Tech & IT
Business
Coding & Developer
Finance & Accounting
Academics
Office Applications
Art & Design
Marketing
Health & Wellness
Sounds & Music
Lifestyle
Photography
Free
7 days left at this price!
This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
Get Unlimited Learning Access
$29
7 days left at this price!
30-Day Money-Back Guarantee
This plan includes
- Access to 11,000+ Courses
- Ads free experience Courses
- Play & Pause Course Videos
HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Direct Support
- Email & Chat Support
- Cancel Anytime
$29
$29
What you'll learn?
- Matplotlib Introduction.
- PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot.
- Multiple Plots in a Graph.
- Seaborn Plotting Functions.
- Plotting with Categorical Data.
- Multi-Plot Grids.
- Plot Aesthetics.
- What is Data Science.
- What is Machine Learning.
- Data Visualization using Pandas.
Course Overview
If you want to work in exciting analytics and data visualization project, then this is the starting point for you.
Data is the currency of now and potential to use it the right way, at the right time for the right reason gives you possibility beyond imagination.
Data visualization is a vast topic and consist of many sub-parts which are a subject in itself, we in our course have tried to paint a clear picture of what you need to know and what people will be looking of you in a visualization project.
UX in Data visualization is key in modern times to meet the expectation of your user, this course will highlight what are the benefits of using a good UX and how to do it.
This course is structured to provide all the key aspect of Data visualization in most simple and clear fashion.So you can start the journey in Data visualization world.
Pre-requisites
- Just some high school mathematics level.
Target Audience
- Beginner Python developers curious about Data Science.
Curriculum 11 Lectures 04:13:45
-
Section 1 : Introduction.
-
Section 2 : Matplotlib Introduction.
- Lecture 1 :
- Matplotlib Introduction.
-
Section 3 : PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot.
- Lecture 1 :
- PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot.
-
Section 4 : Multiple Plots in a Graph.
- Lecture 1 :
- Multiple Plots in a Graph.
-
Section 5 : Seaborn Plotting Functions.
- Lecture 1 :
- Seaborn Plotting Functions.
-
Section 6 : Plotting with Categorical Data.
- Lecture 1 :
- Plotting with Categorical Data.
-
Section 7 : Multi-Plot Grids.
- Lecture 1 :
- Multi-Plot Grids.
-
Section 8 : Plot Aesthetics.
- Lecture 1 :
- Plot Aesthetics.
-
Section 9 : What is Data Science.
- Lecture 1 :
- What is Data Science.
-
Section 10 : What is Machine Learning.
- Lecture 1 :
- What is Machine Learning.
-
Section 11 : Data Visualization using Pandas.
- Lecture 1 :
- Data Visualization using Pandas.
Our learners work at
Frequently Asked Questions
-
How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
-
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions. -
Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
Instructor
399711 Course Views
7 Courses
Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.
My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.
Having publications and patents in various fields such as machine learning, data security, and data science technologies.
I received my Masters of Technology in Computer Science & Engineering from JNTU.
Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.
View More...
