Data Analysis and Visualization using Python in Hindi

What you'll learn

• Project on data analysis.

• Data visualization using various plots like line plot, scatter plot, bar plot, pie plot, suplots etc and multiple plots in same graphs and many things

• Pandas (Series, DataFrames creation, and operations on them in deep) and working on Datasets.

• Working with multidimensional array

• Working with mathematical operations and various Numpy functions

• Installation of Jupyter Notebook using anaconda

• Indexing and slicing in deep using both Numpy and Pandas (i.e. loc and iloc)

• Axis in 2D and 3D array

Description

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

• What is Numpy and how to use it?

• You'll learn how to download install Anaconda.

• Learn about 1D, 2D, 3D arrays, how to create them, accessing them, changing them.

• Learn how Numpy array is better than a simple List with code.

• Learn axis in 2D array and 3D array which is too confusing to understand.

• 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.

• Learn Various Numpy functions like vertical stacking, horizontal stacking, mean, sum, variance, standard deviation.

• Learn Indexing and Slicing.

• We'll do an exercise in which we learn to solve different Numpy related questions.

2. Pandas

• What is Pandas and how it is useful in data analysis?

• Learn about the Series Data Structure, create them with a tuple, list, and dictionary.

• Querying a Series

• Learn Indexing and Slicing using loc and iloc in 1D, 2D, and 3D arrays.

• Learn the DataFrame Data Structure, create them, analyze them, accessing them, etc

• Learn Reading data from files.

• Learn Indexing DataFrames.

• Learn to handle Missing Values

3. Matplotlib

• Learn what is Matplotlib, why, and how to use it.

• Learn the Line plot and all operation on that plot like adding and changing the style of markers, legend, shape, face color, etc.

• Setting x and y-axis and use your data on the x and y-axis.

• Learn Subplots.

• Learn Pie Plot.

• Learn the Scatter Plot.

• Learn Bar plot

4. Data Analysis Project

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

• how to handle new data.

• how to read datasets.

• how to merge two datasets.

• Removing unnecessary rows and columns.

• Arrange dataset according to your need.

• Plot the datasets.

• Barplot with subplots.

• Barplot with multiple plots in a single diagram.

• ETC.

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