The data science platform has a high significance in understanding data. It processes and analyzes huge amounts of data for better decision making. This course teaches how to use Python for collecting, organizing, processing, exploring, visualizing, and analyzing the data to extract insights that help in making business decisions.

Upon completion of this course, you will be able to use raw information to extract insights and build advanced data science capabilities. Key topics covered include:

Introduction to Python programming
Exploratory Data Analysis(EDA)
Fundamentals of Statistics & Probability
Data Visualization
Data Distribution & Correlation
Classification – KNN, Naïve Bayes
Decision Tree, Random Forest
Text Mining, WordCloud
Forecasting / Time Series