KLU-DataAnalysis

You can find all the notebooks of DA and Recorded sessions here

Instructions for attendance

Everyone should compulsory follow the below instruction in order to get the attendance --> Certificate

1. Login format rollnumber-name-college
2. Don't give spaces in roll number or shorcut of your roll number
3. Don't give spaces between rollnumber and name (only - single minus or hyphen character)
4. Make sure roll number should match with the registered roll number
5. Minimum 150 minutes should attend in 180 minutes session with same login format

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Day01 Revision of python(05-Mar-2021)

Discussed Concepts:

1. Introduction to Python
2. Installation of Anaconda
3. Data Types
4. Data Structures
   1. Lists
   2. Tuples
   3. Set
   4. Strings
   5. Dictionary
5. conditions(if,nested if)
6. Loops (for,while)

Day01 Jupyter Notebook [.ipynb format]

[Day01_Recorded_Video]

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Day02 Introduction to data Analysis(06-Mar-2021)

Discussed Concepts:

1. Revision of Python

   1. sets
   2. dictionary
   3. functions

2. Introduction to Data Analysis

3. Introduction to Numpy

4. Installation to numpy

5. creating an array

   1. 1D-array
   2. 2D-array
   3. 3D-array

6. Indexing and Accessing the elements

7. Ravel and flatten

8. Statistical methods

Day02 Jupyter Notebook [.ipynb format]

[Day02_Recorded_Video]

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Day03 Continuation of Numpy andIntroduction to Pandas(08-Mar-2021)

Discussed Concepts:

1. np.ones()
2. np.zeros()
3. np.linspace()
4. Random methods in numpy
5. Pandas Library
6. Create Series
7. Create DataFrames
8. Indexing
9. Sciling
10. Loading a dataset

Day03 Jupyter Notebook [.ipynb format]

[Day03_Recorded_Video]

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Day04 Continuation to Pandas & data Preprocessing(09-Mar-2021)

Discussed Concepts:

1. Data Cleaning
2. Data Preprocessing

Day04 Jupyter Notebook [.ipynb format]

[Day04_Recorded_Video]

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Day05 Matplotlib(10-Mar-2021)

Discussed Concepts:

1. Intoduction to Matplotlib
2. some plot in matplotlib
   1. Line plot
   2. Barplot
   3. pie chart
   4. Histogram
3. How to save an image
4. How to read an image

Day05 Jupyter Notebook [.ipynb format]

[Day05_Recorded_Video]

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Day06 Seaborn(12-Mar-2021)

Discussed Concepts:

1. Intoduction to Seaborn
2. Loading the datsets in Seaborn
3. color palette
4. some plot in seaborn
   1. Strip plot
   2. swarm plot
   3. count plot
   4. bar graph
   5. count plot
   6. Box plot
   7. Violin plot
   8. joint plot
   9. reg plot
   10. Pair plot
   11. Heat Map

Day06 Jupyter Notebook [.ipynb format]

[Day06_Recorded_Video]