ACLM Institute of Professional Studies

Advanced MIS Training - Online Courses & Certifications

06 MonthsOnline / OfflineAdvancedACLM CertificationACLM Certification

COURSE OVERVIEW

Course Overview

ACLM Institute of Professional Studies presents Advanced MIS Training - Online Courses & Certifications, a six-month advanced programme focused on data analysis, reporting, dashboard development, automation and management information systems. The course combines Advanced Excel, VBA, SQL, Tableau or Power BI, and Python tools including Pandas and XLRD. Through instructor-led learning, guided case studies and practical projects, participants learn to work with complex datasets, connect multiple databases, customise reports and build functional automated dashboards. The programme is available online for learners in India and international markets. ACLM also lists Online / Offline as a training mode, with offline delivery locations in Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR.

WHY THIS COURSE

Why Learn This Course?

Modern organisations depend on accurate, timely and well-presented information for operational and business decisions. This course develops the practical ability to collect, clean, analyse, automate and visualise data using widely used MIS and business intelligence tools. Learners gain an integrated understanding of spreadsheets, databases, programming and dashboards rather than studying reporting tools in isolation. The programme is especially useful for professionals moving towards MIS and data analysis responsibilities, as well as power users who want to build practical office-based applications.

LEARNING OUTCOMES

What You Will Learn

Advanced Excel techniques for analysis, reporting and model building.
VBA fundamentals and practical macro-based automation for recurring MIS work.
SQL querying, filtering, joining and aggregation across relational data.
Working with multiple databases and preparing data for reporting.
Python foundations for data analysis using Pandas and XLRD.
Data cleaning, transformation and validation for reliable reports.
Dashboard design and visual analytics using Tableau and Power BI.
Automation and integration of spreadsheet, database and visualisation workflows.
Analysis of complex datasets and preparation of management-ready insights.
Customisation of reports and dashboards according to business requirements.
Practical applications of RPA concepts in reporting and data processes.

SKILLS

Skills You Will Gain

RPA-oriented process thinking
Data analysis
Data automation
MIS reporting
Advanced spreadsheet modelling
VBA macro development
SQL data extraction
Database integration
Python data handling with Pandas
Excel-file processing with XLRD
Dashboard design
Tableau and Power BI visualisation
Complex dataset analysis
Report customisation
Automation workflow planning

WHO SHOULD JOIN

Who Should Join?

The programme is designed for freshers who wish to build a career in data analysis; professionals from diverse fields who want to shape their career into MIS; data architects who want to develop dynamic applications; and power users who want to build software-like applications using office and data tools.

PREREQUISITES

Prerequisites

Basic knowledge of Excel, SQL and Power BI will be an added advantage. The course is advanced in level, but learners can use the programme to organise and strengthen their practical understanding across the covered technologies.

TRAINING APPROACH

Training Methodology

ACLM Institute of Professional Studies follows an instructor-led methodology supported by practical demonstrations, guided exercises, case-based assignments and project work. The supplied training methodology includes Online One-on-One and Offline Group Training. The current course offering is online, with online access intended for learners in India and international markets. Offline delivery is listed for Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR where applicable.

