Data Analytics Foundations
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  • What is Data Analytics? Roles & Career Paths
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Data Analytics Workflow & Industry Use Cases
  • Understanding Structured & Unstructured Data
  • Tools Used in Real-World Analytics Projects
Excel for Data Analysis
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  • Excel Interface & Data Formatting
  • Formulas & Functions (SUM, IF, VLOOKUP, XLOOKUP)
  • Data Cleaning Techniques
  • Conditional Formatting
  • Sorting, Filtering & Data Validation
  • Pivot Tables & Pivot Charts
  • Dashboard Creation using Excel
SQL for Data Analytics
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  • Database Concepts & SQL Setup
  • Data Types & Constraints
  • CRUD Operations
  • Filtering, Sorting & Aggregations
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries & Nested Queries
  • Window Functions
  • Case Statements
  • Performance Optimization Basics
Python for Data Analysis
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  • Python Setup & Environment
  • Variables, Data Types & Control Flow
  • Working with Lists, Tuples & Dictionaries
  • NumPy for Numerical Computations
  • Pandas for Data Manipulation
  • Data Cleaning & Preprocessing
  • Handling Missing & Duplicate Data
  • Exploratory Data Analysis (EDA)
Statistics for Data Analytics
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  • Descriptive Statistics (Mean, Median, Mode)
  • Measures of Spread (Variance, Standard Deviation)
  • Probability Basics
  • Normal Distribution
  • Correlation & Covariance
  • Hypothesis Testing
  • Confidence Intervals
  • Business Interpretation of Statistics
Data Visualization
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  • Data Visualization Principles
  • Matplotlib & Seaborn
  • Bar, Line, Pie & Histogram Charts
  • Heatmaps & Boxplots
  • Storytelling with Data
  • Designing Insightful Dashboards
Power BI / Tableau
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  • BI Tool Introduction & Setup
  • Connecting Data Sources
  • Data Modeling
  • DAX / Calculated Fields
  • Interactive Dashboards
  • Filters, Slicers & Drill-downs
  • Publishing & Sharing Reports
Real-World Data Analytics Projects
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  • Sales & Revenue Analysis
  • Customer Segmentation
  • Marketing Campaign Performance Analysis
  • Financial Data Analysis
  • Exploratory Data Analysis on Large Datasets
Capstone Project
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  • End-to-End Data Analytics Project
  • Problem Statement & Data Collection
  • Data Cleaning & EDA
  • Insights & Visualization Dashboard
  • Final Presentation & Business Insights