The Absolute Beginners Guide to Data Science

• 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

Who this course is for:

• 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