Data Analysis on Titanic dataset using Python

Focused View

Shambhavi Gupta

4:49:06

134 View

1. Pclass vs survived vs gender class.mp4

14:41

2. Introduction and importing of libraries.mp4

18:03

3. Gathering information about the data.mp4

17:35

4. Visualizing the data.mp4

18:08

5. Featuring - gender class.mp4

10:10

6. Survived class.mp4

13:47

7. Featuring - Passenger class.mp4

14:50

8. Plots for gender class.mp4

13:29

9. visualizing other parameters.mp4

11:49

10. Feature - Age class.mp4

12:13

11. 11.mp4

18:03

12. 12.mp4

17:35

13. 13.mp4

18:08

14. 14.mp4

14:50

15. 15.mp4

10:10

16. 16.mp4

13:29

17. 19.mp4

11:49

18. 27.mp4

13:47

19. 28.mp4

14:41

20. 29.mp4

11:49

Description

Master the data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

What You'll Learn?

Jupyter Notebooks IDE / Anaconda Distribution
Python, we will be using Python3 in this course
Data Analysis Libraries in Python such as NumPy and Pandas
Data Visualization Libraries in Python such as Matplotlib and Seaborn
A resume ready project
You will get to learn through the practical implementation

Who is this for?

Anyone interested in learning Python

Python developers curious about the data visualization libraries

Python developers curious about the data analysis libraries

What You Need to Know?

Basic knowledge of python programming is needed

More details

Description
Learn By Making Project which could be added in the resume
Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analyzing and visualizing data.
This course can be split into 3 key areas:
The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course
The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas
For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly Express
You will be using Google colab, a cloud based IDE for writing the codes.
The course is packed with lectures, code-along videos, coding exercises and quizzes.
On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.
There should be more than enough to keep you engaged and learning! As an addition you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.
The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.
This course is suitable for students of all levels and it doesnâ€™t matter what operating system you use.
Who this course is for:
Anyone interested in learning Python
Python developers curious about the data visualization libraries
Python developers curious about the data analysis libraries
Python developers curious about the data analysis libraries

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Hello Everyone, My name is Shambhavi Gupta , data science enthusiast. I have a good command on python programming language and presently I am working as an Educationalist/ mentor of python for different tech companies. Other than that I have a good command over statistics for data science, libraries for data science like Numpy, Pandas, Seaborn etc.

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