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What you'll learn?
- Learn and understand the importance of data visualization.
- Learn about basic and advance chart types used in data visualization.
- Get a solid understanding of how people work in data visualization project.
- Learn what is user experience in data visualization and its importance.
- Learn the psychology of visualization with Gestalt Principles.
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
- Having a basic understanding about mathematics.
Target Audience
- People who want to get into data visualization.
- Developers who want to work in analytics and visualization project.
- Web, Mobile App and Software Designer.
- Design thinker.
- Graduate Students and University Students.
Curriculum 21 Lectures 12:51:18
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Section 1 : Introduction.
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Section 2 : Matplotlib Introduction.
- Lecture 1 :
- Matplotlib Introduction.
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Section 3 : PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot.
- Lecture 1 :
- PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot.
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Section 4 : Multiple Plots in a Graph.
- Lecture 1 :
- Multiple Plots in a Graph.
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Section 5 : Seaborn Plotting Functions.
- Lecture 1 :
- Seaborn Plotting Functions.
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Section 6 : Plotting with Categorical Data.
- Lecture 1 :
- Plotting with Categorical Data.
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Section 7 : Multi-Plot Grids.
- Lecture 1 :
- Multi-Plot Grids.
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Section 8 : Plot Aesthetics.
- Lecture 1 :
- Plot Aesthetics.
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Section 9 : Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts.
- Lecture 1 :
- Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts.
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Section 10 : Box Plots.
- Lecture 1 :
- Box Plots.
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Section 11 : Histograms & Line Graphs.
- Lecture 1 :
- Histograms & Line Graphs.
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Section 12 : Scatter Plots & Scatterplot Matrices.
- Lecture 1 :
- Scatter Plots & Scatterplot Matrices.
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Section 13 : Low Level Plotting.
- Lecture 1 :
- Low Level Plotting.
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Section 14 : Bar Plot & Density Plot.
- Lecture 1 :
- Bar Plot & Density Plot.
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Section 15 : Combining Plots.
- Lecture 1 :
- Combining Plots.
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Section 16 : Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot.
- Lecture 1 :
- Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot.
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Section 17 : MatPlot, ECDF & BoxPlot with IRIS Dataset.
- Lecture 1 :
- MatPlot, ECDF & BoxPlot with IRIS Dataset.
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Section 18 : Additional BoxPlot Style Parameters.
- Lecture 1 :
- Additional BoxPlot Style Parameters.
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Section 19 : What is Data Science.
- Lecture 1 :
- What is Data Science.
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Section 20 : What is Machine Learning.
- Lecture 1 :
- What is Machine Learning.
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Section 21 : Summary.
- Lecture 1 :
- Summary.
Our learners work at
Frequently Asked Questions
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Instructor
399715 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.
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