Business Analytics & MIS With AI
This Business Analytics & MIS with AI course helps you develop strong data analysis and decision-making skills using modern tools. You will learn Advanced Excel, MySQL, Google Sheets, Power BI, and basic Python along with AI integration. The course focuses on practical learning, real-world projects, and dashboards to prepare you for job-ready roles in analytics and business intelligence.
ADVANCE EXCEL with AI
Excel General
- Workbook, Worksheet, Workspaces
- Row & Column Settings
- Calculation Basics in Excel
- References (Relative, Absolute, Mixed)
- Find & Replacing Data
- Header & Footer setting
- Auditing, Freeze Panes
- Autofill, Autocorrect, Autoformat
- Working with Charts
Excel Functions
- Logical Functions: (if, Nested if, AND, OR, NOT, XOR, False, True etc)
- Date and Time Functions: (Date, Day, Now, Today, Month, Year, Time, Weekday etc)
- Information functions: Cell, Error, Isnumber, Iseven, Istext, Type, etc.
- Data Base Functions: (DSUM, DMAX, DMIN, DCOUNT, etc)
- Math & Trignomatry Functions: (Rand, Round, MOD, SUMIF, LCM etc)
- Statistical Functions: ( Average, COUNTIF, MAX, MIN, Count, Countblank, etc)
DATA ANALYSIS IN EXCEL (ADVANCE EXCEL)
- If And Analysis, What if Analysis
- Goal Seek, Solver, Scenarios
- Naming Cell Range (Local and Global)
- Protecting sheet & workbook
- Importing and Exporting Data
- Grouping and Subtotal
- Macro (recording tool)/EDITING
- Customizing Sheet/Cells /Rows/Columns
- Customizing Excel Window
- Sorting and Filtering Data, Advance Filter
- Data Validation
- Pivot Table, Pivot Chart, Power Query
- Consolidation of Sheets
- H Lookup, V Lookup, X Lookup
- RD CALCULATION
- Printing Worksheet, Custom List
- Working with Excel CSV files
- Making Excel to PDF file
# LIVE PROJECT ON BULK DATA
- Creating Reports with Bulk Data
- Loan Sheet Preparation (PPMT, IPMT, PMT)
- Use of AI (ChatGPT) to boost productivity
MySQL DATABASE
DBMS Terminologies
Relational Database
Introduction to MySQL
SQL Data Types
SQL Constraints
Integrity Constraints
SQL Operators
- Arithmetic Operators
- Relational Operators
- String Operators
Creating Tables based On Integrity Constraints
Altering Table
- Adding New Fields
- Changing Existing Fields
Customizing Table
- Creating Table from Other Table
- Creating Duplicate Table
- Renaming a Table
- Renaming an Attribute
Insert, Update, Delete
Select Command
Where (Retrieval of Specific Rows)
Working With Expressions
Checking Multiple Conditions (And, Or, Not Operator)
Exists, Not Exists
Between, Not Between
- SQL Functions
- Aggregate Functions,
- Arithmetic Functions
- Character/String Functions
- Numeric Functions
- Date and Time Functions
- Control Flow Function
Arranging Records (Order By)
Grouping Results (Group By)
Placing Conditions on Groups (Having Clause)
Table Aliases
MySQL Joins
- Inner Join
- Left Outer Join
- Right Outer Join
- Outer Join
- Cross Join, Self Join
- Unions In MySQL
MySQL Views
- creating view
- updating view
- fetching data from view
Sub-Queries and Nested Queries
Stored Procedures & Functions
Windows Functions in MySQL
Indexes in MySQL
Grant and Revoke
Data Export and Import
GOOGLE SHEETS with AI
Introduction to Google Sheets
- What is Google Sheets?
