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