36000
23472.5*
NO COST EMI : 3912.0833333333 p.m for 6 Months
*Offer valid till 28th July 2024
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions
• Functions basics
• Function Parameter passing
• Iterators
• Generator functions
• Lambda functions
• Map, reduce, filter functions
• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations
• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis
• Oops basic concepts.
• Creating classes
• Inheritance
• Polymorphism
• Encapsulation and Abstraction
• Decorator
• Class methods and static methods
• Special (magic/dunder) methods
• Property decorators - getters, setters, and deletes
• Working with files
• Reading and writing files
• Buffered read and write
• Other file methods
• Logging & Debugger
• Modules and import statements
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• What is web API
• Difference b/w API and web API
• Rest and soap architecture
• Restful services
• Introduction to Flask
• Flask application
• Open link flask
• App routing flask
• URL building flask
• Http methods flask
• Templates flask
• Setting up Project Environment and folders
• Working with Git Repository
• Requirements and Project Documents
• Hands-on Python Project coding
• Deploying the Application
Python is widely utilized in web and software development, automation of tasks, as well as data analysis and visualization. Its user-friendly nature has made it accessible to non-programmers, including professionals like accountants and scientists, who rely on Python for tasks such as organizing financial data.
When it comes to code execution, Python relies on an interpreter to process code line by line, whereas C++ is pre-compiled, giving it a significant speed advantage over Python for many applications.
While Python is slower than Java in terms of execution speed, its strengths lie in its versatility, readability, and simplified syntax. According to Stack Overflow, Python ranks as the fourth most popular programming language due to its wide range of applications.
With its straightforward syntax, Python is an excellent language for newcomers to programming. Its versatility further enhances its appeal, making it suitable for a variety of tasks and industries.
The choice between Python and HTML depends on the developer's goals. For web development, starting with HTML is the recommended choice. However, for general-purpose programming and a wide range of applications, starting with Python is the preferred option.
Python, with its English-like syntax, is well-suited for beginners, while SQL is also considered relatively easy to learn.
Python is expected to have a significant impact in various domains by 2023, particularly in Data Science and Machine Learning. Its extensive use in tasks such as data analysis, data visualization, and machine learning is attributed to the robust libraries and frameworks available.
Python is highly sought after in India due to its versatility, simplicity, and widespread applicability across diverse fields. In India's growing IT industry, Python continues to experience substantial demand and is poised for further growth and popularity.
Python is an intuitive and easily understandable language for beginners, thanks to its English-like syntax, which promotes readability. Developing coding proficiency requires a solid grasp of fundamental concepts.
Becoming a Python developer is not overly challenging, but it does require discipline to systematically acquire the necessary skills. A methodical approach is essential to master the fundamentals effectively.
To become a Python developer, you should have a bachelor's degree in computer science, information management systems, or a related field. Gain expertise in web frameworks like Django, along with proficiency in HTML, CSS, and the Python programming language. Acquire relevant coding skills and accumulate experience in web development.
Mastering the fundamentals of Python is achievable with two weeks of dedicated full-time study and practice. However, achieving true proficiency may require additional time spent gaining experience through project work.
Python's widespread use stems from its application in website and software development, task automation, and data analysis and visualization. Its accessibility has led non-programmers, including professionals such as accountants and scientists, to adopt Python for everyday activities like financial organization.
The commonly cited seven data types in Python include integers, floats, strings, booleans, lists, tuples, and dictionaries.
The salary of a Python Developer in Hyderabad ranges from INR 7,47,811 per year according to an Indeed report.
Selecting DataMites for Python training in Madhapur offers the advantage of expert trainers and hands-on learning opportunities, focusing on essential skills for data analysis and machine learning.
Enrolling in Python Training at DataMites in Madhapur is beneficial for gaining expertise in a widely used programming language, enhancing career prospects. The training program emphasizes practical, hands-on learning with a curriculum tailored to industry needs.
The Python training course in Madhapur at DataMites spans four months, consisting of 20 hours of live online training and a total of 400 learning hours.
DataMites offers a variety of pricing options for Python training in Madhapur, including INR 36,000 for live online training, INR 22,000 for blended mode learning, and INR 36,000 for on-demand classroom training.
DataMites offers a diverse range of Python courses in Madhapur, covering various topics, including Certified Python Developers training, Python for data science, Data Mining using Python, Machine Learning with Python, and Deep Learning with Python.
The Certified Python Developer Training in Madhapur at DataMites is open to students with diverse educational backgrounds, including graduates, postgraduates, and 12th graders. The program is designed for beginners, focusing on establishing a strong foundation in the core principles of Python.
DataMites in Madhapur offers job placement assistance through its Placement Assistance Team (PAT), dedicated to helping Python training course graduates connect with job opportunities. PAT supports students with resume building, mock interviews, and interview preparation to ensure their readiness for successful job placements.
DataMites follows a comprehensive learning methodology that includes theory, hands-on exercises, case studies, project work, and model deployment. This approach ensures a holistic understanding of the subject matter.
DataMites provides a Flexi-Pass option, allowing participants to access training sessions for three months. This flexibility enables individuals to address questions, engage in revision, and attend additional sessions to meet their specific learning needs.
Prospective learners at DataMites have the opportunity to attend a complimentary demo class. This allows individuals to experience the training approach, explore course content, and gain insights into what the program entails before making any commitments.
DataMites awards participants the prestigious IABAC® certification for Python upon successful completion of the training. This internationally recognized certification validates one's proficiency in Python programming and holds global credibility, showcasing the individual's expertise.
Participants can choose from various payment methods for the DataMites Python training course in Madhapur, including cash, credit card, American Express, net banking, check, debit card, PayPal, Visa, and MasterCard.
DataMites in Madhapur utilizes a blended training approach for Python courses, combining live online sessions with classroom training. This unique combination provides learners with flexibility and convenience, catering to diverse learning preferences and delivering a comprehensive and well-rounded educational experience.
Yes, participants are required to bring valid photo ID proofs, such as a national ID card or driver's license, to the training session as a mandatory requirement.
Indeed, DataMites offers offline artificial intelligence training in Madhapur, with the flexibility to organize sessions in additional locations based on candidate demand and availability.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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