Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 6.52 GB | Duration: 16 section | 224 lectures | (21h 52m)

Installation of python and related libraries.

What you'll learn

Learn Complete Exploratory Data Analysis on the Latest Covid-19 Dataset

Learn EDA on Kaggle's Boston Housing and Titanic Datasets

Learn IPL Cricket Matches and FIFA World Cup Matches Analysis and Visualization

Learn Data Visualization by Plotly and Cufflinks, Seaborn, matplotlib, and Pandas

Learn Interactive plots and visualization

Covid-19 Data Visualization

Covid-19 Dataset Analysis and Visualization in Python

Data Science Visualization with Covid-19

Use the Numpy and Pandas in data manipulation

Learn Complete Text Data EDA

Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots, Scatter Plots, Heatmaps

Learn Data Analysis by Pandas.

Use the Pandas module with Python to create and structure data.

Customize graphs, modifying colors, lines, fonts, and more

Requirements

No introductory skill level of Python programming required

Have a computer (either Mac, Windows, or Linux)

Desire to learn!

Description

Are you ready to start your path to becoming a Data Scientist!

KGP Talkie brings you all in one course. Learn all kinds of Data Visualization with practical datasets.

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations!

This is a very unique course where you will learn EDA on Kaggle's Boston Housing, Titanic and Latest Covid-19 Datasets, Text Dataset, IPL Cricket Matches of all seasons, and FIFA world cup matches with real and practical examples.

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $110,000 in the United States and all over the World according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both bners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 200+ Full HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive courses on Complete Data Visualization in Python.

We'll teach you how to program with Python, how to analyze and create amazing data visualizations with Python! You can use this course as your ready-to-go reference for your own project.

Here just a few of the topics we will be learning:

Programming with Python

NumPy with Python

Using Pandas Data Frames to solve complex tasks

Use Pandas to Files

Use matplotlib and Seaborn for data visualizations

Use Plotly and Cufflinks for interactive visualizations

Exploratory Data Analysis (EDA) of Boston Housing Dataset

Exploratory Data Analysis (EDA) of Titanic Dataset

Exploratory Data Analysis (EDA) of Latest Covid-19 Dataset

and much, much more!

By the end of this course you will:

Have an understanding of how to program in Python.

Know how to create and manipulate arrays using numpy and Python.

Know how to use pandas to create and analyze data sets.

Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

Have an amazing portfolio of python data analysis skills!

Have experience of creating a visualization of real-life projects

Enroll in the course and become a data scientist today!

Who this course is for:

Bners python programmers.

Bners Data Science programmers.

Students of Data Science and Machine Learning.

Anyone interested in learning more about python, data science, or data visualizations.

Anyone interested about the rapidly expanding world of data science!

Developers who want to work in analytics and visualization project.

Anyone who wants to explore and understand data before applying machine learning.



DOWNLOAD
uploadgig