Data Analytics A-Z with Python
Learn Python for Data Science
- Description
- Curriculum
- FAQ
- Reviews
Data Analytics is the trending technology in the present days. If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you.
It covers the following:
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Data Analytics
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Numpy Mathematical Operations
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Pandas Data Manipulation
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Data Visualization with Matplotlib
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Python programming
Pre-Requisites:
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No Pre-Requisites are required
Target Audience:
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Any one who is passionate about Data Analytics
Resources:
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Code workbooks for Data Analytics part is provided
Installation
Why Python?
Python Hands-on
Data Analytics with NumPy
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13
Numbers -
14
Variables
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15
Operators
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16
Dynamic Typing in Python
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17
Strings in Python
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18
String Operations
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19
String Methods
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20
Immutability
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21
String Formatting
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22
Lists
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23
List Methods
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24
Tuples
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25
Dictionaries
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26
Dictionary Methods
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27
Sets and Booleans
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28
Statements
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29
For Loop
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30
While Loop
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31
Functions
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32
Decorators
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33
Generators
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34
Objects and Classes
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35
Attributes
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36
Methods
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37
Inheritance
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38
Polymorphism
Data Analytics with Pandas
Data Analytics and Visualization with Matplotlib
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video
4 hours
Certificate of Completion
Full lifetime access
Access on mobile and TV
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