Build your mathematics and statistics foundations strongly and ensure your Data science fundamentals are in place!

What you'll learn

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
You will unfold the power of deep neural networks
You will carry out cluster and factor analysis
You will learn how to pre-process data
Impress interviewers by showing an understanding of the data science field
Apply your skills to real-life business cases
Learn the degrees of freedom, mathematical operations
Learn the art of Data Visualization
Learn Histogram, Boxplot, Scatter Plot, Co-variance and Correlation
Write programs in R