CURRICULUM

Detailed Course Syllabus

Module	Topics / Lessons
Module 1: MIS, Data Analysis and Reporting Foundations Establish the role of MIS in operational reporting and introduce the end-to-end flow from source data to decision-ready information.	Understanding MIS and the Reporting Lifecycle — Explore MIS concepts, reporting objectives, data sources, users, reporting frequency and the difference between raw data, information and insight. 90 min Data Quality, Validation and Documentation — Identify common data-quality problems, define validation checks and document assumptions, fields and reporting rules. 90 min Designing a Reporting Requirement — Translate a business request into measures, dimensions, filters, outputs and acceptance criteria for a practical MIS report. 90 min
Module 2: Advanced Excel for MIS Develop advanced spreadsheet capability for analysis, reconciliation, modelling and professional report preparation.	Advanced Formulas and Lookup Strategies — Apply nested logic, conditional calculations, lookup approaches and error handling to structured MIS datasets. 120 min Data Preparation with Excel Tools — Clean, standardise, sort, filter and validate data while preparing reusable tables for analysis and reporting. 120 min Pivot-Based Analysis and Reconciliation — Use pivot analysis, grouping, calculated fields and reconciliation methods to summarise large operational datasets. 120 min Dynamic MIS Report Design — Build flexible report layouts with controls, linked summaries and user-focused presentation conventions. 120 min
Module 3: VBA and Excel Automation Use VBA to reduce repetitive work and create maintainable automation for recurring MIS processes.	VBA Environment, Objects and Procedures — Understand the VBA editor, workbook and worksheet objects, variables, procedures and basic programming structure. 120 min Working with Ranges, Loops and Conditions — Read and write worksheet data, use loops and conditions, and process records systematically. 120 min Automating Imports, Formatting and Outputs — Create macros for data preparation, standard formatting, report refresh and output generation. 120 min Error Handling and Maintainable Macros — Add validation, error handling, clear naming and documentation so that automation can be reviewed and reused. 120 min
Module 4: SQL and Database Reporting Build the database skills required to retrieve, combine and summarise data for MIS and analytical reporting.	Relational Data and Database Structures — Understand tables, keys, relationships, fields and the role of a database in reporting workflows. 90 min SQL Filtering, Sorting and Aggregation — Write queries using selection, filtering, sorting, grouping and aggregate functions to answer reporting questions. 120 min Joins, Subqueries and Data Combination — Combine related tables, handle unmatched records and use subqueries to build useful reporting datasets. 150 min SQL-Based MIS Dataset Preparation — Create reliable query outputs for recurring reports, including date handling, calculated fields and validation checks. 120 min
Module 5: Python for Data Analysis Introduce Python-based data preparation and analysis for learners working with spreadsheets and structured datasets.	Python Foundations for Analysts — Work with basic Python syntax, variables, collections, conditions, loops and functions in an analytical context. 120 min Pandas DataFrames and Data Inspection — Load structured data, inspect columns and records, select data and examine quality issues using Pandas. 150 min Cleaning, Transformation and Aggregation — Handle missing values, standardise fields, transform columns, group records and create analytical summaries. 150 min XLRD and Spreadsheet-Oriented Data Handling — Understand the role of XLRD in spreadsheet-file processing and organise spreadsheet data for analysis workflows. 90 min Exporting Analytical Results — Prepare clean outputs for downstream reporting, dashboard use or stakeholder review. 90 min
Module 6: Tableau and Power BI Visualisation Develop practical visualisation and dashboard skills for communicating trends, comparisons and performance measures.	Visual Analytics Principles — Select suitable charts, define meaningful measures and avoid misleading presentation of business data. 90 min Connecting and Preparing Data for Visualisation — Connect reporting data, review field types, organise dimensions and measures, and prepare a usable analytical model. 120 min Building Interactive Reports — Create views with filters, calculated values, drill-downs and interactive controls for guided analysis. 150 min Dashboard Layout and User Experience — Design clear dashboards with logical hierarchy, consistent formatting and audience-specific navigation. 120 min Tableau and Power BI Workflow Comparison — Understand common reporting tasks across Tableau and Power BI and select an appropriate workflow for a reporting requirement. 90 min
Module 7: Automation, Integration and RPA-Oriented Workflows Combine the course technologies into structured, repeatable processes for data automation and reporting operations.	Mapping a Repetitive Reporting Process — Document inputs, activities, decisions, outputs and exceptions in a recurring MIS process. 90 min Integrating Excel, SQL and Python — Plan how spreadsheet, database and Python-based steps can work together in a controlled reporting workflow. 120 min Refresh, Validation and Exception Management — Design refresh routines, quality checks, exception logs and review points before reports are released. 120 min Automation Governance and Handover — Organise documentation, ownership, version control and user instructions for maintainable reporting automation. 90 min
Module 8: Capstone MIS Application Apply the complete learning sequence to a practical project involving data preparation, analysis, automation, integration and dashboard reporting.	Capstone Requirement and Data Design — Define the reporting objective, identify data sources, establish measures and plan the solution architecture. 120 min Build the Data and Automation Layer — Prepare source data, create SQL or Python transformations and automate repeatable processing steps. 180 min Develop and Customise the Dashboard — Build a functional dashboard, apply audience-specific filters and customise the report according to requirements. 180 min Testing, Presentation and Project Review — Validate outputs, explain assumptions, present findings and review opportunities for further automation or integration. 150 min

HANDS-ON EXPERIENCE

Practical Projects

Automated MIS Reporting System — Create a recurring MIS reporting workflow that imports operational data, applies validation and transformation rules, produces summary metrics and generates a management-ready report. The project emphasises repeatability, accuracy and customisation. Tools: Advanced Excel, VBA, SQL
Multi-Source Data Integration and Dashboard — Combine data from multiple database or file sources, prepare a consistent analytical dataset and build an interactive dashboard for trend, category and performance analysis. Learners customise views for different reporting requirements. Tools: SQL, Python, Pandas, XLRD, Tableau or Power BI
RPA-Oriented Reporting Automation — Map a repetitive reporting process, identify suitable automation steps, design an exception and validation approach, and demonstrate how data collection, processing and report distribution can be organised into a repeatable workflow. Tools: Excel, VBA, Python, SQL, Tableau or Power BI

CAREER APPLICATION

Career Opportunities

The skills developed in this programme can support work involving MIS reporting, data analysis, dashboard creation, reporting automation, business intelligence support, database reporting and data operations. The course is relevant to learners preparing for responsibilities such as MIS Executive, Reporting Analyst, Data Analyst, Business Intelligence Support Analyst and Automation-focused Reporting Professional; actual role requirements vary by organisation and experience.

CERTIFICATION

Certification

A Certificate of ACLM Institute of Professional Studies will be awarded on successful completion of the course. The course information also identifies Microsoft Office Specialist, Python for Data Analyst and Tableau Desktop certification-related learning takeaways; any external certification or examination is subject to the respective certification provider's requirements and is not represented as an ACLM-awarded certificate.

FAQ

Frequently Asked Questions

What is the duration of Advanced MIS Training?

The course duration is 06 months.

Is this course available online?

Yes. The course is offered online and is intended for learners in India and international markets. ACLM also lists Online / Offline as a training mode, with offline locations in Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR.

Who should take this course?

It is intended for freshers interested in data analysis, professionals moving towards MIS, data architects developing dynamic applications and power users building practical office-based applications.

What technologies are covered?

The course covers Advanced Excel, VBA, SQL, Tableau or Power BI, and Python with Pandas and XLRD. It also addresses RPA, data analysis, data automation, reporting and integration.

Are prerequisites required?

Basic knowledge of Excel, SQL and Power BI will be an added advantage. These are recommended foundations for following the advanced course comfortably.

Will I work on practical projects?

Yes. Practical work includes RPA-oriented process design, reporting automation, data integration, dashboard development and a capstone MIS application.

Will I receive a certificate?

A Certificate of ACLM Institute of Professional Studies will be awarded on successful completion of the course.

What training methodology does ACLM use?

The stated methodology is instructor-led training, Online One-on-One learning and Offline Group Training, supported by practical exercises and project work.

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