Programming In Python For Data Science. Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, and more!

What you'll learn

GRASP the fundamental of Python for Data Science
UNDERSTAND the basics of Analytics
COMPREHEND the use of Analytics in various domains
LEARN the different roles of in different tools and the Analytics
GAIN an understanding of different tools and techniques in analytics
ACQUIRE the knowledge of Data Science, Data Mining, Statistics, Machine Learning, Supervised and Non-Supervised Techniques
GET the knowledge of crisp modelling framework
LEARN the key to deliver successful projects
ACQUIRE the knowledge of types of data and scales of measurement
GAIN the understanding of installing Anaconda and Jupyter on your desktop/laptop
ACQUIRE the knowledge of how to analyze, retrieve and clean data with Python
GET the understanding of basic programming and data structures
COMPREHEND to use Pandas with Large Data Sets, Time Series Analysis and Effective Data Visualization in Python
LEARN all about statistics, hypothesis test, probability distribution and sampling techniques
GET complete knowledge about graphical representation of data
ACQUIRE the knowledge about linear and logistic regression
GET completely acquainted with cluster analysis and association rule analysis
UNDERSTAND all about text mining