- Certificate of completion - Free
- Tutor is available to students
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 improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
You will unfold the power of deep neural networks
Learn the degrees of freedom, mathematical operations
Introduction
Curriculum of Data Science
Practical Scenario 1
Data Science Roles
An Insight on Data Science
Terminologies and Statistical Methods in Data Science
Confusion Matrix, Random Variables
Descriptive Statistics
Understanding Percentile
Probability : An Introduction
Probability: Continued
Descriptive Statistics Part 1
Descriptive stats continued
Degrees of freedom and mathematical operations
R Programming
Refresher
Digital certificate - Included
We build your foundation by going through the basics of Mathematics, Statistics and Machine Learning using our foundation training program on Data Science - DS1 Module:
In our DS1 Module You will Learn:
Descriptive & Inferential Statistics
Data Visualization
R Programming
Data Distributions - Discrete/Continuous
Matrix Algebra, Coordinate geometry & Calculus
CRISP-DM Framework
Machine Learning - Part 1
Simple & Multiple Linear regression with case studies
Basic knowledge
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills. You should take this course if you want to become a Data Scientist or if you want to learn about the field
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
You should take this course if you want to become a Data Scientist or if you want to learn about the field
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