Python for Data Science
Created By
Prof. Raghunathan Rengasamy via Swayam
- 41
- 4 weeks long
- Swayam
- English
Course Overview
The course aims at equipping participants to be able to use python programming for solving data science problems.INTENDED AUDIENCE : Final Year UndergraduatesPRE-REQUISITES : Knowledge of basic data science algorithms
Course Circullum
Week 1:
•BASICS OF PYTHON SPYDER (TOOL)
• Introduction Spyder• Setting working Directory• Creating and saving a script file• File execution, clearing console, removing variables from environment, clearing environment• Commenting script files• Variable creation• Arithmetic and logical operators• Data types and associated operations
Week 2:
Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range
NumPy
• ndArrayWeek 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
Week 4:CASE STUDY
•Regression
•BASICS OF PYTHON SPYDER (TOOL)
• Introduction Spyder• Setting working Directory• Creating and saving a script file• File execution, clearing console, removing variables from environment, clearing environment• Commenting script files• Variable creation• Arithmetic and logical operators• Data types and associated operations
Week 2:
Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range
NumPy
• ndArrayWeek 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
- Reading files
- Exploratory data analysis
- Data preparation and preprocessing
- Scatter plot
- Line plot
- Bar plot
- Histogram
- Box plot
- Pair plot
- if-else family
- for loop
- for loop with if break
- while loop
Week 4:CASE STUDY
•Regression
- Predicting price of pre-owned cars
- Classifying personal income
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This Course Include:
Week 1:
•BASICS OF PYTHON SPYDER (TOOL)
• Introduction Spyder• Setting working Directory• Creating and saving a script file• File execution, clearing console, removing variables from environment, clearing environment• Commenting script files• Variable creation• Arithmetic and logical operators• Data types and associated operations
Week 2:
Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range
NumPy
• ndArrayWeek 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
Week 4:CASE STUDY
•Regression
•BASICS OF PYTHON SPYDER (TOOL)
• Introduction Spyder• Setting working Directory• Creating and saving a script file• File execution, clearing console, removing variables from environment, clearing environment• Commenting script files• Variable creation• Arithmetic and logical operators• Data types and associated operations
Week 2:
Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range
NumPy
• ndArrayWeek 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
- Reading files
- Exploratory data analysis
- Data preparation and preprocessing
- Scatter plot
- Line plot
- Bar plot
- Histogram
- Box plot
- Pair plot
- if-else family
- for loop
- for loop with if break
- while loop
Week 4:CASE STUDY
•Regression
- Predicting price of pre-owned cars
- Classifying personal income
- Provider:Swayam
- Certificate:Paid Certificate Available
- Language:English
- Duration:4 weeks long
- Language CC: