Business Analytics Online Live Class by Experts
Our Training/Internship Process
Business Analytics - Syllabus, Fees & Duration
Business Analytics Course Syllabus (60 Hours)
Mode: Live Online / Offline
Level:
Beginner to Intermediate
Certification: Yes
Placement Assistance: Included
Module 1: Introduction to Business Analytics (3 Hours)
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What is Business Analytics?
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Importance of data-driven decision making
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Types of analytics: Descriptive, Predictive, Prescriptive
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Analytics in different business functions (HR, Marketing, Finance)
Module 2: Statistics and Data Interpretation (6 Hours)
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Basic statistics: mean, median, mode, range, standard deviation
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Probability concepts
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Data distribution and sampling
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Hypothesis testing
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Use of Excel/SPSS for basic statistics
Module 3: Excel for Business Analytics (6 Hours)
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Advanced Excel functions: VLOOKUP, HLOOKUP, INDEX-MATCH
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PivotTables, PivotCharts
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Conditional formatting, What-If analysis
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Excel Dashboards for data visualization
Module 4: SQL for Data Extraction (6 Hours)
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Introduction to relational databases
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Writing queries: SELECT, WHERE, GROUP BY, JOIN
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Aggregation and filtering data
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Real-time data extraction exercises
Module 5: Data Visualization (6 Hours)
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Importance of visualization in analytics
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Introduction to Tableau / Power BI
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Charts, filters, dashboards
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Visual storytelling with data
Module 6: Predictive Analytics & Forecasting (9 Hours)
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Linear regression
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Logistic regression
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Time series forecasting
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Model evaluation techniques (R², RMSE)
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Use of tools: Excel, Python (optional introduction)
Module 7: Business Intelligence Concepts (5 Hours)
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ETL process overview
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BI systems in enterprises
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KPIs & performance metrics
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Case studies from domains: retail, finance, healthcare
Module 8: Real-Time Projects & Capstone (10 Hours)
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Project planning & requirement gathering
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Work on real datasets
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Build a dashboard/report
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Present findings to a panel
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Individual or group project submission
Module 9: Career Preparation & Certification (3 Hours)
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Resume building with analytics skills
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Mock interview & Q&A
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Job roles in business analytics
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Final test & certification issue
Tools Covered
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Microsoft Excel (Advanced)
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SQL (MySQL/PostgreSQL)
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Tableau / Power BI
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Optional: Basics of Python for analytics
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 60 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsHybrid.com
- Training/Internship Certificate
- Adelaide
- Albany
- Alice Springs
- Armidale
- Ballarat
- Bathrust
- Bendigo
- Brisbane
- Bunbury
- Busselton
- Cairns
- Canberra
- Central Coast
- Darwin
- Devonport
- Dubbo
- Geelong
- Geraldton
- Gold Coast
- Goulburn
- Hobart
- Launceston
- Lismore
- Melbourne
- Melton
- Mildura
- Newcastle
- Nowra
- Orange
- Perth
- Rockhampton
- Shepparton
- Sydney
- Tamworth
- Toowoomba
- Townsville
- Warrnambool
- Wollongong
Course Highlights
Our Locations
Nestsoft’s Business Analytics Course is designed to equip learners with the analytical tools and decision-making skills needed in today’s data-driven business environment.
Students will learn to interpret data, apply statistical techniques, build dashboards, and use predictive models for informed decision-making. The course covers essential topics like descriptive and inferential statistics, data visualization, business intelligence, and the basics of predictive analytics. Delivered through live interactive sessions by industry experts, it includes a capstone project, certification, and placement assistance for eligible candidates. This 60-hour program combines theory with hands-on training in Excel, SQL, Tableau/Power BI, and real-world business scenarios to help you turn data into actionable insights.
Whether you’re a student, professional, or entrepreneur, this course is ideal for anyone looking to enhance their analytical thinking and career prospects.
Start your journey to becoming a data-savvy decision-maker and gain a competitive edge in the business world. 
