What is CERTIFICATION IN BUSINESS ANALYTICS?
Develop industry-ready analytical and professional skills with comprehensive training in Advanced Excel, Power BI, Tableau, Python, Data Visualization, SQL Database Management, Accounting, and Digital Marketing. Learn to analyze, manage, and visualize business data using modern tools and reporting techniques for informed decision-making. Gain practical experience in dashboard creation, data analysis, database handling, and business intelligence through hands-on projects and real-world case studies. The program also includes Personality Development and Quality Management to strengthen communication, leadership, teamwork, and professional workplace skills. Designed for students, job seekers, entrepreneurs, and working professionals, this course prepares learners for careers in data analytics, business operations, reporting, finance, and digital business management.
This program is designed to take you from a complete beginner to a job-ready professional. We focus on practical skills, industry best practices, and the latest tools used by top tech companies globally.
Course Syllabus
Module 1: PYTHON
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Introduction
Variables & Data Types, Operators, Conditional Statements, Loops, Strings, Lists, Tuples, Sets & Dictionaries, Functions, File Handling, Exception Handling, Object-Oriented Programming, Modules & Packages
Module 2: SQL
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Introduction
Table Creation & Database Management, Data Manipulation Language (DML), Data Retrieval & Filtering, Aggregate Functions & Grouping, Advanced SQL Operators & Conditions, SQL Joins
Module 3: POWER BI
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Introduction
Data Connection, Power Query (Data Transformation), Data Modeling, DAX, Data Visualization, Advanced Visual Features, Interactivity & Publishing
Module 4: TABLEAU
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Introduction
Basics, Core Concepts, Visualizations, Data Handling, Mapping, Intermediate Features, Data Modeling, Dashboarding
Module 5: ADVANCED EXCEL
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Introduction
Home tab, Perform calculations with functions, Sort and filter data with excel, Formatting Cells, Insert Comments ,Define name , Conditional formatting, Pivot Tables , Pivot Charts , VLOOKUP ,Dependent drop down List, HLOOKUP, Sumif
Module 6: DATA VISUALIZATION
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Introduction
Data Visualization, Matplotlib, SEABORN, Visualization Purpose
Module 7: Digital Marketing
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Introduction
Search Engine Optimization (SEO) ,On page, Off page , Google Analytics (GA4) , Google Business Profile (Local SEO) , SMO
Frequently Asked Questions
Who can join the Business Analytics course?
Students, graduates, working professionals, and anyone interested in data analysis and business intelligence can join this course.
Are practical projects included in the training?
Yes, the course includes hands-on projects, case studies, and real-time datasets for practical learning.
What are the prerequisites for this course?
Basic knowledge of computers and mathematics is helpful, but no prior coding experience is required.
Is this course suitable for beginners?
Yes, the course is designed for both beginners and professionals.
What career opportunities are available after completing this course?
Students can apply for roles such as Business Analyst, Data Analyst, Reporting Analyst, and BI Developer.