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      Data Science Business Intelligence

      Data Science & Business Intelligence Master Program

      • 11 Module
      • Certifications(Digital, Physical)

      Experts Institute – Complete Curriculum

      📘 Module 1: Advanced Excel

      TopicDescription
      Overview of Excel BasicsUnderstand Excel interface, navigation, and fundamental operations
      Mathematical FunctionsUse SUM, AVERAGE, COUNT, MAX, MIN, and other math functions
      Text Functions & Data ValidationWork with text manipulation (LEFT, RIGHT, MID, CONCATENATE) and validate data inputs
      Statistical & Logical FunctionsApply statistical functions and logical operators (IF, AND, OR, NOT)
      Lookup & Reference FunctionsMaster VLOOKUP, HLOOKUP, XLOOKUP, INDEX, and MATCH
      Working with ReportsCreate professional reports with formatting and layouts
      Data Analysis & VisualizationAnalyze data and create charts, graphs, and visualizations
      Projects (Dashboard Creation)Build interactive dashboards using Excel

      📘 Module 2: SQL (Structured Query Language)

      TopicDescription
      What is Database?Understand database concepts, types, and architecture
      Basics of SQLLearn SELECT, INSERT, UPDATE, DELETE statements
      Views and IndexingCreate views for data abstraction and indexing for performance
      ConstraintsApply PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK constraints
      Built-in FunctionsUse string, numeric, date, and aggregate functions
      Joins and SetsMaster INNER, LEFT, RIGHT, FULL joins, UNION, and INTERSECT
      SubqueriesWrite nested queries for complex data retrieval
      Stored ProceduresCreate reusable database logic with stored procedures
      Advanced Window FunctionsUse ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG, and more
      SQL TriggersUnderstand trigger syntax and usage
      CTE (Common Table Expressions)Write recursive and non-recursive CTEs
      Dynamic QueryBuild and execute dynamic SQL queries

      📘 Module 3: Power BI Desktop & Power Query

      TopicDescription
      Getting StartedIntroduction to Power BI interface and navigation
      Transforming DataClean, shape, and transform data using Power Query
      Introduction to Modeling DataCreate relationships and data models
      Creating Calculated Columns & TablesAdd calculated columns and tables using DAX
      Power BI Service & VisualizationsPublish reports, create visuals, and use Power BI Mobile
      Get DataConnect to various data sources (Excel, SQL, Web, etc.)
      Basic DAXWrite basic DAX formulas for calculations
      Advanced DAXMaster complex DAX – CALCULATE, FILTER, ALL, and time intelligence
      Artificial Intelligence VisualsUse AI-powered visuals – Q&A, Decomposition Tree, Key Influencers
      Power BI ServicesManage workspaces, datasets, reports, and dashboards

      📘 Module 4: Tableau

      TopicDescription
      Introduction to TableauUnderstand Tableau’s importance and applications
      Data Connection and ImportConnect to various data sources and import data
      Basic Visualization TechniquesCreate bar, line, pie, scatter, and area charts
      Advanced Visualization TechniquesUse table calculations, LOD expressions, and forecasting
      Dashboard Design PrinciplesApply best practices for dashboard design
      Interactive Dashboard FeaturesUse filters, parameters, and actions for interactivity

      📘 Module 5: ChatGPT

      TopicDescription
      Advanced ChatGPT Features & WorkingUnderstand ChatGPT architecture, capabilities, and limitations
      Account Creation and Use CasesSet up ChatGPT accounts and explore use cases
      Integration of ChatGPT with Various PlatformsIntegrate ChatGPT with Excel, Power BI, and other tools
      Practical Applications & Case StudiesApply ChatGPT for data analysis, report generation, and automation

      📘 Module 6: Azure Fundamentals

      TopicDescription
      Introduction to Cloud Computing ModelsUnderstand IaaS, PaaS, and SaaS models
      High Availability and ScalabilityLearn about HA, scalability, and redundancy in the cloud
      Security and GovernanceUnderstand cloud security, IAM, and governance
      Azure Services OverviewExplore Compute, Storage, Networking, Databases, and AI services
      Practical Examples of Deploying SolutionsDeploy solutions on Azure with hands-on examples

      📘 Module 7: Git and GitHub

      TopicDescription
      Branching StrategiesLearn Feature Branching, Git Flow, and other strategies
      Collaborative WorkflowsUse Pull Requests, Code Reviews, and team collaboration
      GitHub Actions and AutomationAutomate CI/CD pipelines with GitHub Actions
      Git Best PracticesFollow version control best practices
      Managing Large ProjectsHandle large projects with Git and GitHub effectively

