Data Analysis with Python

Overview

This short course will familiarize you with Python programming and Data Science. Recently Python Developer has become a very demanding profession in IT and Business industries. Python programming language is much more preferred and simple coding language than C++ and Java. This is because Python code is not only shorter and more readable than its popular peers but is also very versatile focusing on Machine Learning, Data Science, Automation and Artificial Intelligence. According to Indeed.com, Python is the most demanding programming language in the USA job market with the highest 74,000 job posting in January 2020. Data scientists are in high demand and the job market is expected to stay quite open for the next few years around the World.

Who can join?

• Chief Technology Officers
• Chief Information Officers
• Chief Information Security Officers
• Information Technology professionals involved in software development
• New immigrant who is planning to move to developed countries such as USA, Canada, Australia, UK, EU Countries undergraduate/graduate students from any discipline
• Freelancers who works in platforms like Upwork.

Prerequisite

A motivated person with college degree from any discipline who is seeking an IT/Business professional job and enthusiastic to learn programming language.

Learning outcomes

Students will be capable of performing basic and mid-level Python programming for Data Science.

Instruction method

Interactive lectures through video conferencing (instructor-led live online)

 

Course outline

 

Fundamentals of Python

• About Python. Discussion on the importance and career of in python field.
• Installation of python and IDE.
• Run Hello world.
• Discussion on Python Learning Path.
• Introduction to Variable, Data types, Operators, Arrays, Flow Control, Methods, Object Oriented Programming.
• Practice programming.

Python Libraries

• What is python Library. Important python libraries for Data Science.
• Usage of Numpay, Pandas, Matplotlib , Scikit-Learn, Scipy.
• Practice python libraries.

File Handling

• What is File handling? Why need File Handling?
• Python File Handling System. (Creating, Reading, Updating, Deletion)
• Reading Text File in Python.
• Python File writing Method.
• Creating a New file.
• Deleting a File.

Data Analysis Exercise

• Preparing data sets.
• Load data read , write , create , delete data set.
• Different types of plot.
• Short exercises of data visualization.