4.8 (23,760) reviews 36,000
21,755*
NO COST EMI : 3,626 p.m for 6 Months
*Offer valid till 30th April 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 a high-level, interpreted programming language known for its simplicity and readability. It emphasizes code readability and has a design philosophy that focuses on clear, concise syntax and a large standard library.
Python has a wide range of purposes and applications, including web development, scientific computing, data analysis, artificial intelligence, machine learning, automation, scripting, and more.
Some common examples of Python applications include building websites and web applications using frameworks like Django and Flask, analyzing data with libraries such as Pandas and NumPy, creating machine learning models with libraries like TensorFlow and scikit-learn, and automating tasks with scripting.
To program in Python, it is beneficial to have a solid understanding of programming concepts like variables, data types, control structures, functions, and object-oriented programming. Additionally, knowledge of Python-specific concepts and libraries relevant to your area of interest is valuable.
Python has a vast ecosystem of tools and frameworks. Some commonly used tools in Python programming include integrated development environments (IDEs) like PyCharm and Visual Studio Code, code editors like Sublime Text and Atom, version control systems like Git, package managers like pip, and Jupyter Notebook for data analysis and interactive coding.
There are several job positions associated with Python programming, including Python developer, software engineer, data analyst, data scientist, machine learning engineer, web developer, DevOps engineer, and scientific researcher.
The curriculum for a Certified Python Developer Course may vary depending on the specific program or institution. However, typical topics covered include Python syntax and data structures, control flow, functions, modules, file handling, object-oriented programming, database connectivity, web development with frameworks, testing, and deployment.
The cost of a Python course in India can vary depending on factors such as the institute and the level of the course. Typically, the cost ranges from INR 40,000 to INR 80,000.
The eligibility requirements for learning Python courses in Kota may vary depending on the institution and the specific course. Typically, there are no strict eligibility criteria for learning Python, and anyone with an interest in programming can enroll in a Python course.
The main data types in Python include integers (int), floating-point numbers (float), strings (str), booleans (bool), lists, tuples, sets, and dictionaries.
Both R and Python are widely used in data science, and the choice depends on various factors. Python is known for its versatility and has a larger ecosystem for general-purpose programming and machine learning. R, on the other hand, has a strong focus on statistical analysis and is often preferred by statisticians. Ultimately, the choice depends on the specific requirements and personal preferences.
Python is generally considered more advantageous for machine learning due to its extensive libraries and frameworks such as TensorFlow, scikit-learn, and PyTorch. These libraries
There is no clear superior programming language between R and Python in the realm of Artificial Intelligence; it depends on the specific use case and personal preference.
In Python, a data type refers to the classification or category of a value, indicating the kind of data it represents and the operations that can be performed on it.
A string in Python is defined as a sequence of characters enclosed within single quotes ('') or double quotes ("").
DataMites Institute in Kota offers Python training with several advantages, including experienced faculty, comprehensive course content, hands-on practical sessions, and industry-relevant projects.
Individuals should consider DataMites Python Training in Kota because it provides a solid foundation in Python programming, equipping them with in-demand skills for data analysis, machine learning, and web development.
The training program spans four months and comprises 20 hours of live online training, supplemented by 400 hours of self-paced learning
DataMites in Kota offers Python training courses with different pricing options. They provide live online training for INR 36,000, blended mode learning for INR 22,000, and on-demand classroom training for INR 36,000.
In addition to Python training, DataMites in Kota also offers a variety of other Python-related courses. These include Certified Python Developer, Python for Data Science, Data Mining for Python, Machine Learning for Python, and Deep Learning for Python.
DataMites caters to students with diverse educational backgrounds, including graduates, postgraduates, and 12th graders. Their Python training program is designed specifically for beginners, ensuring a strong understanding of the fundamental principles of the Python language.
DataMites in Kota has a dedicated Placement Assistance Team (PAT) that provides comprehensive support to graduates of their Python training course. The PAT assists students with job connections, resume building, mock interviews, and interview preparation, ensuring they are well-prepared for successful job placements.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
DataMites in Kota offers a Flexi-Pass option for Python training, which provides individuals with flexible access to training sessions for a duration of 3 months. This flexibility allows participants to conveniently address their queries, engage in revision, and attend additional training sessions based on their specific needs
To give prospective participants a glimpse into the training approach and course content, DataMites provides a complimentary demo class. This opportunity allows individuals to gain valuable insights into the training process and develop a clear understanding of what they can expect from the program.
DataMites offers the prestigious IABAC® certification for Python, which is recognized internationally. This certification validates your proficiency in the Python language and serves as a testament to your skills and knowledge in Python programming. It also provides global recognition of your expertise in the field.
The different payment methods available for DataMites Python training in Kota are:
DataMites in Kota provides Python courses that employ a blended training approach, which includes a combination of live online sessions and in-person classroom training. This approach is designed to offer learners flexibility and convenience, accommodating diverse learning preferences and delivering a comprehensive and well-rounded learning experience.
Yes, it is required for candidates attending the training sessions to bring valid Photo ID proofs, such as a National ID card or Driving license, as part of the documentation requirements.
The salary of a Python developer in India ranges from INR 21.6 per year according to a 6 Figr.com report
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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