Python for Data Analytics and Machine Learning Bootcamp

Understand how Python for Data Analytics and Machine Learning can translate into business sense
Duration: 5 Days
Hours: 25 Hours
Virtual Class Id: 50064
Recorded
Single Attendee
$349.00 $583.00
6 month Access for Recorded
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About the Course:

Python for Data Analytics and Machine Learning Bootcamp enables you to take your data science skills into a variety of companies, helping them analyze data and make more informed business decisions. The course covers basic and advanced Python, data exploration, data visualization, descriptive analytics, and predictive analytics techniques with the Python language. You will learn about various Python packages like Numpy, Pandas, Scikit Learn, Seaborn. You will also get a chance to learn how to import and export data in using Python, data structures in Python, various statistical concepts, cluster analysis, Regression and classification.

Course Objective:

Install Python, Jupyter Notebook and learn about the various Python packages

Gain an in-depth understanding of data structure used in Python and learn to import/export data in Python

Define, understand and use the various functions in Python

Learn to do data visualization using Python packages like matplotlib and seaborn

Gain a basic understanding of various statistical concepts

Understand and use linear regression model, and classification techniques in Machine Learning

Learn and use clustering methods including k-means and hierarchical clustering

Who is the Target Audience:

This course is meant for all those students and professionals who are interested in using the Python's powerful ecosystem

Basic Knowledge:

There are no prerequisites

Curriculum
Total Duration: 25 Hours
Basic and Advanced Python

Introduction to Python   

Core programming concepts   
Functional Programming using Python   
Text Processing using RE module   
Exception Handling in Python  

Data Manipulation and Analytics using Python

Objects in Python   

Visualizations in Python  

Packages in Python   

Matrix operations  

Dataframes  

Machine Learning

Data Pre-processing   

Regression   

Classification   

Clustering   

Association Rule Mining   

Model selection and Boosting