Главная
Study mode:
on
1
Introduction
2
Agenda
3
Python, Pycharm & Anaconda Installation
4
Intro to Jupyter Notebook
5
Variables in Python
6
Data Types in Python
7
Operators in Python
8
Python Tokens: Keywords, Identifiers, Literals & Operators
9
Data Structures in Python: Tuple, List, Dictionary & Set
10
Flow Control Statements
11
Functions
12
Python Object-Oriented Programming: Class & Object
13
Inheritance in Python
14
Libraries in Python
15
Python Numpy
16
Python Pandas
17
Data Visualization with Python: Matplotlib
18
Data Visualization with Python: SeaBorn
19
Python Project on IPL Data
20
Python Project on FIFA
21
Python Project on Marvel and DC Characters
22
Introduction to Data Science
23
Machine Learning
24
Supervised Learning
25
Unsupervised Learning
26
Statistics For Data Science
27
Linear Regression
28
Logistic Regression
29
Time Series Analysis
Description:
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.

Python for Data Science - Data Science Tutorials for Beginners

Great Learning
Add to list