Advanced Python for Data Analysis udemy course free download
What you'll learn:
- Learn in-built standard modules in python like datetime, math, statistics etc.
-
Learn Networking using sockets, APIs for twitter and emails.
-
Learn Data science modules for IoT such as numpy, scipy, pandas, matplotlib.
- Finally we will learn Multi-threading and Exception handling.
Requirements::
- Basic knowledge about electronics & python programming
- A Computer or a laptop
Description:
Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc.
The training will include the following;
1. Using in-built standard modules in python (datetime, math, statistics)
2. Networking using sockets
3. Using apis for twitter and emails
4. Data science modules for iot (numpy, scipy, pandas, matplotlib)
5. Multi-threading and Exception handling
Hence, we will be covering the following topics and modules in this course:
Installation
Nuts and Bolts
Networking and Networking Concepts
Socket Programming
ChatBot App
Database and Chat App
Client Element and Datasets
Numpy
Numpy Arrays
Target Customers for this course will be anybody interested in programming. Basic knowledge about electronics & programming is sufficient to attend this course
Who this course is for:
- Anybody interested in Python
- Anyone interested in data science
- Python and data science professionals
Course Details:
- 6.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion