Data Science Advanced Developer Course (6 Months)
π Data Science Advanced Developer Course (6 Months)
A 6-month comprehensive program designed to make learners industry-ready data scientists. The course covers Python (Pandas, NumPy), advanced SQL, data visualization (Matplotlib, Seaborn, Power BI), statistics, machine learning fundamentals, and real-time projects, providing hands-on experience and portfolio-ready work for mid-level data scientist or analytics roles.
0
Students0
Live Projects0
% Supportπ Course Details
π Data Science Advanced Developer Course (6 Months | 24 Weeks)
π Program Overview
A 6-month intensive program designed to make learners industry-ready data scientists. The course covers Python, Pandas, NumPy, advanced SQL, data visualization, statistics, machine learning basics, and real-time projects, providing hands-on experience and portfolio-ready projects for mid-level data science roles.
π 6-Month Detailed Syllabus (24 Weeks)
πΉ Month 1-2 – Python & Data Handling
-
Python Fundamentals: Variables, Data Types, Loops, Functions
-
Data Structures: Lists, Tuples, Dictionaries, Sets
-
NumPy for Numerical Computing
-
Pandas for Data Handling & Analysis
-
Data Cleaning & Preprocessing Techniques
-
Mini Project: Dataset Exploration & Cleaning
πΉ Month 3 – Advanced SQL & Database Management
-
SQL for Database Querying & Management
-
Joins, Subqueries, Aggregate Functions
-
Data Extraction & Integration
-
Mini Project: Database Querying for Analytics
πΉ Month 4 – Statistics & Data Visualization
-
Descriptive Statistics: Mean, Median, Mode, Standard Deviation
-
Probability Basics & Distributions
-
Correlation & Covariance
-
Data Visualization using Matplotlib & Seaborn
-
Mini Project: Exploratory Data Analysis (EDA) Dashboard
πΉ Month 5 – Introduction to Machine Learning
-
Basics of Machine Learning: Supervised vs Unsupervised Learning
-
Linear Regression, Classification Basics
-
Model Evaluation & Performance Metrics
-
Mini Project: Simple ML Model on Sample Dataset
πΉ Month 6 – Advanced Data Visualization & Capstone Project
-
Dashboard Creation with Power BI
-
Business Analytics & Market Trend Analysis
-
Predictive Analytics Basics
-
End-to-End Capstone Project: Data Analysis, Visualization & Insights Reporting
-
Career Guidance, Resume Building & Interview Preparation
πBenefits
π Industrial Training Certificate + π Internship Letter
πΌ One Major Project (Industry-Level)
π Resume + LinkedIn Profile Building
π― Mock Interview Practice
π Placement + Internship Assistance
π§ Personality Development & Communication Skills
π Career Guidance for Data Scientist Roles
π» Hands-On Projects in Python, Pandas, NumPy, SQL & Power BI
π Curriculum
β Environment Setup
β Tools Overview
β Real-world Scenarios
β Best Practices
β Team Collaboration
β Deployment
π Download Your QTPL Certificate
Get a verified certificate after successful course completion
π Course Completion Certificate
- β Digitally Verified Certificate
- β Accepted in Colleges & Universities
- β Industry Recognized
- β Shareable on LinkedIn
- π₯ Boost Your Resume & Career
π° Course Fees
Enroll now & get Live Projects + Certificate + Placement Support
π₯ Limited Time Offer
β³ Offer Ends In: 00d 00h 00m 00s
