Crash Course on- AI & Machine Learning Program
PYTHON
[Beginners to Advanced Level ]
Unlock the Programming for Future
Starting from :
₹ 7500
- Duration : 3-4 months
- Class Duration: 1 – 2 Hours (1 Hour Minimum)
- Class Mode: Online / Offline / Hybrid
Course Description:
Python Coding Course at Ascent Infotech: Unlock Your Potential
Looking for the Best Python Training in Kolkata? Ascent Infotech Python Coding Training Institute offers a dynamic and comprehensive Professional Python course in Kolkata designed to equip you with essential programming skills and specialized knowledge in Python with NumPy and Pandas.
Python Programming Course Modules at Ascent Infotech: Your Path from Beginner to Advanced
Ranked as one of the Top 5 Python Training Institutes in Kolkata, Ascent Infotech combines excellence in education with a focus on real-world skills, making us the best place for a Professional Python course in Kolkata. Our mission is to help you develop the confidence and expertise to succeed in programming and data science.
Why Enroll in Python Coding Class at Ascent Infotech?
Our Python Coding Class in Kolkata stands out for its industry-oriented curriculum and hands-on training approach. The course covers everything from Python basics to advanced data manipulation techniques, making it ideal for students, aspiring data scientists, and working professionals. Here’s what you can expect:
- Python Fundamentals and Advanced Concepts: Learn Python essentials, including syntax, control flow, functions, and object-oriented programming. We build a solid foundation, which is key to mastering more advanced concepts and applications.
- Specialization in NumPy and Pandas: Dive deep into the practical uses of NumPy and Pandas, two of the most widely-used libraries for data analysis and scientific computing.
- Real-World Projects and Case Studies: Our course emphasizes practical application. Students work on real-world projects in data analysis and visualization, ensuring they gain the skills to succeed in today’s competitive tech industry.
- Experienced Trainers and Resources: Our expert instructors bring extensive industry experience to each class.
Why Choose Ascent Infotech?
Ranked as one of the Top 5 Python Training Institutes in Kolkata, Ascent Infotech combines excellence in education with a focus on real-world skills, making us the best place for a Professional Python course in Kolkata. Our mission is to help you develop the confidence and expertise to succeed in programming and data science.
Beginner Level - Establishing the Foundations of Python Programming
1. Introduction to Python Programming
- Overview of Python and its Applications
- Installing Python and setting up IDEs (Jupyter Notebook, PyCharm, etc.)
- Running your first Python script
2. Python Syntax and Basic Constructs
- Variables, constants, and data types (strings, integers, floats, lists, tuples, dictionaries)
- Basic operators and type conversion
- Writing comments and code readability practices
3. Control Flow and Loops
- Conditional statements (if, elif, else)
- Looping structures (for, while)
- Loop control with break, continue, and pass
4. Working with Functions
- Defining and calling functions
- Parameters, arguments, and return values
- Lambda functions and anonymous functions
- Scope and lifetime of variables
5. Error Handling and Debugging
- Types of errors in Python
- Exception handling with try, except, and finally
- Debugging techniques and best practices
Intermediate Level - Building Proficiency in Python Concepts
6. Object-Oriented Programming (OOP) in Python
- Understanding OOP principles (Encapsulation, Inheritance, Polymorphism)
- Defining classes and creating objects
- Constructors, destructors, and methods
- Using inheritance and method overriding
7. File Handling in Python
- Reading and writing files (text, CSV, JSON)
- File modes (read, write, append) and handling paths
- Working with directories and error handling in file operations
8. Modules and Packages
- Using built-in modules and creating custom modules
- Installing external packages with pip
- Practical use of popular libraries (random, math, datetime)
9. Advanced Data Structures
- Lists, dictionaries, sets, and tuples
- Using list and dictionary comprehensions
- Sorting, filtering, and nesting data structures for complex operations
10. Introduction to Regular Expressions (Regex)
- Basics of pattern matching
- Searching, replacing, and extracting data with Regex
- Real-life applications of Regex for data processing
Advanced Level - Specialized Skills for Data Science and Real-World Applications
11. Data Analysis with NumPy
- Introduction to NumPy arrays and operations
- Multi-dimensional arrays and array manipulation
- Mathematical functions and statistical analysis with NumPy
12. Data Manipulation with Pandas
- Pandas data structures (Series, DataFrame)
- Importing/exporting data (CSV, Excel, SQL)
- Data cleaning, filtering, and transformation
- Grouping, merging, and analyzing datasets
13. Data Visualization
- Introduction to visualization with Matplotlib and Seaborn
- Plotting basics (line, bar, scatter plots)
- Customizing graphs for better insights
- Practical visualization for data exploration
14. Web Scraping with BeautifulSoup and Requests
- Understanding the basics of web scraping
- Fetching data with the requests library
- Parsing HTML with BeautifulSoup
- Automating web scraping processes for data collection
15. Working with Databases and SQL
- Introduction to SQL and relational databases
- CRUD operations (Create, Read, Update, Delete) in SQLite
- SQL integration with Python for database management
- Using ORMs (Object Relational Mappers) like SQLAlchemy
Expert Level - Advanced Applications and Real-World Python Projects
16. Automation with Python
- Basics of automation and scripting
- Using os, time, and sched libraries
- Automating repetitive tasks and processes
17. APIs and Data Interchange
- Working with APIs for data retrieval
- Using JSON and XML for data interchange
- Integrating external data into Python applications
18. Introduction to Machine Learning with Scikit-Learn
- Overview of machine learning concepts
- Supervised vs. unsupervised learning
- Loading and processing data with Scikit-Learn
- Building and evaluating simple models
19. Real-World Project Development
- Applying Python to a comprehensive project
- Project options: data analysis, automation, or web scraping
- Hands-on experience from planning to implementation
This comprehensive module path ensures students develop a complete understanding of Python programming from A to Z, establishing Ascent Infotech as the best place to learn Python for anyone aiming to excel in programming, data science, and beyond.