      📘 Module 8: Statistics

      TopicDescription
      Introduction to ProbabilityUnderstand basic probability concepts and rules
      Descriptive StatisticsMean, Median, Mode, Variance, Standard Deviation, and more
      Inferential StatisticsHypothesis testing, confidence intervals, and regression
      Probability DistributionNormal, Binomial, Poisson, and other distributions

      📘 Module 9: Python Programming

      TopicDescription
      Introduction to Python ProgrammingSetup, syntax, and basic operations
      Control StatementsIf-else, loops (for, while), and control flow
      Python Lists and TuplesWork with lists and tuples for data storage
      FunctionsDefine functions, return values, and lambda functions
      Python DictionariesUse dictionaries for key-value data
      Python ProjectsBuild real-world Python projects
      NumPy, Pandas, Matplotlib, SeabornData manipulation and visualization libraries
      Data PreprocessingClean, transform, and prepare data for analysis
      Python Object-Oriented Programming (OOP)Classes, objects, inheritance, and polymorphism

      📘 Module 10: Machine Learning Introduction

      TopicDescription
      Introduction to AI, ML, and DLUnderstand the relationship between AI, ML, and Deep Learning
      DefinitionsLearn key ML terminology and concepts
      Supervised LearningRegression and classification algorithms
      Unsupervised LearningClustering and association algorithms
      Reinforcement LearningLearn from environment and rewards
      Deep Learning AlgorithmsNeural Networks, CNN, RNN, and more

      📘 Module 11: Cloud Computing

      TopicDescription
      Introduction to Cloud ComputingUnderstand cloud computing basics
      Microsoft AzureExplore Azure services and solutions

      🎯 Key Skills You Will Gain

      Skill AreaKey Takeaways
      📊 Data AnalysisAnalyze and interpret complex data
      🗄️ Database ManagementQuery databases using SQL
      📈 Data VisualizationCreate dashboards with Power BI and Tableau
      🐍 Python ProgrammingAutomate tasks and build data solutions
      🤖 Machine LearningBuild predictive models and AI solutions
      ☁️ Cloud ComputingDeploy solutions on Microsoft Azure
      🔄 Version ControlManage code with Git and GitHub
      🤝 ChatGPT IntegrationUse AI for data analysis and automation
      📐 StatisticsApply statistical methods for data insights

      🛠️ Tools & Technologies Covered

      Tool / TechnologyPurpose
      Microsoft ExcelData analysis and dashboards
      SQLDatabase querying
      Power BIBusiness intelligence and visualization
      TableauData visualization
      PythonProgramming and automation
      NumPy / PandasData manipulation
      Matplotlib / SeabornData visualization
      Scikit-LearnMachine Learning
      Microsoft AzureCloud computing
      Git / GitHubVersion control
      ChatGPTAI-powered assistance
      Jupyter NotebookInteractive coding

      🏆 Career Opportunities After This Course

      Job RoleAverage Salary (India)
      Data Analyst₹5–12 LPA
      Business Intelligence Analyst₹6–15 LPA
      Data Scientist₹8–25 LPA
      Machine Learning Engineer₹8–25 LPA
      Data Engineer₹7–20 LPA
      BI Developer₹6–14 LPA
      Cloud Engineer₹8–22 LPA
      Python Developer₹5–15 LPA
      Analytics Consultant₹10–22 LPA

      ✅ Who Should Enroll?

      • Students & Freshers – Build a career in data science and analytics

      • Working Professionals – Up-skill for better opportunities

      • IT Professionals – Transition into data roles

      • Business Analysts – Enhance data analysis skills

      • Entrepreneurs – Make data-driven business decisions

      • Career Switchers – Move into high-demand tech roles

      📚 Projects You Will Build

      ProjectDescription
      Interactive Excel DashboardSales/HR/Finance dashboard
      SQL Database ProjectDesign and query a database
      Power BI DashboardBusiness KPI dashboard
      Tableau DashboardInteractive data story
      Python Data AnalysisAnalyze and visualize data
      Machine Learning ModelBuild a predictive model
      Azure Cloud DeploymentDeploy an app on Azure
      GitHub PortfolioBuild a professional portfolio

      📜 Certifications You Can Pursue

      CertificationProvider
      Microsoft PL-300: Power BI Data AnalystMicrosoft
      Tableau Desktop SpecialistTableau
      Python Institute Certifications (PCEP, PCAP)Python Institute
      Microsoft Azure Fundamentals (AZ-900)Microsoft
      Google Data Analytics Professional CertificateGoogle
      IBM Data Science Professional CertificateIBM

      “Mastered the skills? Proven your expertise? Now get the recognition you deserve – Excellence Accreditation from Experts Institute. A trusted mark of quality and credibility.”

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