Python for Data Science, Machine Learning and AI (Beginners)
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python was created by Guido van Rossum in the late eighties and early nineties. Like Perl, Python source code is also now available under the GNU General Public License (GPL)
This is a complete python programming tutorial for beginners. All the topics from basic to advanced are covered with examples to understand the concepts better. Once you complete the course you will be able to write complex code using python.I am sure you are going to love the python than any other programming language for rest of your life.
This tutorial has been designed for software programmers with a need to understand the Python programming language starting from scratch. This tutorial will give you enough understanding of the Python programming language from where you can take yourself to a higher level of expertise.
What you’ll learn
- Write their own Python code according to the requirement
- Get strong knowledge of python basics and advanced topics
- Understand any python code and make modification
- Data Science Concepts With Python
Course content
Introduction To Python Programming Language
- Preview
- Welcome
- Basics
- Commenting
Variables and Data Types
- Variable
- User entered data
- Operators
- Basic Operators in python
Decision Making in Python
- If statement
- If-else statements
- Program to print odd or even
- Program to find vowel
- Find the greatest number
Looping Through With Python
- For Loop
- While Loops
- Program to print factorial of a number
- Program for multiplication table
- Multi multiplication table
- Exponential Program
- Break statement
- Continue statement
- Password Example program
Functions and Modules
- Functions and Modules
- User-defined functions
- Functions with arguments
- Creating modules and importing in our program
List, Tuple, and Dictionary
- List introduction
- List methods
- Tuples
- Dictionaries
Data Analysis with Pandas
- Getting Started with Pandas
- Loading Data in Python from CSV, Excel, TXT, and JSON Files
- Indexing and Slicing Dataframes
- Dropping Dataframe Columns and Rows
- Updating and Adding New Columns and Rows
Python – Machine Learning & Data Science – I
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
Python – Machine Learning & Data Science – II
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
Python – Machine Learning & Data Science – III
- Python – Machine Learning with SciKit Learn, including
- Linear Regression
Project Building With AI
Building Real World Applications with AI
- AI Dictionary with Python
- Making a Web Map of Volcanoes and Population with AI and Python
- Data Analysis and Visualization with Pandas and Matplotlib
International student Fee : 300 $ | 1,125 SAR | 1,125 AED
Requirements
- No prior programming knowledge is required
- Only you need is the will to learn
Who this course is for:
- Who are interested in learning python programming
- Who wants to start their career in software industry
- Who want to become a Programmer
International student Fee : 300 $ | 1,125 SAR | 1,125 AED
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