AnalyticsBeginner to Intermediate

Data Analytics

Transform Data into Business Intelligence

Learn to extract actionable insights from complex datasets and drive business decisions through data. This program combines statistical analysis, visualization, and business intelligence tools to prepare you for one of the most in-demand roles in the modern economy. You'll work with real datasets and learn to tell compelling stories with data.

Duration

4 Months

Salary Range

₹4 - 12 LPA

Level

Beginner to Intermediate

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Industry Recognition

Certification Options

Prepare for globally recognized certifications that validate your skills

Google Data Analytics Professional Certificate
Microsoft Certified: Data Analyst Associate (Power BI)
IBM Data Analyst Professional Certificate
Tableau Desktop Specialist
SAS Certified Specialist

Program Highlights

Core skills and competencies you will develop

Advanced Excel for business analytics

SQL for data extraction and manipulation

Python for data analysis (Pandas, NumPy)

Data visualization (Tableau, Power BI)

Statistical analysis and hypothesis testing

Business intelligence and reporting

Structured Learning

Course Curriculum

Comprehensive module-wise breakdown of the program

1

Excel Analytics

  • Advanced formulas
  • Pivot Tables
  • Power Query
  • Data modeling
  • What-if analysis
  • Dashboard creation
2

SQL for Analytics

  • Complex queries
  • Joins and subqueries
  • Window functions
  • CTEs
  • Query optimization
  • Stored procedures
3

Python for Data

  • Pandas fundamentals
  • Data cleaning
  • Exploratory analysis
  • NumPy operations
  • Matplotlib/Seaborn
  • Jupyter notebooks
4

Visualization & BI

  • Tableau fundamentals
  • Power BI reports
  • Dashboard design
  • Storytelling with data
  • KPI development
  • Presentation skills

Career Opportunities

Roles you can pursue after completing this program:

Data AnalystBusiness AnalystBI AnalystMarketing AnalystFinancial AnalystOperations Analyst

Expected Salary Range

₹4 - 12 LPA

*Based on industry standards and experience level

Prerequisites

Basic computer knowledge. Numerical aptitude.

Hands-On Projects

  • Sales performance dashboard
  • Customer segmentation analysis
  • Financial reporting system
  • Marketing campaign analysis

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