Python for Data Science - Data Science Tutorials for Beginners

Overview

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Great Learning's "Python for data science” course is all about learning exciting ways of understanding the process of analyzing data and getting to know more about open libraries.

Python for data science with python course aims to let our learners explore the multiple arenas of how to read data from multiple sources, which can be CSVs, Excel, and SQL. It's high time to learn and upgrade yourself with the art of processing data with the aid of NumPy Pandas and articulate the act of visualization with the aid of Matplotlib and other software.

Learn how to read data, process it, visualize and create reports. We also have our primary focus on Python to help you have your biggest leap into Data Science.

Syllabus

Introduction.
Agenda.
Python, Pycharm & Anaconda Installation.
Intro to Jupyter Notebook.
Variables in Python.
Data Types in Python.
Operators in Python.
Python Tokens: Keywords, Identifiers, Literals & Operators.
Data Structures in Python: Tuple, List, Dictionary & Set.
Flow Control Statements.
Functions .
Python Object-Oriented Programming: Class & Object.
Inheritance in Python.
Libraries in Python.
Python Numpy.
Python Pandas.
Data Visualization with Python: Matplotlib.
Data Visualization with Python: SeaBorn.
Python Project on IPL Data.
Python Project on FIFA.
Python Project on Marvel and DC Characters.
Introduction to Data Science.
Machine Learning.
Supervised Learning.
Unsupervised Learning.
Statistics For Data Science.
Linear Regression.
Logistic Regression.
Time Series Analysis.