Business Analytics Program | Students, Graduates and Working Professionals

Don't Just Learn Analytics. Learn to Think Like an Analyst.

Build the skills to clean data, uncover insights, create meaningful dashboards, and understand how businesses use data to make better decisions.

A smarter learning sequence:

ExcelPower BISQL

Understand data transformation first. Master visual analytics next. Learn SQL when you're ready to understand the code behind it.

Explore the Curriculum

The real skill

Knowing the tool is one thing. Knowing what to do with the data is another.

Before · tools without process

  1. Data is scattered across files.
  2. Values are inconsistent and difficult to analyse.
  3. Reports show numbers without explaining what matters.
  4. Learners memorise features without understanding the underlying process.

Our teaching methodology

We Don't Teach Analytics in the Usual Order. And There's a Reason.

Excel first. Power BI next. SQL after that.

Many analytics courses introduce SQL immediately after Excel. At Binalytic Solutions, we take a different approach. We first help learners understand how data is cleaned, transformed, and analysed. Once the concepts are clear, SQL syntax becomes much easier to learn.

  1. 01

    Advanced Excel

    Understand the data.

    Learn to organise, clean, validate, and prepare datasets. Build a strong foundation in working with real-world data before moving into more advanced analytics tools.

  2. 02

    Power BI

    Understand transformation and analysis.

    Use Power Query's visual interface to learn data cleaning and transformation concepts without being distracted by SQL syntax. Then progress into data modelling, DAX, visualisation, dashboards, and business insights.

  3. 03

    SQL

    Learn the syntax behind familiar operations.

    Filtering, grouping, joining and transforming data are not entirely new at this stage. Now you learn how to express those familiar operations in SQL syntax.

Understand the logic first. Learn the syntax second.

By the time you reach SQL, you already understand many of the concepts behind it. You're not starting from scratch—you're learning how to express familiar operations in SQL.

SQL becomes easier when you already understand the data you're working with.

Build your analytical foundation, whatever your starting point.

  • 01

    Students and Graduates

    Develop practical analytical skills that complement your academic knowledge.

  • 02

    MBA and Management Students

    Understand how data supports business decisions, reporting, performance analysis, and management discussions.

  • 03

    Finance and Business Professionals

    Strengthen your ability to work with data, analyse performance, and communicate financial or operational insights.

  • 04

    Working Professionals

    Develop structured analytical skills that can be applied to reporting, dashboards, and everyday business problems.

Three tools. One connected analytical skill set.

ExcelPower BISQL
  • 01Data organisation and cleaning
  • 02Formulas and lookup functions
  • 03Conditional calculations
  • 04PivotTables and PivotCharts
  • 05Data validation and error handling
  • 06Power Query fundamentals
  • 07Reporting and dashboard creation

Proposed curriculum outline. Topics may be refined for each batch; ask a course advisor for the current syllabus.

From raw data to a business decision.

Tools serve a larger analytical process. Select a stage to explore it.

Stage 1 of 5

Define the problem

Identify the business question.

Example

Which regions missed their quarterly sales target, and why?

Curriculum

A structured path from fundamentals to practical analysis.

Modules follow the order that makes the concepts click:

ExcelPower BISQL

    • Understanding business questions.
    • Structured versus unstructured data.
    • Data quality and analytical thinking.
    • Understanding the data-analysis lifecycle.

    • Cleaning and preparing datasets.
    • Formulas and lookup functions.
    • PivotTables and reporting.
    • Power Query and transformation concepts.

    • Data preparation using Power Query.
    • Data modelling.
    • DAX fundamentals.
    • Reports, dashboards, and visual storytelling.

    • Relational database concepts.
    • Filtering, sorting, and aggregation.
    • Joins and combining datasets.
    • Querying data to answer business questions.

    • KPI interpretation.
    • Finding trends and exceptions.
    • Communicating insights.
    • Translating analysis into business recommendations.

    • Work through a business problem.
    • Prepare and analyse a dataset.
    • Create a report or dashboard.
    • Present findings and recommendations.

Learn by solving business problems.

Illustrative learning projects—examples of the kind of work you could complete in the program.

Project preview · illustrative

ExcelPower BI

Sales Performance Analysis

  • Clean transaction data.
  • Compare sales across products, regions, and time periods.
  • Identify performance patterns.

Learn it. Practise it. Build with it. Apply it.

  1. 01

    Learn

    Understand the concepts. Build a strong foundation.

  2. 02

    Practise

    Work with realistic datasets. Develop practical skills.

  3. 03

    Build

    Create dashboards, models, and analytical solutions.

  4. 04

    Apply

    Solve business problems. Turn insights into action.

Your instructor

Taught the way analysts actually think.

Classes at Binalytic Solutions focus on practical teaching, clear explanations and concept-first learning—so you understand why a step matters before you learn where to click or what to type.

  • Concepts before features

    Every tool is introduced through the data problem it solves.

  • Clear explanations

    Ideas are broken down step by step, with time to ask why.

  • Practical by default

    Each concept is practised on realistic business datasets.

Questions, answered.

  • Business Analytics is the practice of using data to understand performance and support better decisions. It involves preparing data, analysing it, presenting the findings clearly, and interpreting what they mean for the business.

  • Students and graduates, MBA and management students, finance and business professionals, and working professionals who want to work with data more confidently in reports, dashboards and everyday decisions.

  • No. The program starts with analytical thinking and Excel, and introduces SQL only after you understand the data operations behind it.

  • Basic familiarity helps, but the Excel stage begins with organising and cleaning data. If you're unsure where to start, talk to a course advisor.

  • We teach Power BI before SQL because we want learners to understand data cleaning and transformation concepts before they focus on SQL syntax. Power Query provides a visual way to practise these concepts. Once learners understand the underlying logic, SQL becomes a more natural next step.

  • Understanding how data is cleaned, structured, and transformed helps learners recognise what SQL queries are doing. Instead of memorising syntax in isolation, learners can connect queries to operations they already understand.

  • Data organisation and cleaning, formulas and lookup functions, conditional calculations, PivotTables and PivotCharts, data validation, Power Query fundamentals, and reporting and dashboards.

  • Data import and Power Query, cleaning and transformation, data modelling and relationships, DAX fundamentals, KPI design and visualisation, and interactive dashboards and reports.

  • Relational database fundamentals, SELECT and filtering, sorting and aggregation, GROUP BY and HAVING, joins, and writing queries that answer business questions.

  • Yes. The program is built around working with realistic datasets and ends with an integrated analytics project where you prepare data, build a report or dashboard, and present your findings.

  • Batch schedules and duration are shared on enquiry. Please talk to a course advisor or message us on WhatsApp for the current details.

  • Fees are shared on enquiry. Please talk to a course advisor or message us on WhatsApp for the current details.

  • No. The program develops relevant analytical skills, but it does not guarantee employment, a salary, or a particular career outcome.

  • Use “Get the Business Analytics Curriculum” on this page to send an enquiry, or message us on WhatsApp. We'll get back to you with the details.

ExcelPower BISQL

Ready to Build Your Analytical Skill Set?

Start with the fundamentals. Learn to transform and analyse data. Then understand how SQL brings those concepts into code.

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