Career Details

Innovativz > Data Analyst (Python & SQL)
Course Syllabus

Data Analytics (SQL & Python)

Course Overview

Total Duration: 200 Hours (Approx. 3–4 Months)

Mode: Theory + Practical + Project

Objective: To train learners in Python and SQL-based data analytics, data cleaning, visualization, and reporting.

Eligibility

  • Minimum 10+2 pass
  • Basic computer knowledge
  • Math/Statistics familiarity preferred

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Module 1: Introduction to Data Analytics 

Analytics fundamentals, data types, workflows, sources, and real-world use cases

 

Module 2: Python Programming for Analytics 

Python basics, logic building, data structures, files, and Jupyter environment

 

Module 3: Python Libraries for Data Analytics 

NumPy, Pandas, data cleaning, visualization, and exploratory analysis

 

Module 4: SQL for Data Handling & Querying 

Database concepts, SQL commands, joins, functions, views, and data handling

 

Module 5: Applied Data Analysis & EDA 

Preprocessing, pattern discovery, feature basics, and SQL–Python integration

 

Module 6: Dashboarding & Reporting 

BI tools, data visualization, KPIs, and automated reporting

 

Module 7: Capstone Project & Assessment 

End-to-end analysis project with reporting, presentation, and Viva

 

Examination Scheme

  1. Theory: 25%
  2. SQL Practical: 25%
  3. Python Practical: 25%
  4. Project + Viva: 25%
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