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.

Ready to Take the Next Step in Your Career?

Join our expert-led training program, gain industry-recognized skills, and move closer to your professional goals. Seats are limited — enroll today!

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