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30-Day Money-Back Guarantee
Development Data Science Data Visualization

Data Visualization in Python Masterclass™: Beginners to Pro

Visualisation in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Highest Rated
Rating: 4.5 out of 54.5 (558 ratings)
24,817 students
Created by Laxmi Kant
Last updated 2/2021
English
English [Auto]
30-Day Money-Back Guarantee

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
  • 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

Course content

16 sections • 225 lectures • 21h 52m total length

  • Preview03:10
  • Preview00:28
  • DO NOT SKIP IT | Introduction
    00:18
  • Q&A Support
    00:15
  • Course Overview
    05:54
  • Preview06:04
  • Anaconda Installation for Mac OS
    06:37
  • Anaconda Installation on Ubuntu OS
    03:24
  • Preview09:09
  • Jupyter Notebook Shortcuts Article
    00:02
  • Test Yourself
    4 questions

  • Preview01:22
  • Data Types: Numbers
    07:00
  • Variable Assignment
    05:25
  • String
    07:51
  • Test Yourself
    2 questions
  • List
    04:16
  • Set
    03:47
  • Tuple
    02:40
  • Dictionary
    03:55
  • Test Yourself
    2 questions
  • Boolean and Comparison Operator
    03:36
  • Logical Operator
    04:07
  • Conditional Statements: If Else and Elif
    06:42
  • For and While Loops in Python
    06:13
  • Methods and Lambda Functions
    05:31
  • Test Yourself
    2 questions
  • Do you know?
    6 questions

  • Preview00:55
  • Array
    10:34
  • NaN and INF
    07:43
  • Statistical Operations
    03:28
  • Shape, Reshape, Ravel, Flatten
    02:50
  • Test Yourself
    1 question
  • Sequence, Repetitions, and Random Numbers
    12:36
  • Where
    03:55
  • File Read and Write
    06:28
  • Concatenate and Sorting
    03:26
  • Working with Dates
    03:06
  • Do you Know?
    5 questions

  • Preview00:55
  • DataFrame and Series
    05:15
  • File Reading and Writing
    08:27
  • Info, Shape, Duplicated, and Drop
    05:20
  • Columns
    03:12
  • NaN and Null Values
    05:36
  • Imputation
    05:06
  • Lambda Function
    05:22
  • Test Yourself
    2 questions

  • Preview00:56
  • Data Generation
    07:16
  • Line Plot
    08:36
  • More on Line Plot
    04:19
  • Bar Plot
    05:33
  • Stacked Plot
    04:09
  • Histogram
    09:09
  • Box Plot
    05:29
  • Area and Scatter Plot
    08:25
  • Hex and Pie Plot
    11:28
  • Scatter Matrix and Subplots
    06:33

  • Preview01:44
  • Line Plot
    08:54
  • Label
    01:21
  • Scatter, Bar, and Hist Plots
    07:02
  • Box Plot
    04:00
  • Subplot
    09:16
  • xlim, ylim, xticks, and yticks
    08:39
  • Pie Plot
    08:58
  • Preview03:52
  • Nested Pie Plot
    11:54
  • Labeling a Pie Plot
    14:30
  • Bar Chart on Polar Axis
    09:15
  • Line Plot on a Polar Axis
    04:52
  • Scatter Plot on a Polar Axis
    05:38
  • Integral in Calculus Plot as Area Under the Curve
    14:44
  • Animation Plot Part 1
    04:19
  • Animation Plot Part 2
    08:36

  • Dataset Loading
    08:06
  • Line and Scatter Plots
    05:55
  • Subplots
    08:38
  • Preview02:19
  • Histogram and KDE Plots
    03:57

  • Preview01:49
  • Scatter Plot
    05:52
  • Hue, Style and Size Part 1
    02:49
  • Hue, Style and Size Part 2
    06:01
  • Line Plot Part 1
    04:32
  • Line Plot Part 2
    09:34
  • Line Plot Part 3
    07:48
  • Subplot
    06:58
  • sns.lineplot(), sns.scatterplot()
    06:01
  • Cat Plot
    06:38
  • Box Plot
    03:00
  • Boxen Plot
    04:16
  • Violin Plot
    06:01
  • Preview03:54
  • Point Plot
    02:44
  • Joint Plot
    02:42
  • Pair Plot
    05:02
  • Regression Plot
    02:56
  • Controlling Plotted Figure Aesthetics
    06:26

  • Preview01:05
  • Installation and Setup
    06:47
  • Line Plot
    05:13
  • Scatter Plot
    02:14
  • Bar Plot
    06:01
  • Box Plot and Area Plot
    02:33
  • Preview03:34
  • Spread Plot and Hist Plot
    02:55
  • Bubble Plot and Heatmap
    06:55

  • Preview01:32
  • Data Preparation [Update]
    00:06
  • Data Preparation
    06:54
  • Data Deep Dive
    06:46
  • pd.describe()
    05:31
  • Bar Plot
    05:33
  • Preview06:43
  • Pair Plot
    10:30
  • Distribution Plot
    07:36
  • Scatter Plot
    09:00
  • Heatmap
    11:20
  • Correlated Feature Selection
    08:29
  • Heatmap and Pair Plot of Correlated Data
    06:52
  • Box and Rel Plot
    07:43
  • Preview04:41
  • Joint Plot Part 2
    06:00
  • Linear Regression without ML Part 1
    05:15
  • Linear Regression without ML Part 2
    07:47

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 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!

Who this course is for:

  • Beginners python programmers.
  • Beginners 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.

Featured review

Lionel Robert
Lionel Robert
607 courses
34 reviews
Rating: 5.0 out of 57 months ago
So far a really excellent course! Gets right to the point of EDA in all the essential tools and direct applications that are useful even today. Though he can go a little fast, it's still an impressive course worth the money!

Instructor

Laxmi Kant
Principal Data Scientist at mBreath and KGPTalkie
Laxmi Kant
  • 4.5 Instructor Rating
  • 1,096 Reviews
  • 31,590 Students
  • 6 Courses

I am a Principal Data Scientist at SleepDoc and a Ph.D. in Data Science from the Indian Institute of Technology (IIT). I had also co-founded a company, mBreath Technologies. I have 8+ years of experience in data science, team management, business development, and customer profiling. I have worked with startups and MNC. I have also taught programming at IIT for few years and then later started a YouTube channel, KGP Talkie with 20K+ subscribers. I am very well connected with industry and academia.

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