Course Access
6 months
Last Updated
October 28, 2024
Students Enrolled
30
Total Curriculum
27
Certification
- Introduction to Python for Data Analytics: Overview of Python basics, libraries, and their role in data analytics.
- Data Manipulation:Using Pandas for data cleaning, transformation, and analysis.
- Data Visualization: Creating insightful visualizations with Matplotlib and Seaborn.
- Statistical Analysis:Applying statistical methods and hypothesis testing using Python.
- Machine Learning Basics: Implementing simple machine learning models with Scikit-learn.
- Practical Projects: Analyzing real-world datasets through hands-on projects.
Course Curriculum
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- Introduction to Python 00:40:00
- Quiz – Introduction to Python 00:05:00
- Command line argument and flow control 00:37:00
- Quiz – Command line arguments and flow control 00:05:00
- Object oriented programming (OOP) 00:49:00
- Quiz – Object Oriented Programming (OOP) 00:05:00
- String operators and format specifiers 01:00:00
- Quiz – String operators and format specifiers 00:05:00
- Functions and Generators 01:00:00
- Quiz – Functions and Generators 00:05:00
- File handling and Exception handling 00:38:00
- Quiz – File Handling and Exception Handling 00:05:00
- Regular expression and Date Time 00:43:00
- Quiz – Regular expressions and Date Time 00:05:00
- Overview of Python Libraries 00:59:00
- Quiz – Overview of Python libraries 00:05:00
- Numpy 01:00:00
- Quiz – Numpy 00:05:00
- Pandas 01:00:00
- Quiz – Pandas 00:05:00
- Connecting MySQL Database with Python 1 day, 20 hours
- Quiz – Connecting mySQL database with Python 00:05:00
- Data visualization 01:00:00
- Quiz – Data Visualization 00:05:00
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- Data_Analysis Project on Diwali_sales Unlimited
- PandaSQL-Edu Project Unlimited
- Data Analysis & Data Visualization Project on IMDB Movie Dataset Unlimited
It is easy to understand
its very good and Awsome
Good Course
Very Informative and Beginner Friendly