Advanced Business Analytics

  • High Demand In Business Roles: Business analytics is in demand because companies need professionals who can analyze data, track kpis, prepare reports, and support strategic decisions.
  • Useful For Multiple Backgrounds: Business analytics is suitable for learners from commerce, management, computer science, and non-technical backgrounds because it focuses on business problem-solving.
  • Build Strategic Decision-making Skills: Learners understand how to convert business data into insights, dashboards, forecasts, reports, and practical growth recommendations.
4 Months ₹37,999 ₹29,999
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Advanced Business Analytics
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Course Overview

Business Analytics is the use of data, dashboards, statistics, reporting, forecasting, and business intelligence to solve business problems and support strategic decision-making. This 4 months course helps learners build advanced Business Analytics skills using Excel, SQL, Power BI, Python basics, KPI tracking, business reporting, data visualization, forecasting, business intelligence, strategic analysis, and industry-level business case projects.

Course with Live Project

No Refund Available

advanced business data analysis: learners analyze business data related to sales, revenue, customers, finance, marketing, operations, and performance using practical analytics tools.

kpi dashboards and bi reporting: the course focuses on excel dashboards, power bi reports, kpi tracking, interactive visuals, business intelligence, and executive-level reporting.

Industry-level Business Case Projects: Develop Practical Projects Like Startup Growth Analytics, Marketing Performance Intelligence, Multi-department Kpi Analytics, And Retail Demand Analysis Systems.

Course Content

  • • understanding business analytics fundamentals
  • • exploring types of business analytics
  • • learning data driven decision making
  • • understanding business intelligence concepts
  • • exploring business problem solving methods
  • • understanding kpi and metrics systems
  • • learning analytics workflow stages
  • • setting up analytics environment

  • • understanding excel interface tools
  • • cleaning and organizing business data
  • • using logical excel functions efficiently
  • • applying vlookup and xlookup usage
  • • creating pivot tables and pivot charts
  • • using advanced excel formulas
  • • applying conditional formatting rules
  • • building interactive excel dashboards
  • • tracking business kpis in excel
  • • creating business performance reports

  • • understanding database management concepts
  • • writing basic to advanced sql queries
  • • filtering and sorting data efficiently
  • • using aggregate functions in sql
  • • working with group by queries
  • • understanding sql joins and relationships
  • • using subqueries for analysis
  • • working with window functions
  • • creating analytical business reports
  • • solving real business data problems

  • • learning python programming basics
  • • understanding variables and data types
  • • working with conditional statements
  • • using loops for data processing tasks
  • • creating functions and modules
  • • handling files and data inputs
  • • managing errors and exceptions
  • • using python libraries for analytics
  • • writing efficient analytical code

  • • understanding numpy array operations
  • • performing mathematical data operations
  • • using pandas for business data analysis
  • • working with dataframes efficiently
  • • reading csv and excel files
  • • cleaning and transforming datasets
  • • handling missing values properly
  • • performing exploratory data analysis
  • • extracting business insights from data

  • • understanding mean median mode concepts
  • • learning variance and standard deviation
  • • exploring probability in business decisions
  • • understanding correlation between variables
  • • identifying business trends in data
  • • applying statistical thinking
  • • understanding forecasting basics
  • • measuring business performance metrics

  • • understanding data visualization concepts
  • • creating charts and graphs for reports
  • • using matplotlib and seaborn basics
  • • building kpi dashboards for business
  • • creating interactive visual reports
  • • presenting business insights clearly
  • • designing professional dashboards
  • • data storytelling techniques

  • • understanding power bi interface
  • • importing and transforming data
  • • creating interactive dashboards
  • • using power query editor tools
  • • building data models in power bi
  • • using dax functions for analysis
  • • creating kpi performance dashboards
  • • publishing and sharing reports
  • • building business intelligence systems

  • • understanding business intelligence concepts
  • • analyzing sales and revenue data
  • • understanding customer behavior analysis
  • • creating business performance reports
  • • identifying market trends
  • • developing business strategies
  • • supporting decision making systems
  • • real world business case analysis

  • • understanding predictive analytics concepts
  • • learning forecasting techniques
  • • predicting sales and demand trends
  • • understanding regression basics
  • • identifying future business patterns
  • • supporting strategic planning
  • • business growth prediction models

  • • solving real business case problems
  • • analyzing customer purchase behavior
  • • marketing campaign performance analysis
  • • financial performance evaluation
  • • retail business data analysis
  • • creating business insight reports
  • • presenting actionable recommendations

  • • marketing analytics evaluation
  • • business forecasting exercise
  • • strategic kpi development
  • • multi-department data analysis
  • • business intelligence reporting
  • • startup growth analytics dashboard
  • • marketing performance intelligence system
  • • multi-department kpi analytics

