PYTHON TRAINING MODULE
Description
The Python Training module will make the reader accustomed to python language. This material will help the reader in understanding the basics of the python language, Python libraries and the use of python for the analytics.
COURSE
AGENDA
UNIT I. Introduction to PYTHON
Duration: 6 Hrs.
Overview This unit explains what is Python, its advantages and disadvantages, how to run python scripts, how to use variables, string operator and functions.
Learning Objectives After completing this unit, you should be able to:
• Explain what Python is
• How to install and get start with python
• How to use basic variables and stings in python
• Work with Mathematical operators in python
UNIT II. Deep dive into PYTHON
Duration: 8 Hrs.
Overview This unit consist more in depth working of Python like inputting the data, working with Boolean and other statements.
Learning Objectives After completing this unit, you should be able to
• How to input data in Python
• Use Boolean with python
• Use If and elif statement in python
• Use while loop in python
• Work with lists
UNIT III. Python Libraries
Duration: 8 Hrs.
Overview This unit explains the use of pandas library for data analysis
Learning Objectives After completing this unit, you should be able to:
• Install Pandas
• Work with series and data frames
• Work on grouping, aggregating and applying different functions on data
• Merge and Join the data
• Use For statement
UNIT IV. Error Handling
Duration: 4 hrs.
Overview This unit explains how to deal with different type of errors that one can encounter while working with Python.
Learning Objectives After completing this unit, you should be able to:
• Deal with Syntax errors
• Deal with the exceptions
UNIT V. Other Topics
Duration: 4 hrs.
Overview This unit explains how to deal with miscellaneous things in python
Learning Objectives After completing this unit, you should be able to
: • Work with regular expression
• Work with Pattern matching
• Parse data
UNIT VI. Regression (Use case study)
Duration: 3 hrs.
Confidential Python training module 5
Overview This unit explains regression analysis with the help of a use case.
Learning Objectives After completing this unit, you should be able to:
• Define regression analysis
• Work with regression analysis
UNIT VII. Other Regression related topics
Duration: 4 hrs.
Overview This unit explains different topics which are important from the point of view of data analytics
. Learning Objectives After completing this unit, you should be able to:
• Define exploratory analysis
UNIT VIII. Advance
Duration: 3 hrs.
Overview This unit explains some advance data analytics techniques.
Learning Objectives After completing this unit, you should be able to:
• Apply advanced Machine learning algorithms
• Work on Support vector machines
• Define Random forest
• Define correlation matrix
• Perform visualization using matplotlib
• Implement linear regression
FAQs?
No FAQs available for this category.
