This course is designed for initiating a learning path to machine learning. Data science and Artificial Intelligence. Introducing to beginners startup choice of easy and versatile programming language and upskilling the most popular server side programming language
Fee discount
upto 80%.
Are you eligible
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Why Python is so important
Professionals employed
1.5 to 2 million
Based on data from job portals and industry reports, it is estimated that there are approximately 1.5 to 2 million professionals employed in roles that require Python skills in India.
Expected to grow
20-30%
With the increasing adoption of Python in data science, machine learning, web development, and automation, the number of Python professionals is expected to grow by 20-30% annually over the next five years.
No of Profiles listed
500,000
Over 500,000 Python-related job profiles are listed on Naukri.com, one of India's largest job portals. A search for Python-related job titles (e.g., Python Developer, Data Scientist, Full Stack Developer) on LinkedIn in India shows over 1 million profiles.
1,00,000 Openings
Currently there are over 1,00,000 Job openings for roles
requiring Python skills in India.
source: Including Naukari, LinkedIn, Glassdoor
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Professional Opportunities
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Web Development
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Backend Developer
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Full Stack Developer
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Data Science & Data Analyst
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Data Scientist
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Date Analyst
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Machine learning & AI
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Machine Learning Engineer
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Data Engineer
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Automation & Scripting
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Automation Engineer
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DevOps Engineer
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Professional Opportunities
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Web Development
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Backend Developer
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Full Stack Developer
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Data Science & Analytics
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Data Scientist
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Date Analytics
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Machine learning & AI
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Machine Learning Engineer
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Data Engineer
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Automation & Scripting
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Automation Engineer
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DevOps Engineer
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Course Curriculum
- Python History
- Python Applications
- Python Install
- Python Path
- Python Example
- Execute Python
- Python Variables
- Python Data Types
- Working with Inputs
- Python Keywords
- Python Literals
- Python Comments
- Sample Programs for the above
- Arithmetical Operators
- Relational Operators
- Logical Operators
- Assignment operators
- Sample programs for the above
- Simple IF
- If and Else
- Nested If
- Sample program using if conditions
- Python for loop
- Python while loop
- Iterators in Python
- With Sample program
- Python break
- Python continue
- Python pass
- Usage with program
- Handling string format with f-string
- capitalize(), center(), count(), endswith()
- format(), rjust(), ljust()
- len(), replace(), upper(), lower()
- split()
- With Examples
- abs() , cmp(), exp(),log()
- log10(),min(), max()
- power(),round(), sqrt()
- Required argument function
- Keyword argument function
- Varying argument Functions
- Default argument functions
- Position only parameter functions
- Lambda Implementations in Python
- Lists
- Tuples
- Named Tuple
- Sets
- Default set, Frozen Set
- Union, Intersect , Minus
- Python Files I/O
- Create file using "r", "w" ,"a" modes
- Python Modules
- Python OOPs Concepts
- Python Class designing
- Object creation and handling class properties through object
- Python Constructors and overloading of constructor
- Method overloading in class
- Python Inheritance with single multi-level and Hierarchy
- Python multiple inheritance implementation
- Types of Exceptions in python
- Using try, except keyword
- Else usage in exception handling
- Usage of finally keyword
- User defined exceptions
- Configure database
- Connecting to Oracle
- Connecting to Mysql
- Adding mandatory plugins
- CRUD operations in Python with Database
- Introduction to Web Application and Flask
- Creating the Virtual Environment and Installing Flask
- Using Route in the Flask
- Using static content in the Flask
- Using Templates in the Flask
- Implementing Session and Cookies in the Flask Web Application
- Integrating Database in the Flask Application
- Introduction to NumPy
- Installation of Anaconda and Using Jupiter Note Book tool
- Implementing Data structures in Pandas
- Series
- Data Frame
- Analyzing the Data Present in the csv file by loading it into Data Frame
- Data Visualization
- Using matplotlib
Tools
Case Study
- Developing Basic Student Information System using Flask Frame Work
- Performing Basic Analysis with the Sample Business Data using Pandas Library
Certifications
After this course you can go for the following certifications
What will you Learn
Object Oriented Programming in Python
Object-Oriented Programming in Python allows developers to create modular, reusable, and scalable code by leveraging classes, objects, and principles like encapsulation, inheritance, and polymorphism.
Data Analytics with Python
Data analytics with Python empowers users to efficiently analyze, visualize, and interpret data for data-driven decision-making.
Web application with Python
Building web applications with Python allows developers to create dynamic, scalable, and secure applications using powerful frameworks.
Python And Databases
Python integrates with databases, enabling efficient data storage, retrieval, and management for building robust applications.
Advanced Programming with Lambda
Advanced programming with Python's lambda functions enables concise, anonymous function creation for efficient, functional-style code in complex operations.
Key Highlights
Trainer with 20+ years industry expertise
Hands-on Practical Training
Program materials
Recognized course completion certificate
Recordings available online post session
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+91 8367700222
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