Data Analysis and Visualization using Python in Hindi

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In this course, you’ll get very well knowledge of Numpy, Pandas, and Matplotlib with a project. You will learn all the essential things which are needed in data science and data analysis.


By the end of this course you will learn:

1.NUMPY

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  What is Numpy and how to use it?
  
  
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  You’ll learn how to download install Anaconda.
  
  
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  Learn about 1D, 2D, 3D arrays, how to create them, accessing them, changing them.
  
  
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  Learn how Numpy array is better than a simple List with code.
  
  
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  Learn axis in 2D array and 3D array which is too confusing to understand.
  
  
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  Learn various Mathematical operations that you can perform on Numpy arrays like Addition, Subtraction, Multiplication, Division, Power, sin, cos, tan, Natural log, log base2, log base 10, etc.
  
  
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  Learn Various Numpy functions like vertical stacking, horizontal stacking, mean, sum, variance, standard deviation.
  
  
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  Learn Indexing and Slicing.
  
  
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  We’ll do an exercise in which we learn to solve different Numpy related questions.
  

2. Pandas

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  What is Pandas and how it is useful in data analysis?
  
  
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  Learn about the Series Data Structure, create them with a tuple, list, and dictionary.
  
  
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  Querying a Series
  
  
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  Learn Indexing and Slicing using loc and iloc in 1D, 2D, and 3D arrays.
  
  
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  Learn the DataFrame Data Structure, create them, analyze them, accessing them, etc
  
  
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  Learn Reading data from files.
  
  
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  Learn Indexing DataFrames.
  
  
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  Learn to handle Missing Values
  

3. Matplotlib

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  Learn what is Matplotlib, why, and how to use it.
  
  
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  Learn the Line plot and all operation on that plot like adding and changing the style of markers, legend, shape, face color, etc.
  
  
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  Setting x and y-axis and use your data on the x and y-axis.
  
  
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  Learn Subplots.
  
  
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  Learn Pie Plot.
  
  
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  Learn the Scatter Plot.
  
  
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  Learn Bar plot
  

4. Data Analysis Project

In this project, you’ll be able to learn:

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  how to handle new data.
  
  
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  how to read datasets.
  
  
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  how to merge two datasets.
  
  
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  Removing unnecessary rows and columns.
  
  
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  Arrange dataset according to your need.
  
  
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  Plot the datasets.
  
  
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  Barplot with subplots.
  
  
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  Barplot with multiple plots in a single diagram.
  
  
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  ETC.
  

With Python code notebooks, you will be excellently prepared for a future in data science.

Instructors: Sachin Saini




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