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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 known for its simplicity and readability.
Python is used for a wide range of applications, including web development, data analysis, machine learning, artificial intelligence, and scientific computing.
Skills required for Python Programming include an understanding of programming concepts like variables, data types, loops, and functions, proficiency in using Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization, and knowledge of frameworks like Django and Flask for web development.
Tools for Python Programming include an IDE or text editor like PyCharm or VS Code, a Python interpreter, a version control system like Git, and libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
Python skills are in high demand for various job roles such as software developer, data analyst, machine learning engineer, web developer, and scientific researcher.
The eligibility criteria for learning Python course in the New York is a basic understanding of mathematics and programming concepts is beneficial.
The Python course fee in New York City ranges from USD 36.99 to USD 489.32.
The duration of Python training can differ based on various factors like the course level, training intensity, and delivery mode. Usually, completing a basic Python course may take around 4 to 10 weeks, whereas an advanced course may take 10 to 15 weeks. However, the duration of online Python courses might vary slightly compared to classroom-based training.
The salary of a Python developer in New York City ranges from USD 93,474 per year according to a Glassdoor report.
DataMites is a highly regarded institution in the New York City that offers a complete Python programming course, which covers all the fundamental aspects of the language. This program caters to both beginners and advanced learners, making it an excellent choice for anyone looking to enhance their Python skills.
DataMites Institute is a noteworthy choice for Python training given its all-inclusive program, proficient trainers, and adaptable delivery methods. Additionally, their practical approach to training that emphasizes hands-on projects, along with placement support, renders them a highly sought-after option for learners aiming to enhance their Python skills.
DataMites stands out as a prime pick for Python training because of its extensive curriculum, seasoned instructors, and adaptable delivery modes. Moreover, their hands-on training methodology that emphasizes practical application through projects, coupled with post-training placement support, makes them an ideal choice for learners looking to enhance their Python skills and advance their professional prospects.
DataMites offers Python courses with flexible durations to accommodate diverse learning requirements. The foundational Python course can be completed in 4 to 6 weeks, while the advanced course may take up to 12 weeks. The online Python course is designed to be self-paced, allowing learners to learn at their preferred speed. Furthermore, DataMites presents a Certified Python Developer Course in New York City, which spans over four months.
The fees for Python courses at DataMites in New York City are flexible, starting from USD 246 to USD 380 while the Certified Python Developer Training costs range between USD 246 to USD 410.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
DataMites has introduced a distinctive program called Flexi Pass, which permits learners to handpick and participate in any three courses of their preference from a diverse selection of courses offered by DataMites throughout the year. This program empowers learners to select courses that align with their career aspirations and complete them at their own pace and convenience. Additionally, the Flexi Pass comes with supplementary benefits such as access to webinars, workshops, and recorded sessions, making it an ideal choice for learners looking to enrich their skill sets and broaden their knowledge in various domains.
Certainly, a complimentary demo class will be offered to give you a brief overview of the training process and what it entails.
DataMites does not conduct Python training in traditional classroom settings in New York City. Instead, they offer online training programs that enable learners to study at their own pace and convenience from any location. These online courses cater to learners of all levels, from beginners to advanced, and are instructed by seasoned trainers.
DataMites provides a certification exam to learners upon completion of the Python training program, which is recognized by various organizations and industries as evidence of the learner's proficiency in Python programming. Achieving this certification can boost learners' career growth and open up new job opportunities. Additionally, DataMites assists learners in preparing for the certification exam, ensuring that they are adequately trained and confident in their abilities.
The different payment methods available for DataMites Python training Online are:
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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