Data Science with Python Course Syllabus
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The preferred language for data science is Python. Our data science with python course syllabus will provide you with the hands-on skills you need to analyze data, create machine learning models, and use Python to glean insightful information from data. You will build a solid basis for a prosperous career in data science and obtain practical experience with important Python packages through our python for data science syllabus. Our syllabus of python for data science uses the Python programming language to provide students a hands-on introduction to data science.
Course Syllabus
Download SyllabusIntroduction of Python
- Why do we need Python?
- Program structure
Execution Steps
- Interactive Shell
- Executable or script files
- User Interface or IDE
Data types in Python
- Memory management and Garbage collections
- Object creation and deletion
- Object properties
Data Types and Operations
- Numbers
- Strings
- List
- Tuple
- Dictionary
- Other Core Types
Loops and expression in Python
- Assignments, Expressions and prints
- Statements and Syntax
- If tests and Syntax Rules
- While and For Loops
- Iterations and Comprehensions
User defined function in Python
- Functions
- Function definition and call
- Function Scope
- Arguments
- Function Objects
- Anonymous Functions
Exception handling in Python
- Exception Handling
- Default Exception Handler
- Catching Exceptions
- Raise an exception
- User defined exception
Data Science Data Science and AI
- All the topics in data science will covered with following concept:
- All the topics in data science will covered with following concept:
- Mathematics beside of each model
- Which scenario we want to use a particular algorithm
- How to apply it in tool
- An inferential thing of each model
Difference between each model
- Introduction to Machine Learning & Predictive Modelling
- Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
Statistics
- Standard Deviation
- Variance
- Concept of hypothesis testing
- T-test
- Chi-square
- Anova
- Correlation
- Probability
- Outliers
- Drop highly correlated features
Acquire the necessary skills for a prosperous career in data science, students will learn how to use Python’s robust libraries to gather, clean, analyze, visualize, and model data with our python with data science syllabus.
