This Course/Program offers a comprehensive kick start training on Data Science from beginner to advanced level. Examples of topics included are the Phyton, Linear Algebra, Exploratory Data Analysis(EDA), Principal Component Analysis(PCA), Probability and Statistics, Machine learning Algorithms -KNN, Logistics Regression, Random Forest, XGBoost, K-Means, Deeplearning Neural Networks. On completing this course you will know the principles involved in Data Science. This course has absolutely no prerequisites and is suitable for everyone who wish to start the career in data science.
Note: The download link is available with the lecture, plus the .pdf file is also included for you to download if you still need help downloading the software.