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Advanced Diploma in Data Analytics Data & Analytics

Advanced Diploma in Data Analytics

This year-long advanced diploma builds a complete, employable data-analytics skill set. You'll master Excel, SQL, and visualisation tools like Power BI, learn to clean and analyse real datasets, and build dashboards and reports that drive decisions. It's a thorough, project-heavy programme for a genuine analytics career.

Duration
1 Year
Format
Live 1-on-1
Level
Professional
Certificate
1. Osian 2. NSDC 3. Microsoft
Overview

What this course is about

Develop an end-to-end understanding of how organisations use data to make decisions. This Advanced Diploma in Data Analytics is taught through live 1-on-1 online classes, where your personal teacher connects business questions with data preparation, analysis and communication. You learn to move from an unclear question to a clean dataset, a defensible analysis and a recommendation that a non-technical manager can understand.

The curriculum combines Excel for practical analysis, SQL for querying relational data, statistics for interpreting patterns, Python basics for repeatable work, and Power BI or Tableau for visual storytelling. Projects cover cleaning data, joining tables, calculating summaries, comparing segments, checking assumptions and building dashboards. You also practise documenting methods so another person can follow your reasoning. You also practise concise data notes.

This broader data analytics course for freshers is useful when you want more than one reporting tool. A project portfolio can include an Excel analysis, SQL business query, Python notebook and interactive dashboard, with teacher feedback at each stage. Osian Academy provides a completion certificate. These outputs support interview discussion.

By the end

What you’ll be able to do

  • Analyse business data with structured Excel formulas, pivots and charts
  • Query, filter, join and summarise relational data using SQL
  • Apply descriptive statistics to compare groups and interpret variation
  • Use Python basics to clean data and repeat simple analytical tasks
  • Build dashboards in Power BI or Tableau with meaningful measures
  • Present findings, limitations and recommendations in a clear portfolio
Syllabus

How the course flows

  1. 1
    Data FoundationsModule 1

    Data types, spreadsheets and thinking analytically.

  2. 2
    Querying & WranglingModule 2

    Pulling and cleaning data with SQL and tools.

  3. 3
    VisualisationModule 3

    Dashboards in Power BI / Tableau that tell a story.

  4. 4
    Statistics & InsightModule 4

    Core statistics and drawing sound conclusions.

  5. 5
    Analytics ProjectModule 5

    An end-to-end analysis on a real dataset.

Toolkit

Tools you’ll use

  • Excel
  • SQL
  • Power BI
  • Tableau
  • Python (pandas)
Audience

Who this course is for

  • Freshers seeking a broad data analytics course for entry-level roles
  • Graduates from commerce, science, engineering or business backgrounds
  • Excel users who want SQL, Python and dashboard capability
  • Working professionals transitioning towards reporting or analyst work
  • Entrepreneurs who need a structured way to interpret business data
Where it leads

Roles this opens up

  • Junior Data Analyst

    Clean, query and summarise datasets before communicating practical findings to a team.

  • Business Analyst Trainee

    Translate business questions into metrics, analysis steps and evidence-based recommendations.

  • Reporting and MIS Analyst

    Combine Excel, SQL and dashboards to maintain recurring operational and management reports.

Questions

Before you enrol

No prior coding is required, although comfort with spreadsheets is useful. Python is taught at a practical beginner level, while SQL and statistics are introduced through business examples.

A laptop with a browser, spreadsheet software, a SQL practice environment and Python notebook setup is recommended. The teacher will guide installation and may use Power BI or Tableau according to the project setup.

You can build a connected portfolio covering Excel analysis, SQL queries, a Python data cleaning exercise and a Power BI or Tableau dashboard. The emphasis is on explaining the question, method, finding and recommendation.

The programme mirrors common junior work: preparing files, querying data, checking patterns, maintaining dashboards and explaining results. Placement support includes resume help, mock interviews and referrals, but no job outcome is guaranteed.

The diploma covers a wider analytics workflow across Excel, SQL, statistics, Python basics and visualisation. The Power BI course goes deeper into Power Query, modelling, DAX, dashboard design and publishing.

It is an Osian Academy professional course with a certificate on completion, not a university degree. It does not claim to include official Microsoft, Tableau or Python certification.