Data Science
Practical Training for College Students
Learn Data Science through live classes, guided practice and two practical projects covering python, statistics, machine learning & data visualisation.
DS
Why Learn Data Science?
Build foundational skills in python, statistics, machine learning & data visualisation and apply them to practical assignments and portfolio projects.
Python & Data Handling
Python Basics & NumPy
Statistics & Exploration
Probability & Descriptive Statistics
SQL & Visualisation
SQL Queries & Joins
Machine Learning
Regression & Classification
What You'll Learn
Python & Data Handling
- • Python Basics
- • NumPy
- • Pandas
- • Data Cleaning
Statistics & Exploration
- • Probability
- • Descriptive Statistics
- • Hypothesis Testing
- • Exploratory Data Analysis
SQL & Visualisation
- • SQL Queries
- • Joins
- • Matplotlib
- • Seaborn
Machine Learning
- • Regression
- • Classification
- • Clustering
- • Model Evaluation
Capstone & Presentation
- • Feature Engineering
- • Model Validation
- • Streamlit
- • Communicating Findings
Build Industry Projects
Customer Churn Analysis & Prediction
Sales Data Exploration Dashboard
Tools You'll Master
Career Opportunities
- Data Science Intern
- Junior Data Scientist
- Data Analyst
Salary Insights (India)
| Experience | Average Salary |
|---|---|
| Entry Level | Varies by role & company |
| 1 – 3 Years | Depends on skills & experience |
| 3 – 5 Years | Depends on role & specialization |
| Experienced | Depends on company & responsibilities |
Why Choose NextPeer?
Live Interactive Classes
Industry Mentors
Hands-on Practice
2 Live Projects
Doubt Support
Resume Building
Mock Interviews
Placement Assistance
Career Guidance
NextPeer Certification
Student Journey
Enroll
Live Classes
Practice
Assignments
Projects
Portfolio
Placement Support
Certification
Frequently Asked Questions
The program starts with Python basics. Comfort with school-level mathematics is helpful.
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