Data Analytics
Python Programming
Data Manipulation with Pandas
Data Visualization with MatPlotlib
NumPy
Python for Data Science
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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13Numbers
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14Variables
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15Operators
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16Dynamic Typing in Python
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17Strings in Python
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18String Operations
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19String Methods
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20Immutability
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21String Formatting
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22Lists
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23List Methods
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24Tuples
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25Dictionaries
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26Dictionary Methods
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27Sets and Booleans
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28Statements
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29For Loop
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30While Loop
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31Functions
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32Decorators
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33Generators
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34Objects and Classes
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35Attributes
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36Methods
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37Inheritance
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38Polymorphism
Data Analytics with Pandas
Data Analytics and Visualization with Matplotlib
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!