4.46 out of 5
4.46
194 reviews on Udemy

Data Visualization in Python Masterclass™: Beginners to Pro

Visualisation in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Instructor:
Laxmi Kant | KGP Talkie
2,638 students enrolled
English [Auto]
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
Installation of python and related libraries.
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

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 beginners 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!

Introduction

1
Welcome
2
Free Resources!!!
3
Introduction
4
Q&A Support
5
Course Overview
6
Anaconda Installation for Windows OS
7
Anaconda Installation for Mac OS
8
Anaconda Installation on Ubuntu OS
9
Jupyter Notebook Keyboard Shortcuts
10
Jupyter Notebook Shortcuts Article
11
Test Yourself

Python Crash Course

1
Introduction
2
Data Types: Numbers
3
Variable Assignment
4
String
5
Test Yourself
6
List
7
Set
8
Tuple
9
Dictionary
10
Test Yourself
11
Boolean and Comparison Operator
12
Logical Operator
13
Conditional Statements: If Else and Elif
14
For and While Loops in Python
15
Methods and Lambda Functions
16
Test Yourself
17
Do you know?

NumPy Crash Course

1
Introduction
2
Array
3
NaN and INF
4
Statistical Operations
5
Shape, Reshape, Ravel, Flatten
6
Test Yourself
7
Sequence, Repetitions, and Random Numbers
8
Where
9
File Read and Write
10
Concatenate and Sorting
11
Working with Dates
12
Do you Know?

Pandas Crash Course

1
Introduction
2
DataFrame and Series
3
File Reading and Writing
4
Info, Shape, Duplicated, and Drop
5
Columns
6
NaN and Null Values
7
Imputation
8
Lambda Function
9
Test Yourself

Data Visualization with Pandas

1
Introduction
2
Data Generation
3
Line Plot
4
More on Line Plot
5
Bar Plot
6
Stacked Plot
7
Histogram
8
Box Plot
9
Area and Scatter Plot
10
Hex and Pie Plot
11
Scatter Matrix and Subplots

Matplotlib

1
Introduction
2
Line Plot
3
Label
4
Scatter, Bar, and Hist Plots
5
Box Plot
6
Subplot
7
xlim, ylim, xticks, and yticks
8
Pie Plot
9
Pie Plot Text Color
10
Nested Pie Plot
11
Labeling a Pie Plot
12
Bar Chart on Polar Axis
13
Line Plot on a Polar Axis
14
Scatter Plot on a Polar Axis
15
Integral in Calculus Plot as Area Under the Curve
16
Animation Plot Part 1
17
Animation Plot Part 2

Time Series Plots

1
Dataset Loading
2
Line and Scatter Plots
3
Subplots
4
Heatmap
5
Histogram and KDE Plots

Seaborn

1
Introduction
2
Scatter Plot
3
Hue, Style and Size Part 1
4
Hue, Style and Size Part 2
5
Line Plot Part 1
6
Line Plot Part 2
7
Line Plot Part 3
8
Subplot
9
sns.lineplot(), sns.scatterplot()
10
Cat Plot
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.5
4.5 out of 5
194 Ratings

Detailed Rating

Stars 5
123
Stars 4
57
Stars 3
10
Stars 2
1
Stars 1
4
6b09b36864741e2a2f44606a1689df5b
30-Day Money-Back Guarantee

Includes

22 hours on-demand video
5 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion
Don't Miss Any Course Join Our Telegram Channel Join Channel
+ +