Skills Developed with Business Analytics Course

Business Data Analysis: Analyze sales, revenue, customer behavior, finance, marketing, operations, and business performance datasets.
Advanced Excel For Business Analytics: Learn formulas, lookup functions, pivot tables, pivot charts, conditional formatting, dashboards, and kpi tracking.
Sql For Business Reporting: Work with sql queries, filtering, sorting, aggregate functions, group by, joins, subqueries, window functions, and business reports. power bi dashboard development: learn data import, power query, data modeling basics, kpi cards, slicers, filters, visuals, dax basics, and report publishing.
Python For Business Analytics: Learn python basics, pandas basics, data cleaning, csv handling, automation tasks, and business data processing.
Kpi And Metrics Tracking: Understand business kpis related to sales, revenue, customers, marketing, finance, operations, and business growth.
Statistics For Business Decisions: Understand mean, median, mode, variance, standard deviation, correlation, probability, trend analysis, and forecasting basics. business intelligence reporting: prepare sales reports, financial summaries, customer reports, department reports, performance dashboards, and executive summaries.
Forecasting And Trend Analysis: Learn sales forecasting, demand prediction basics, trend analysis, business growth patterns, and future performance estimation.
Business Analytics Project Skills: Practice cleaning data, analyzing business problems, building dashboards, generating insights, documenting findings, and presenting recommendations.

Career Opportunities after Business Analytics Course

This course opens doors to multiple high-demand career paths across industries.

Business Analyst:

Analyze business problems, prepare reports, track kpis, and suggest improvements for business performance.

Business Intelligence Analyst:

Build dashboards, kpi reports, data models, and business intelligence visuals using excel, sql, and power bi.

Marketing Analyst:

Analyze campaign performance, customer behavior, roi, sales funnels, marketing trends, and customer acquisition metrics.

Financial Analyst:

Work on revenue, cost, profit, budget, performance tracking, financial reporting, and business decision support.

Strategy Analyst:

Use data insights, forecasts, and business reports to support growth planning, market analysis, and strategic decision-making.

Why Enroll in Business Analytics with Solitaire Learning?

Advanced Practical Business Analytics Training: The course starts from excel, sql, power bi, and business data basics, then moves toward bi reporting, forecasting, and case projects.
Industry-level Case-based Learning: Learners work on real-world projects like startup analytics, marketing intelligence, kpi dashboards, and multi-department business reports.
Industry-relevant Tools: The course covers excel, sql, power bi, python basics, kpi tracking, dashboards, forecasting, business reporting, and bi concepts.
Mentor-guided Project Support: Learners receive mentor support for concept clarity, assignments, dashboard creation, business case solving, portfolio building, and interview preparation.
Strong Career And Portfolio Preparation: The course helps learners become job-ready by covering business analytics, bi dashboards, kpi reporting, forecasting, and industry-level projects.
Frequently Asked Questions

Have Questions About This Course?

Find answers to the most common questions learners ask before enrolling.

No, coding is not mandatory for beginners in Business Analytics. The course starts from fundamentals and gradually introduces analytical tools and techniques.

No, Excel basics are covered during training sessions before moving to advanced reporting and dashboard concepts. Beginners can easily follow the learning process.

Yes, students from any educational background can join the course. The program is designed for both technical and non-technical learners.

A laptop with minimum 8GB RAM, i3/i5 processor, and stable internet connection is recommended for practical work, dashboards, and analytics tasks.

Basic analytical thinking and simple calculations are sufficient for beginners. Advanced mathematics is not required for learning business analytics concepts.

Business Analytics involves analyzing business data to improve decision-making, track performance, identify trends, and optimize business growth. It helps organizations make data-driven strategies and improve operational efficiency.

Students learn Excel, SQL, Power BI, KPI tracking, dashboards, business intelligence, forecasting, and reporting techniques. The course focuses on practical business problem-solving and analytics skills.

Yes, the course focuses on solving real business problems using data-driven analysis and reporting techniques. Students learn how companies use analytics for strategic planning and performance improvement.

Yes, students build professional dashboards using Excel and Power BI for reporting and KPI tracking. Dashboard projects help students visualize and present business insights effectively.

Yes, real-world business case studies are included for practical understanding and analytical thinking. Students learn how analytics is applied in different industries and business scenarios.

Yes, Power BI is taught practically through dashboard creation, report publishing, and business reporting exercises. Students work on real datasets for better understanding.

Yes, SQL reporting and business data analysis are important parts of the course. Students learn database queries, reporting techniques, and data extraction methods.

Yes, students work on business reports, KPI dashboards, analytics projects, and practical assignments throughout the training. These activities help improve business analysis and reporting skills.

Yes, the course is suitable for management, commerce, and technical students who want to build careers in analytics and business intelligence. No advanced technical background is required.

Yes, Business Analytics is a very good option for both technical and non-technical students. It focuses on understanding business data, creating reports, analyzing trends, and making better decisions.
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