Data Science Skills with Practical Mentorship
The Data Science course offered by Swivt Education is tailored to meet the needs of both aspiring data scientists and professionals looking to expand their expertise in data science and machine learning.
Course Overview
Course Features
Duration
6 Months
Tools Covered
Python, Tensor Flow, Open AI, etc
Mode
Online | Offline | Hybrid
Live Project & Internship
Practical AI Project
Certificate
Provided upon completion
Benefits
Syllabus
Topics Covered
- Python Coding Fundamentals
- Conditional Statements
- Loops
- Exception Handling
Assignments:
- Mini Project
Topics Covered
- MySQL
- Set-up MySQL Service and Workbench
- SQL Access from Python
Assignments:
- Mini Project
Topics Covered
- Numerical Libraries: numpy, scipy, and pandas
- Accessing Data with APIs
- Scraping Data from Websites
Assignments:
- Mini Project
Topics Covered
- Foundations of Machine Learning
- Supervised Learning
- Unsupervised Learning
Assignments:
- Machine Learning Project
Topics Covered
- Natural Language Processing
- Tokenization
- Computer Vision (CNN)
- Image Processing
Assignments:
- Deep Learning Projects: NLP and CV
Topics Covered
- BI Tools: Tableau and Power BI
- Deployment and Containerization
Assignments:
- Data Engineering Project
Topics Covered
- Capstone Project Preparation
Assignments:
- Final Presentation at Demo Night
Topics Covered
- 1-on-1 Consultation
- CV and LinkedIn Profiles
- Interview Tutorial
- Presentation Skills: What and How to Share with Hiring Managers
Assignments:
- Resume
- LinkedIn Profile
Frequently Asked Questions
The course lasts for two weeks, covering all essential topics with hands-on practice.
No prior experience is required. The course is designed for beginners and advanced learners alike.
Yes, a certificate of completion will be provided to all students who successfully finish the course.
