Data Analysis with Python and Pandas

About this course:

Python is among one of the top developing languages in the world, which is why python developers are always in demand. Python is used for multiple applications, one of which is data analysis. Python has proved to be one of the most important tools for data analysis, as it raises the chances of accurate results.

If you can acquire both the skills you will be favorite among the recruiters.

• Learn data analysis using Python
• Manipulate and analyze huge data sets with ease
• Data mining using Python
• Acquire high demand python programming skills, which can make you a valuable asset to any software firm

This course is based on 51 theoretical lectures spread a little over 6 hours. People who want to develop strong skills for data analysis or python programming skills will find this training course incredibly resourceful. All you need to do is fire up your computer, install python, and you are good to go.

The Data Analysis with Python and Pandas course starts with Introduction to Python, including all the necessary libraries and data structures, moving on you will be introduced to complex functions such as visualizing, indexing, creating data frames, etc.

The course then moves on to Panda concepts such as data manipulation, statistical functions, logical categorizing, and many others. Also, topics including, combining data, working with databases, missing data, and advanced operations like resampling, correlation, mapping, and buffering are in the outline.

At the end of the course, you will have a thorough understanding of all the basic concepts of data analysis with Python along with a handy life skill.

A Python Developer earns $103,492 on average annually. 

Course Objective:

At the end of this course, students will have strong concepts of:

• Introduction to Pandas
• IO Tools
• Pandas Operations
• Handling for Missing Data
• Handling for Outliers
• Combining Dataframes
• Advanced Operations

Audience: 

The target audience for this course are Python programmers who want to enhance their data analysis skills.

Prerequisites:

All candidates must be familiar with Python language programming.

Suggested prerequisites courses:

• Python for BeginnersPython Programming for Beginners
• Python Object Oriented Programming Fundamentals