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Course Description

1-Year Advanced Diploma in Data Science

Eligibility: 12th Pass / Undergraduate / Graduate
Duration: 12 Months
Mode: Online / Offline
Level: Professional + Job-Ready

Module-Wise Course Content

Semester 1 – Core Foundations (6 Months)

1. Introduction to Data Science & Ecosystem
   
   

   • Roles, Tools, Applications
     
     

   • Data Science vs ML vs AI
     
     

2. Programming with Python (Advance Level)
   
   

   • OOPs in Python
     
     

   • Working with APIs and Automation
     
     

   • File Handling, Exception Handling
     
     

   • Libraries: Numpy, Pandas, Matplotlib
     
     

3. Statistics & Mathematics for Data Science
   
   

   • Descriptive & Inferential Statistics
     
     

   • Probability, Distributions, Hypothesis Testing
     
     

4. Data Collection, Cleaning & Analysis
   
   

   • Web Scraping, SQL, Excel Advanced
     
     

   • Power BI or Tableau Basics
     
     

5. SQL & RDBMS
   
   

   • MySQL / PostgreSQL
     
     

   • Joins, Triggers, Views, Functions
     
     

6. Capstone Project - 1
   
   

   • Real-world company data analytics project

Semester 2 – Advanced ML & Specializations (6 Months)

1. Machine Learning (Supervised & Unsupervised)
   
   

   • Regression, Classification, Clustering
     
     

   • Scikit-learn, Model Tuning, Evaluation
     
     

   • Feature Engineering
     
     

2. Deep Learning with TensorFlow/Keras
   
   

   • Neural Networks, CNN, RNN
     
     

   • Image Classification, NLP basics
     
     

3. Big Data with PySpark & Hadoop (Intro)
   
   

   • Spark RDD, DataFrames
     
     

   • Working on large datasets
     
     

4. Power BI / Tableau - Full Course
   
   

   • Dashboards, KPIs, Live Data Connections
     
     

5. Python for Automation & Data Engineering
   
   

   • Schedule automation
     
     

   • Pipeline building
     
     

   • Working with large files
     
     

6. Final Internship Project + Report
   
   

   • Work on a real company dataset
     
     

   • Submission & Evaluation
     
     

✅ Eligibility:

• 12th Pass (any stream with basic computer knowledge)
  
  

• Undergraduates, Graduates (BCA, B.Sc, B.Tech, BBA, etc.)
  
  

• Working professionals looking to upskill or switch careers

✅ Pre-requisites:

• Basic understanding of mathematics and statistics
  
  

• Familiarity with computers and internet usage
  
  

• Logical thinking and problem-solving attitude

✅ Key Benefits:

• Industry-focused curriculum with real-world projects
  
  

• 100% Job-Oriented Training with Internship Support
  
  

• Hands-on tools like Python, R, Tableau, SQL, Power BI, Excel, and ML Libraries
  
  

• Placement assistance after completion
  
  

• Resume building, mock interviews & career counseling
  
  

• International-level certification
  
  

✅ Career Opportunities After Course:

• Data Analyst
  
  

• Business Intelligence Analyst
  
  

• Machine Learning Engineer
  
  

• Data Scientist
  
  

• AI Analyst
  
  

• Research Analyst
  
  

• Junior Data Engineer
  
  

✅ Expected Salary (India):

12th Pass / UG Fresher -  ₹3 LPA – ₹4.5 LPA

Graduate Fresher -           ₹4 LPA – ₹6 LPA

With Internship Exp -        ₹5 LPA – ₹7.5 LPA

✅ Abroad Salary (Average Annual):

• USA: $60,000 – $90,000
  
  

• Canada: CAD 55,000 – CAD 80,000
  
  

• UAE: AED 70,000 – AED 120,000

✅ Global Demand for Data Science:

• 11 million new jobs expected globally by 2026 (IBM report)
  
  

• India alone will contribute to 20% of the world’s data science jobs
  
  

• Data Science is the fastest-growing domain in tech with high salary growth