The Data Science Program at IT Techmania is a complete job-oriented course designed for beginners, graduates, and working professionals. This program covers programming, data analysis, visualization, and machine learning with practical industry projects.
✔ No Coding Background Required
✔ Live + Recorded Classes
✔ Practical Assignments
✔ Industry-Level Capstone Project
Course Fees & Details
Total Fees: ₹30,000
Approx. in Euro: €330 – €350
Duration: 500 Hours
Mode: 100% Online
Certification: Yes
EMI Option: Available
📚 Complete Course Syllabus
Module 1: Python for Data Science
Topics Covered:
Python Fundamentals
Variables & Data Types
Loops & Conditional Statements
Functions & OOP
NumPy & Pandas
Data Cleaning Techniques
Data Visualization (Matplotlib & Seaborn)
Working with CSV & Excel Files
Practical Work:
Student Result Analysis
Sales Data Cleaning & Visualization
Exploratory Data Analysis (EDA)
Module 2: Statistics & Mathematics
Topics Covered:
Mean, Median, Mode
Variance & Standard Deviation
Probability Basics
Normal Distribution
Correlation
Hypothesis Testing
Linear Regression Basics
Practical:
A/B Testing Business Case
Statistical Data Analysis Project
Module 3: SQL for Data Analyst
Topics Covered:
Database Concepts
SELECT, WHERE, ORDER BY
GROUP BY & HAVING
Joins (Inner, Left, Right)
Subqueries
Window Functions
Case Statements
Projects:
E-commerce Order Analysis
Customer Retention Analysis
Revenue Reporting System
Module 4: Power BI (Complete Training)
Topics Covered:
Data Import & Cleaning
Power Query
Data Modeling
Relationships
DAX Functions
Calculated Columns & Measures
KPI Dashboard Creation
Report Publishing
Projects:
Sales Performance Dashboard
HR Analytics Dashboard
Finance KPI Dashboard
E-commerce Performance Dashboard
Module 5: Tableau (Complete Training)
Topics Covered:
Tableau Interface
Connecting Data Sources
Charts & Visualizations
Filters & Parameters
Calculated Fields
Dashboard & Storytelling
Projects:
Superstore Sales Dashboard
Marketing Campaign Dashboard
Regional Profit Analysis
Module 6: Machine Learning Basics
Topics Covered:
Introduction to Machine Learning
Supervised & Unsupervised Learning
Linear Regression
Logistic Regression
Decision Tree
Random Forest
K-Means Clustering
Model Evaluation Metrics
Projects:
House Price Prediction
Customer Churn Prediction
Loan Approval Prediction
Final Capstone Project
Students will complete 1 Major Industry-Level Project:
Fraud Detection System
ORE-commerce Recommendation System
ORStock Market Analysis
ORSales Forecasting Dashboard
Tools & Technologies Covered
Python
SQL
Power BI
Tableau
Excel
Jupyter Notebook
Git & GitHub (Basic)
Career Opportunities After Completion
You can apply for roles such as:
Data Analyst
Business Analyst
Power BI Developer
Tableau Developer
Junior Data Scientist
Why Choose IT Techmania?
✔ 100% Practical Training
✔ Real Industry Case Studies
✔ Resume & Portfolio Building
✔ LinkedIn Optimization
✔ Mock Interviews
✔ Internship Assistance
✔ Placement Guidance