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Complete Practical Data Science Program

Data Science & Machine Learning Master Course

Learn Data Analytics, SQL, Python, Power BI, Django and Machine Learning with practical assignments, mini projects and live industry projects.

9

Advanced Modules

6–9

Months Duration

100%

Practical Training

Live

Industry Project

Career

Interview Preparation

Professional Training Program

Complete Data Science Curriculum

Master Data Analytics, Machine Learning, Python Programming, SQL, Power BI, Django Development and real-world business intelligence systems with practical implementation.

Duration : 1 Week
Introduction to Data Science
Difference between Data Analytics, Data Science & AI
Data Science lifecycle
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Real-world applications
Industry use cases
Career opportunities
Dataset understanding
Business case studies
Analytics Case Studies Datasets
Duration : 3–4 Weeks
Excel interface and shortcuts
Formatting and data handling
Sorting and filtering
Conditional formatting
Data validation
Charts and visualization
Pivot Tables
Pivot Charts
VLOOKUP
HLOOKUP
XLOOKUP
Text functions
Date functions
Logical functions
Dashboard creation
Assignments
Employee performance analysis
Sales dashboard
Mini Projects / Live Projects
Retail Sales Dashboard
Excel Pivot Tables Dashboards
Duration : 3–4 Weeks
DBMS and RDBMS
SQL installation
Database creation
Data types
CRUD operations
WHERE clause
Aggregate functions
GROUP BY
HAVING
JOINS
Subqueries
Views
Stored Procedures basics
SQL optimization basics
Interview queries
Assignments
Customer database tasks
Sales analytics tasks
Mini Projects / Live Projects
E-commerce database analysis
MySQL SQL Database
Duration : 4 Weeks
Python installation and IDE
Variables and data types
Operators
Conditional statements
Loops
Functions
Strings
Lists
Tuples
Dictionaries
Sets
File handling
Exception handling
Modules and packages
OOP concepts
Assignments
Calculator project
Student management system
Python VS Code Programming
Duration : 4–5 Weeks
NumPy
Pandas
Matplotlib
Seaborn
Reading CSV and Excel files
Data cleaning
Missing value handling
Data preprocessing
Exploratory Data Analysis
Statistical analysis
Data transformation
Visualization techniques
Correlation analysis
Data storytelling
Mini Projects / Live Projects
Customer Churn Analysis
NumPy Pandas Matplotlib Seaborn
Duration : 2–3 Weeks
Power BI introduction
Data import
Data transformation
Data modeling
DAX basics
Dashboard creation
Interactive reports
KPI dashboards
Mini Projects / Live Projects
HR Analytics Dashboard
Power BI DAX Reports
Duration : 4–5 Weeks
Introduction to Django
MVC/MVT architecture
Django installation
Project setup
URL routing
Views and Templates
Models and ORM
Forms handling
Admin panel
Authentication and authorization
Static files
CRUD operations
API basics
Deployment basics
Assignments
Student Management System
Blog Application
Mini Projects / Live Projects
Data Analytics Portal
Django Python APIs
Duration : 6 Weeks
Introduction to Machine Learning
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Data preprocessing
Feature engineering
Train-test split
Regression algorithms
Classification algorithms
Clustering
Model evaluation
Confusion matrix
Accuracy and performance metrics
Hyperparameter tuning basics
Linear Regression
Logistic Regression
Decision Trees
Random Forest
KNN
Naive Bayes
K-Means Clustering
Mini Projects / Live Projects
House Price Prediction
Customer Segmentation
Loan Prediction
Scikit-learn NumPy Pandas
Duration : 4–6 Weeks
Requirement gathering
Data collection
Data cleaning
Data analysis
Machine learning implementation
Dashboard creation
Django integration
Report generation
Final presentation
Mini Projects / Live Projects
Insurance Claim Prediction
E-commerce Sales Forecasting
Hospital Data Analysis
Website Traffic Analysis
Customer Churn Prediction
Marketing Campaign Analytics
Deliverables
Source code
SQL scripts
Dashboard
ML model
Documentation
Presentation
Deployment Reports Live Projects

Pricing 30K

Practical Data Science training with live projects, assignments and interview preparation.

Course Specifications

Duration

6–9 Months

Level

Beginner to Advanced

Mode

Practical + Assignments

Live Project

Industry Project Included

Certification

Course Completion Certificate

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Tools & Technologies Covered

Analytics & BI

Excel Power BI Dashboards Visualization

Programming Stack

Python SQL Django APIs

Machine Learning

Scikit-learn Pandas NumPy Seaborn

Target Career Pathways

Data Analyst

Data Scientist

Machine Learning Engineer

Business Analyst

Python Developer

BI Developer

Django Developer

AI Engineer

Interview Preparation

Resume Preparation

LinkedIn Optimization

Mock Interviews

SQL Interview Questions

Python Interview Questions

Machine Learning Questions

Case Studies

Start Your Data Science Career Today

Build Real-World Skills With Live Industry Projects

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