Build your mathematics and statistics foundations strongly and ensure your Data science fundamentals are in place!
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
You will gain a firm foothold of the fundamentals of Data Science. The course provides the entire toolbox you need to become a data scientist.
You will understand the mathematics and statistics behind Machine Learning
You will understanding the Octagonal Technical Facets of Data Science
You will start coding in Python and learn how to use it for statistical analysis
You will improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
This comprehensive The Absolute Beginners Guide to Data Science curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this The Absolute Beginners Guide to Data Science course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
The Absolute Beginners Guide to Data Science isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.