Python Programming Hands-on Training With Job Placement

Python Programming Training
(Online)South Bay Area, California

Training will be provided by our experienced and certified professionals in the python world. Training will include exposure to real time work environments and will also prepare you to attend interviews confidently. Though prior programming or software knowledge is optional, it would be good to have some programming background in any language. We give you an excellent opportunity for enhancing your algorithmic knowledge and programming skills. Each training module in IT consulting and training is specially designed so that by the end of the course you will be ready to face interviews.

Python Training Curriculum

Python training on both basic programming involving algorithmic coding followed by a series of new technologies for data manipulation including Pandas for data science and Numpy and SciPy for machine learning. This training also includes to create a web service and hosting a web server to access the written backend programs using web service through the Flask Web Service framework.

Course Duration:

• 6 weeks course, 3 days per week, 2 hrs a day.
• 1hr of practical programming.30 hours project work.
• Free - Demo Training available for interested students

ONLINETraining:

• We offer online training through powerful GOTOMeeting Conferencing.
• Prerequisites for Online Training: Computer with Speaker Phone.

High Level schedule:

• PY-101 : Basic Python Programming
• PY-102 : Advanced Python Programming
• PY-201: Intro to Data Science with Python
• PY-201 : Interview Preparation ( Resume and Mock Interviews )

Full Course Content:

Basic Python Programming

• Introduction to Python
• Values and Variables
• Expressions And Arithmetic
• Conditional Execution
• Iteration
• Statements
• Functions
• Modules and Packages
• Collections Modules
• Sorting and Searching

Advanced Python Programming

• Object Oriented Programming
• Decorators
• File I/O
• Regular Expressions
• Custom Types
• Handling Exceptions
• Unit Tests

Intro to Data Science with Python

• Series
• DataFrames
• Panel
• Index and Selecting Data
• Sorting
• Aggregation
• Missing Data
• Working with data
• Reading from database
• Data Analysis with Pandas