
    Available through the diploma so the work stays connected to the full outcome.
    Understand the role of statistics in data science and decision-making.Use descriptive statistics to summarize datasets.Understand probability, uncertainty, and variation.Interpret distributions, outliers, and data spread.
    View course outline
  4. 4
    Diploma only8 weeksIntermediate

    Applied Machine Learning

    Apply machine learning to realistic datasets through feature engineering, model selection, evaluation, tuning, interpretation, and project presentation.

    Frame real-world problems as machine learning tasks.
    Available through the diploma so the work stays connected to the full outcome.
    Frame real-world problems as machine learning tasks.Prepare datasets for modeling.Create and select useful features.Train and compare multiple machine learning models.
    View course outline
  5. 5
    Diploma only8 weeksIntermediate

    Data Science Studio

    Complete end-to-end data science projects that combine problem framing, data cleaning, exploration, statistics, visualization, modeling, evaluation, storytelling, and presentation.

    Plan end-to-end data science projects.
    Available through the diploma so the work stays connected to the full outcome.
    Plan end-to-end data science projects.Frame business or product problems as data science questions.Clean, explore, and prepare real datasets.Apply statistics and visualization to understand patterns.
    View course outline
Compare paths

Different diploma routes, same standard of practical evidence.

Use the comparison to choose based on target role, diploma duration, support model, and portfolio outcome.

Professional Diploma
School of Data & AIBeginner to Intermediate6 courses

Data Analytics

Become a job-ready data analyst with practical tools and portfolio projects.

From ₦250,000
Data Analyst, BI Analyst
12 months · 6–10 hours/week
Clean, structure, and analyze business data., Use Excel for spreadsheet analysis and reporting.
School of Data & AIBeginner to Intermediate5 courses

Data Science & Machine Learning

Learn the practical path from data analysis to machine learning.

From ₦320,000
Data Scientist, Applied ML Engineer, Analytics Scientist
12 months · 6–10 hours/week
Use Python for data cleaning, exploration, and analysis., Apply statistics to understand data, uncertainty, and patterns.
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