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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 an interpreted, high-level, general-purpose programming language that is widely used for web development, scientific computing, data analysis, artificial intelligence, and many other applications.
Python was introduced in 1991 by Guido van Rossum, a Dutch programmer who designed it as a successor to the ABC language.
While both Python and Java are popular programming languages, Python is often considered more user-friendly and easier to learn, with a simpler syntax and fewer lines of code required for many tasks. Java, on the other hand, is often used for large-scale enterprise applications and has a more complex syntax.
Python is a versatile language with many benefits, including a simple and intuitive syntax, high-level data structures, efficient memory management, and extensive support for scientific computing, web development, machine learning, and other applications.
Python is used extensively in a wide range of job roles and professions, including data scientists, software engineers, web developers, artificial intelligence specialists, researchers, and many others.
Anyone with an interest in programming and a basic knowledge of computer systems can learn Python, regardless of age, education, or professional background.
The Python Course Fee can vary depending on the institution and the course format (online, classroom, self-paced, etc.), but generally ranges from a few hundred to a few thousand dollars.
Basic programming concepts such as variables, loops, and functions are essential for learning Python, along with a basic understanding of computer systems and a willingness to learn and experiment with the language.
Python is also one of the highest-paying programming languages in the USA, with an average salary of $114,073 per year. (Indeed)
To enroll in Python courses in the USA, individuals typically need a high school diploma or equivalent, basic computer skills, and a strong interest in programming. Some advanced courses may require prior programming experience or a relevant degree.
Python certification can demonstrate a candidate's mastery of the language and their commitment to professional development. It can also enhance job prospects and lead to higher salaries. However, certification is not always necessary and practical experience and a strong portfolio can be just as valuable in the field of Python programming.
Python is one of the most widely used programming languages in data science due to its versatility, ease of use, and vast range of libraries and tools available for data analysis and machine learning. Therefore, it is often considered a must-have skill for a data scientist. learning Python can be incredibly beneficial for anyone interested in data science. It has a large and active community, making it easy to find resources, support, and answers to questions.
The Certified Python Developer Course is widely regarded as one of the best Python training programs available. Its comprehensive approach to teaching Python from the ground up makes it an ideal choice for students with little to no programming experience. Furthermore, the course is designed to help learners advance to more complex topics, ensuring that they become skilled Python developers.
The DataMites Certified Python Developer Training in USA is a beginner-level course, and as such, there are no prerequisites for enrollment. We designed the curriculum to teach Python from the basics, so you'll have a solid understanding of the language's fundamental concepts and best practices by the end of the course.
DataMites™ is an internationally recognized institute for data science, authorized by the International Association of Business Analytics Certification (IABAC). Over 25,000 students worldwide have enrolled in our courses, which are renowned for their quality and effectiveness. Our three-step learning method is designed to provide a comprehensive understanding of the subject matter.
In Phase 1, we offer self-study materials such as videos and books to help candidates learn the syllabus. The primary phase is Phase 2, which includes intensive live online training. The final phase, Phase 3, involves project work and placements. The entire training program includes practical projects and case studies that are highly relevant to the real world. Upon completion of the training, you will receive a global certification from IABAC, which is highly respected in the industry. Furthermore, you will have the opportunity to undertake an internship with Rubixe, a leading global technology company.
DataMites offers Python Training that is flexible and adaptable to the needs of every student. The course duration varies depending on the specialization you select, with the training typically lasting between 2 to 3 months. You can choose between weekday and weekend classes based on your availability. Our Python Developer Course runs for 3 months, while all other specialization courses are completed within 2 months.
At DataMites, we offer several Python courses with fees that are determined by the mode of training you opt for. The fees for the Python Course in the USA can range from 253 USD to 380 USD, whereas the Certified Python Developer Training Fees in the USA vary from USD 253 to 418, depending on the same.
No, DataMites only holds offline python training in India. In the US, we offer a comprehensive online training in python, that is just as affective as the offline training method and can be taken at your own pace.
The Python Training in USA Flexi-Pass from DataMites allows candidates a three-month period to attend any sessions related to their queries or revisions that they want to clear.
Python for Data Science makes it clear why Data Science and Python are best friends. The course deals with basic data importing, data munging, coding machine learning algorithms, and other programming concepts.
You will be awarded a Course Completion Certificate by us after completing the course, which will recognize your efforts and skills gained during the program.
Certainly, we provide a complimentary demo class that will provide you with insight into the training process and curriculum before making a financial commitment.
Our accepted payment methods include:
Cash, Net Banking, Check, Debit Card, Credit Card, PayPal, Visa, Mastercard, American Express, among others.
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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