- Differences from Excel
- Navigating the interface
- Creating and saving your first sheet
Basic Spreadsheet Skills
- Entering and formatting data
- Working with rows, columns, and cells
- Using basic formatting tools (bold, alignment, colors)
- Undo/redo, copy/paste, and autofill
Basic Functions and Formulas
- Introduction to formulas
- Common functions: SUM, AVERAGE, MIN, MAX, COUNT
- Cell references: relative absolute
Organizing and Managing Data
- Sorting and filtering
- Freezing rows/columns
- Hiding/unhiding rows/columns
- Data validation (dropdowns)
Working with Multiple Sheets
- Adding, renaming, and linking sheets
- Cross-sheet references
- Using IMPORTRANGE for data from other files
Intermediate Formulas
- IF, IFS, AND, OR
- VLOOKUP and HLOOKUP
- INDEX and MATCH
Charts and Visualization
- Creating charts (bar, line, pie, combo)
- Customizing chart appearance
- Using sparklines
Collaboration and Sharing
- Sharing settings and permissions
- Commenting and suggesting
- Version history and restoring versions (Advanced Level: Automation & Analysis) Advanced Data Functions
- QUERY function deep dive
- Pivot tables: creation and customization
- Conditional formatting with custom formulas
Data Import & Cleanup
- IMPORTDATA, IMPORTXML, IMPORTHTML
- Text functions (SPLIT, JOIN, TRIM, TEXT, SUBSTITUTE)
- Cleaning messy datasets
Introduction to Scripting
- Introduction to Google Apps Script
- Automating tasks with simple scripts
Real-World Projects
- Sales dashboard
- Team task manager
- Analytics report with visualizations
Power Bi (Data Visualization & Reporting) with AI
- Uses Of Power Bi, Components Of Power Bi
- Comparison Of Power Bi Version, Data Model And Importance Of Data Modeling
- Data Sources: How to connect and import data from different sources (Excel etc)
Power BI Desktop and Data Transformation
- Data Sources in Power BI Desktop, Loading Data in Power BI Desktop
- Views in Power BI Desktop, Query Editor In Power BI
- Transform, Clean, Shape, and Model Data
- Manage Data Relationship, Editing a Relationship
- Cross Filter Direction, Saving Workfile, Measures
Data Analysis Expression (DAX)
- Introduction and Importance to DAX, Data Types in DAX
- DAX Calculation Types, Steps to Create Calculated Columns
- Measures in DAX, DAX Syntax, DAX Functions, DAX Operators, DAX Tables and Filtering
Data Visualization
- Introduction to Visuals In Power BI, Visualization Charts in Power BI
- Matrixes and Tables, Slicers and Map Visualizations
- Gauges and Single Number Cards, Modifying Colors in Charts And Visuals
- Shapes, Text Boxes, and Images, Custom Visuals
- Page Layout and Formatting, Bookmarks and Selection Pane, KPI Visuals, Z-order, Grouping and Binding
Power BI Service
- Introduction to Power BI Service
- Creating a Dashboard, Configuring a Dashboard, Quick Insights in Power BI
- Power BI Q&A, Ask Questions about your Data
- Power BI Embedded, Bookmarks and buttons
- Creating Reports and Dashboards: Building reports by combining visualizations into a cohesive layout and creating interactive dashboards for data exploration
An Introduction to Python Coding
- Variables, Data Types, Operator
- Condition Checking
- An Introduction to Looping
- An Introduction Lists and Strings
Why Choose This Course
This course is ideal for building strong analytical and data-driven decision-making skills. It covers industry-relevant tools like Advanced Excel, MySQL, Power BI, and Google Sheets with AI integration. With practical training, live projects, and real business case studies, you gain hands-on experience. The program is designed to make you job-ready for roles like Data Analyst, MIS Executive, and Business Analyst across multiple industries.
- Certification provided after successful course completion
- Multiple career opportunities in analytics and MIS roles
- Strong focus on dashboards, reporting & business insights
- Beginner-friendly with step-by-step learning approach
- Job-oriented curriculum focused on practical skills
Frequently Asked Questions
Students from commerce, management, IT, or any graduate interested in analytics can join.
No prior coding knowledge is required. Basic Python is taught from beginner level.
Yes, it starts from basics and gradually moves to advanced concepts.
Yes, it includes live projects, dashboards, and real-world case studies.
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