Advanced Python for Data Analysis

Master python with this course and learn how to build any python program with ease and use them in data analysis

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.

What you’ll learn

  • Learn using in-built standard modules in python such as datetime, math, statistics.
  • Learn networking using sockets.
  • Learn to use apis for twitter and emails.
  • Learn the data science modules in python such as numpy, scipy, pandas, matplotlib etc. along with multi-threading and Exception handling.

Course Content

  • Introduction –> 1 lecture • 5min.
  • Installation –> 2 lectures • 14min.
  • Nuts and Bolts –> 3 lectures • 28min.
  • Networking and Networking Concepts –> 3 lectures • 21min.
  • Socket Programming –> 4 lectures • 33min.
  • ChatBot App –> 6 lectures • 38min.
  • Database and Chat App –> 7 lectures • 1hr.
  • Client Element and Datasets –> 6 lectures • 54min.
  • Numpy –> 4 lectures • 29min.
  • Numpy Arrays –> 11 lectures • 1hr 34min.

Advanced Python for Data Analysis

Requirements

  • Basic knowledge about programming. Students should already know Python basics that are variables, numbers, strings, lists, functions, conditionals, and loops..

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