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Data Visualization and Analytics

Build your Machine Learning Model with the help of Data Visualization and Analytics from IIHT Surat. Learn Numpy, Pandas, IPython, and Matplotlib.

Data Visualization and Analytics | 75 Days75 Days
Data Visualization and Analytics | All LevelsAll Levels
Data Visualization and Analytics | 65 Lessons65 Lessons
Data Visualization and Analytics | 700+ Students700+ Students
Data Visualization and Analytics
  • What is Data?
  • Types of Data
  • Managing the Data
  • Fetching Data (Data Mining)
  • Data Manipulation
  • Data Cleaning & Wrangling
  • Data Transformation
  • Data Validation
  • Data Visualization
  • Numpy
  • Pandas
  • Jupyter
  • Google CoLab
  • Matplotlib / Plotly
  • Seaborn
  • ndArray
  • Data Types
  • Shapes
  • Choosing Best tools and plugin for UI Development
  • Index
  • Slicing
  • Joining
  • Spliting
  • Sorting
  • Filter
  • Transformation
  • Manipulation
  • Fetching
  • What is Pandas & its Advantages?
  • Data Structure
  • Series
  • Panel
  • DataFrame
  • Indexing
  • Sorting
  • Group by Data
  • Missing Data
  • Merging / Joining
  • Iteration
  • Validation
  • Cleaning & Wrangling Data
  • What is visualization
  • Advantages of Data Visualization
  • What is Matplotlib & Plotly chart
  • What is seaborn chart
  • Data visualization Techniques
  • Matplotlib / Plotly
  • Scatter Chart
  • Counts Chart
  • Bar Chart
  • Histogram Chart
  • Barplot Chart
  • Seaborn
  • Heatmap
  • Histogram
  • BarPlot
  • Density Plot
  • Violin plot
  • 3D Graph
  • What is iPython
  • How to make Jupyter interactive?
  • Jupyter theme
  • Audio / Video widgets
  • Image widgets
  • Date & color widgets
  • Button widgets
  • Use of HTML / CSS in Jupyter notebook

Data Visualization and Analytics

 

 

 

 

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