Overview
Course Description
This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language
Important: Python is a language that is widely known for its pragmatic features such as easy readability, database management, security, integration with third-party tools, traffic management, etc. Python is used for data analytics, machine learning, and even design.
What you'll learn
- Introduction To Python
- Writing and Executing First Python Program
- Python Language Fundamentals
- Python Conditional Statements
- Looping Statements
- Standard Data Types
- String Handling
- Python List
- Python Tuple
- Python Set
- Python Dictionary
- Introduction to Statistics
- Probability Distributions
- HypothesisTesting
- Numpy Package
- Panda Package
- Support Vector Machines
- Model Selection Techniques
- Python Functions
- Modules & Packages
- File I/O
- Object Oriented Programming
- Exception Handling
- Regular Expressions(Regex)
- Multi-Threading Programming
- Introduction to Database
- SQL (Structured Query Language)
- Python Database Connectivity
- Exploratory Data Analysis (EDA)
- Data Manipulation & Cleaning
- Data Visualization using matplotlib and seaborn packages
- Introduction To Machine Learning
- KNN Classification
- Performance metrics
- Regression
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Includes
Get Live Recording
69 downloadable
resources
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Assignments
Certificate of
Completion
Includes
Enrolled: 32
students
Duration: 20
hours
Chapters:
15
Video: 12
hours
Level:
Beginner