Masterclass: Business Intelligence & Advanced Data Analytics

Learn to analyze data, generate insights, and build dashboards using modern analytics tools.

12 Weeks
Online / Offline
English & Tamil
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Course Overview

Become a master of business intelligence with our Data Analytics course. Focusing on practical tools like Excel, SQL, Tableau, and PowerBI, you will learn how to clean complex datasets, build interactive dashboards, and present compelling data narratives that help companies optimize their operations.

Skills You Will Master

Data Analysis Excel & SQL Data Visualization Statistical Analysis Python for Analytics Business Intelligence Tools

Course Curriculum

1. Introduction to Data Analytics

  • What is Data Analytics? Importance & Applications
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Role of a Data Analyst
  • Data Analytics workflow
  • Tools & Technologies: Excel, SQL, Python, R, Tableau, Power BI

2. Data Types & Data Collection

  • Types of data: Structured, Semi-Structured, Unstructured
  • Data sources: Databases, CSV, APIs, Web Scraping
  • Data quality: accuracy, completeness, consistency
  • Data collection methods & best practices

3. Excel for Data Analytics

  • Basic functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, HLOOKUP
  • Data cleaning: Remove duplicates, Text to columns, Find & Replace
  • Pivot Tables & Pivot Charts
  • Conditional Formatting
  • Data visualization in Excel: charts, graphs

4. SQL for Data Analytics

  • Introduction to relational databases
  • CRUD operations: SELECT, INSERT, UPDATE, DELETE
  • Filtering & sorting data (WHERE, ORDER BY, LIMIT)
  • Aggregation & grouping (GROUP BY, HAVING, COUNT, SUM, AVG)
  • JOINs, Subqueries, Nested Queries
  • Advanced SQL functions: Window functions, CASE statements

5. Data Cleaning & Preprocessing

  • Handling missing values, duplicates, and outliers
  • Data type conversions
  • Data normalization & scaling
  • Handling categorical data (Encoding)
  • Best practices in data preprocessing

6. Data Visualization

  • Principles of effective visualization
  • Charts & graphs: Bar, Line, Pie, Histogram, Scatter plots
  • Python libraries: Matplotlib, Seaborn
  • Interactive visualization: Plotly
  • Dashboards using Tableau / Power BI

7. Statistical Analysis

  • Descriptive statistics: mean, median, mode, variance, standard deviation
  • Data distribution & probability
  • Inferential statistics: Hypothesis testing, Confidence intervals, t-tests, chi-square tests
  • Correlation & regression analysis
  • Analyzing trends & patterns

8. Python for Data Analytics

  • Python basics: variables, loops, functions, data structures
  • Pandas for data manipulation: DataFrames, indexing, filtering, grouping
  • NumPy for numerical computations
  • Data cleaning & preprocessing using Python
  • Visualizations with Matplotlib and Seaborn

9. Advanced Analytics Techniques

  • Predictive analytics basics
  • Regression analysis & forecasting
  • Classification analysis (Decision Tree, Logistic Regression)
  • Clustering (K-Means, Hierarchical)
  • Time series analysis basics

10. Business Intelligence (BI) Tools

  • Introduction to BI tools: Tableau, Power BI
  • Connecting to data sources
  • Creating dashboards & reports
  • Data storytelling & insights presentation
  • Drill-down, filters, and interactive visuals

11. Big Data & Analytics

  • Introduction to Big Data concepts
  • Overview of Hadoop & Spark
  • Working with large datasets
  • Cloud-based analytics (AWS, Azure, Google Cloud)

Local Training Campuses & Placement Drives

Classroom & hybrid batches in Coimbatore & Chennai

Coimbatore • Training

Business Intelligence & Advanced Data Analytics
Coimbatore • Internship

Business Intelligence & Advanced Data Analytics
Chennai • Training

Business Intelligence & Advanced Data Analytics
Chennai • Internship

Business Intelligence & Advanced Data Analytics

Take the Next Step in Your Career

Join our comprehensive Masterclass: Business Intelligence & Advanced Data Analytics program and gain real-world skills that employers demand.

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