Python - Data Analytics - Real World Hands-on Projects (With Notes)
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4 modules
ENGLISH
Certificate of completion
Lifetime access
Embrace Your Inner Data Science Lover
Overview
In this course, 'Python - Data Analytics - Real World Hands-on Projects (With Notes)', you will dive into the world of data analytics by using Python programming language. This course is designed to provide a comprehensive understanding of data analytics and how it is applied in real-world scenarios.
Throughout the course, you will learn the fundamental concepts and techniques used in data analytics. Starting from the basics, you will gain knowledge of Python fundamentals and libraries such as NumPy, Pandas, and Matplotlib, which are widely used for data analysis and visualization. The course takes a hands-on approach, where you will work on real-world projects to apply your newly acquired skills. By working on these projects, you will get a practical understanding of how data analytics is applied in different industries and domains.
The course also includes comprehensive notes, which will serve as a valuable resource for your learning journey. These notes will provide additional explanations, examples, and insights that will help you reinforce your understanding of the concepts covered in each section.
By the end of this course, you will have a strong foundation in Python programming for data analytics and the ability to tackle real-world data analysis projects with confidence. Whether you are a beginner or someone with prior programming experience, this course will equip you with the necessary skills to excel in the field of data analytics using Python. So, enroll now and embark on your journey to become a proficient data analyst!
Key Highlights
Learn Python fundamentals and key data analytics libraries
Build real-world projects to analyze and visualize data
Gain hands-on experience with data manipulation and cleansing
Implement data mining techniques for insights and predictions
Work with real datasets to solve practical business problems
What you will learn
Big Data Analytics with Python
Completing Data Analysis Tasks
How we complete the tasks related to data analytics with python
Using Python Pandas Library
Solving real time questions with Python Pandas Library
Python Libraries - Pandas, Matplotlib
Learn Python Libraries - Pandas, Matplotlib and enhance your analytical skills
Core Python Programming Language
Basic Data Science
Modules
Lectures
16 attachments • 4 hrs
Project 1 - Weather Data Analysis
Quiz 1 : Weather Data Analysis
Project 2 - Cars Data Analysis
Quiz 2 : Cars Data Analysis
Project 3 - Police Data Analysis
Quiz 3 : Police Data Analysis
Project 4 - Covid Data Analysis
Quiz 4 : Covid-19 Data Analysis
Project 5 - London Housing Data Analysis
Quiz 5 : London Housing Data Analysis
Project 6 - Census Data Analysis
Quiz 6 : Census Data Analysis
Project 7 - Udemy Data Analysis
Quiz 7 : Udemy Data Analysis
Project 8 - Netflix Data Analysis
Quiz 8 : Netflix Data Analysis
Course Notes - Self Study Material
7 attachments
Core Python Commands
Python - Pandas Commands
Python - Numpy Commands
Python - Matplotlib Commands
SQL Commands - Data Analytics
Join-Merge-Concat in Python
SQL JOINS
Source Codes
8 attachments
Project 1 - Weather Data
Project 2 - Cars Data
Project 3 - Police Data
Project 4 - COVID-19 Data
Project 5 - London Housing Data
Project 6 - India Census 2011
Project 7 - Udemy Courses Dataset
Project 8 - Netflix Data Analytics
Datasets
8 attachments
1. Weather Data
2. Cars Data
3. Police Data
4. Covid_19_data
5. London Housing Data
6. Census 2011 Data
7. Udemy Courses Data
8. Netflix Dataset
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
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About the creator
Learn with Data Science Lovers
Hi, I am a Data Analyst.
I have worked on various data analytics projects with Python.
I try to explain all the concepts in a very easy way so that even a beginner can understand and learn without any doubt.
Keep learning with me, you will enjoy the lectures.
Thank You so much
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