Course Highlights

  • Duration: 5 to 6 months
  • Batches:
    • Daily Batch: 2 hours/day (Monday–Friday)
    • Weekend Batch: Saturdays, 9:00 AM – 4:00 PM
  • Mode: Offline Classroom Training
  • Certification: Certificate on successful completion
  • Location: Trivandrum & Kochi

Who can Join

  • College Students and Fresh Graduates seeking Data Analyst Jobs
  • Professionals switching to Data Analytics
  • Anyone interested in data-driven decision-making

What is included

  • Notes
  • Hands-on Practicals
  • Revision Module
  • Interview Questions
  • Placement Support
  • Mock Interview
  • Resume Preparation
  • LinkedIn Preparation
  • Job Alerts

Certificate

On successful completion, you’ll receive a Certificate in Data Analytics, which adds value to your resume and helps in placements.

Course Syllabus

  • Foundations of Data & Analytics
    • Understanding data analytics
    • Types of data and their uses
    • Finding trends, patterns, and outliers
  • Data Cleaning & Preparation
    • Excel & Power Query for cleaning and shaping data
    • Python (Core + Pandas) for preprocessing
    • R (dplyr, tidyr) for tidy data workflows
    • SQL (MySQL) for structured data cleaning
  • Data Manipulation & Transformation
    • Excel for rearranging, summarizing, and formatting data
    • Python (Pandas) for merging, grouping, and reshaping
    • R for structured transformations
    • SQL for filtering, joining, and aggregating data
  • Numerical Computing & Fast Calculations
    • NumPy for high-speed numerical operations
    • Excel for calculations and quick metrics
    • R for statistical computations
  • Exploratory Data Analysis (EDA)
    • Python (Pandas + NumPy) for exploring datasets
    • R for statistical summaries and patterns
    • Excel for descriptive analysis
    • SQL for answering analytical questions
  • Data Visualization
    • Excel charts for quick insights
    • Python (Matplotlib + Seaborn) for analytical visuals
    • R (ggplot2) for structured graphics
    • Tableau for interactive visual analytics
    • Power BI for business dashboards
  • Databases & Querying – SQL (MySQL)
  • Data Modeling & ETL / Data Pipelines
    • Power BI for star schema and data models
    • Tableau Prep for data shaping
    • SQL for building analytical datasets
    • Power Query for ETL workflows in Excel and Power BI
  • Reporting & Dashboards
    • Tableau for interactive dashboards
    • Power BI for business reporting
    • Excel dashboards for quick insights