Python Django and Data Analysis Courses

Python is easy to learn and very user friendly programming language. It is very good language for beginners and non-programmers to start learning programming. Also Python is open source and is available on most of the platforms. You can do more in python by writing less number of coding lines, also it is very fast.

Python is Used to perform variety of task:

• Python is used for data Analysis
• Python is used for web development
• Python is also used in Machine learning(ML) and AI (Artificial Intelligence)
• We can Also create GUI Applications with python and It is also used in Game development.
• It is used by Networking professionals and also used to solve various scientific and numeric problems.
• Python is also used to extract data from databases and having very good data access capabilities.

We have the following courses on python language:

Course 1: python language course

duration: 8 weeks

Course Outline:

• Introduction to python
• Variables and Operators
• Basic Programming Construct
• If condition
• conditional expression
• loops (while and for loop)
• functions in python
• generator functions
• Classes and Objects
• Inheritance and Polymorphism
• Constructors
• Tuples
• Lists
• Dictionaries
• Strings
• Slicing
• List Comprehensions
• Exception Handling
• Regular Expressions
• File Handling
• Introduction to SQL
• Data base connectivity python with SQLite
• row factory
• Modules in python
• pypi.org modules usage
• creating your own module
• GUI programming with Tkinter

Course 2: Web Development with Django (python framework)

Duration: 4 weeks

• Web basics (html, css and basic js)
• Django Framework
• Setting Up Django Project
• Django Models
• Django ORM
• Django URLs
• Templates and Views

Course 3:Data analysis with python using NumPy and Pandas

Duration: 6-8 weeks

• Installing Anaconda Distribution and Jupyter Notebook
• Introduction to the Jupyter Notebook Interface
• Data Series
• Data Frames
• Text Data
• Multi-Index Module
• Merging, joining and concatenating
• Grouping
• Working with dates and times
• Panels
• Input and outputs
• Visualizations (Graphs and Charts)

---

---

---