Data Science skills with practical mentorship

Duration

6 months

Category

personal development

Language

English

Level

beginner

Time

10 AM - 5 PM

Rating

4

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Learn Data Science with practical exercises, and real-client projects and build a killer Resume to land your next dream job. 

Course overview

Data Course Program

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. The curriculum is designed to cover a wide range of topics, including data analytics, machine learning, and data visualization, providing students with a solid foundation in these critical areas.Through this program, students have the opportunity to explore common data structures and algorithms, along with modern tools essential for success in the field of data science. The course also emphasizes practical, real-world applications, ensuring that students are well-prepared to tackle the challenges of the industry.
 

Why this course?

  • Build projects to add to your GitHub
  • Pre-recorded content
  • Real-client projects
  • Graduation certificate
  • 24/7 access lecture recordings

 

What you’ll learn?

1. Learn Machine Learning algorithms through both in-class practical assignments and project-based learning
2. Learn to use IDE and other collaborative tools to create interactive prototypes
3. Complete 1 real-client project and present them to client panels for assessment
4. Become job ready and connect with a network of Machine Learning experts and potential employers
5. Personalized training and review sessions on your CV and LinkedIn profile
 

Become certified

Our courses are structured to give you skills to call yourself a professional
- so every course has milestones set in place to guarantee your success.
 
 
 

Curriculum

:seedling: Fundamentals Course - Learn Data Science.

Unit 1: Prep Work
Lesson
  • Python Coding Fundamentals
  • Conditional Statements
  • Loops
  • Exceptional handling
Assignment
  • Mini Project

 

Unit 2: Structured Query Language
Lessons
  • MySQL
  • Set-up MySQL service and workbench
  • SQL access from Python
Assignments
  • Mini Project

 

:trophy: Advanced Course - Gain Career Ready Abilities 

Unit 3: Python for Data Science
Lessons
  • Numerical libraries, such as numpy, scipy and pandas
  • Accessing data with APIs
  • Scrapping data from Websites
Assignments
  • Mini Project
 
Unit 4: Machine Learning
Lessons
  • Foundations of ML
  • Supervised Learning
  • Unsupervised Learning
Assignments
  • Machine Learning Project
 
Unit 5: Deep Learning
Lessons
  • Natural Language Processing
  • Tokenization
  • Computer Vision (CNN)
  • Image processing
Assignments
  • Deep Learning Projects: NLP and CV
 
Unit 6: Data Engineering
Lessons
  • BI Tools: Tableau and Power BI
  • Deployment and Containerization
Assignments
  • Deep Learning Projects: NLP and CV
 
Unit 7: Collaboration and Capstone Projects
Lessons
  • Capstone project preparation
Assignments
  • Final Presentation at Demo night
 
Unit 8: Career support
Lessons
  • 1-on-1 consultation
  • CV and LinkedIn Profiles
  • Interview Tutorial
  • Presentation skills - What and how to share with hiring managers
Assignments
  • Resume
  • LinkedIn Profile

Choose a Swivt Education & Elevate your career

From world-class curriculum and professional mentors, to array of learning resources and amazing job opportunities, Swivt education has it all.

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