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Business Analytics

Join the program and get the opportunity to learn under the guidance of a Business Analytics specialist.

4.8 out of 5 based on 50 reviews

Business Analytics

Business Analytics is a cutting-edge field that empowers individuals to make data-driven decisions, enhancing business performance and strategic planning. This comprehensive course is designed to provide participants with a deep understanding of analytical tools and techniques used to derive actionable insights from complex datasets. Participants will gain hands-on experience with industry-standard tools like Tableau, Power BI, Excel, SQL, and Python, enabling them to create compelling dashboards, perform advanced statistical analyses, and build predictive models to forecast business trends.

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Total 4 Modules ( Click For Details )

MODULE 1 : ADVANCE EXCEL
1. 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
2. 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)
3. 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
  • 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 WORK
  • Creating Reports, Marks sheet etc
  • Loan Sheet Preparation (PPMT, IPMT, PMT)
  • ChatGPT for EXCEl (AI)
MODULE 2 : SQL USING MySQL
  • DBMS Terminologies
  • Relational Database
  • Introduction to MySQL
  • MySQL Data Types
  • MySQL Constraints
  • MySQL 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
  • MySQL 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
MODULE 3 : POWER BI
1. Power Bi
  • 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)
2. 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
3. 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
4. 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
5. 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
MODULE 4 : AN INTRODUCTION TO PYTHON CODING
  • Variables, Data Types, Operator
  • Condition Checking
  • An Introduction to Looping
  • An Introduction to List and Strings
  • Python Libraries

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