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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 a high-level, interpreted, and general-purpose programming language known for its simplicity, readability, and versatility.
Python was created by Guido van Rossum in the late 1980s and was first released in 1991. Guido Van Rossum is a Dutch programmer and computer scientist who worked for Google and Dropbox.
Java is a statically typed language, while Python is dynamically typed. Java is faster and more scalable than Python, but Python is easier to learn and use. Java is widely used for developing enterprise applications, while Python is commonly used for scientific computing, web development, and artificial intelligence.
Python programming language has numerous benefits, including its simplicity, readability, versatility, and availability of third-party libraries. Python is easy to learn and use, making it an ideal language for beginners. It is also commonly used for scientific computing, data analysis, web development, and artificial intelligence.
Python is used in a wide range of fields, including scientific computing, web development, data analysis, artificial intelligence, and machine learning. Job roles that commonly use Python include data analysts, data scientists, software developers, web developers, and machine learning engineers.
Anyone with an interest in programming can learn Python courses. Python is an ideal programming language for beginners, and no prior programming experience is required to start learning Python.
Python course fees vary depending on the institution and location. However, the average cost of a Python course ranges from $500 to $3000.
Basic programming skills such as logic, algorithms, and control structures are required to learn Python. Additionally, a basic understanding of mathematics, particularly statistics, is useful in data analysis and machine learning.
A python developer salary in Austin is $120,944 per annum as per Indeed.com.
To learn Python, there are no formal education prerequisites. Anyone can learn and use Python. Basic programming knowledge, problem-solving skills, and logical thinking are beneficial for mastering Python programming.
Python Certification verifies the expertise and knowledge of the certification holder in the Python programming language. This certificate adds credibility to one's resume and demonstrates that the certificate holder is skilled in Python programming. Furthermore, it may open up new job opportunities and increase the likelihood of being hired by a top organization.
Data science relies heavily on Python due to its adaptability, user-friendliness, and wide-ranging set of libraries and tools designed for data exploration and machine learning. As a result, acquiring proficiency in Python is often viewed as a must-have skill for individuals pursuing a career in data science. Moreover, learning Python can provide substantial benefits to anyone keen on exploring data-driven decision-making, as it provides access to a wealth of resources and expertise through its expansive user base.
For those seeking to become proficient in Python, the Certified Python Developer Course is an excellent choice. The course is carefully crafted to provide a clear and concise introduction to the language, allowing students to progress rapidly from novice to advanced levels.
The DataMites Certified Python Developer Training in the Austin is an entry-level course, which means there are no prerequisites for enrollment. We teach Python from the ground up, so you'll acquire a thorough understanding of its core principles and techniques. This knowledge will help you overcome any Python-related challenges that you might face.
DataMites™ is a reputable global institute specializing in data science, certified by the International Association of Business Analytics Certification (IABAC). With over 25,000 students enrolled in our courses worldwide, we offer high-quality and effective training. Our three-step learning method provides a comprehensive understanding of the subject matter.
In Phase 1, we provide self-study materials such as videos and books to help candidates learn the syllabus. Phase 2 is the primary phase, which involves intensive live online training. In Phase 3, candidates engage in practical project work and placements. The entire training program includes real-world projects and case studies that are highly relevant. Upon completing the training, you will receive a global certification from IABAC, which is highly respected in the industry. Furthermore, you will have the opportunity to intern with Rubixe, a top global technology company.
Python Training at DataMites is designed to cater to the specific needs of each student. The duration of the course will depend on the specialization you select, with the training typically lasting 2 to 3 months. The training sessions are conducted on weekdays and weekends, so you can choose whichever is convenient for you. Our Python Developer Course spans 3 months, while all other specialization courses are completed within 2 months.
The Python courses offered at DataMites in the Austin have varying fees depending on the mode of training that you choose. The Python Course Fees range from 253 USD to 380 USD, while the Certified Python Developer Training Fees in the Austin vary from USD 253 to 418 USD, depending on the mode of training you opt for.
Unfortunately, DataMites does not provide offline Python training in Austin. Nevertheless, their online Python training program is a great alternative and offers learners the convenience and flexibility of studying from anywhere.
DataMites Flexi-Pass for Python Training in Austin gives candidates a three-month window to attend sessions on any questions or revisions they need to clarify.
After finishing the course, you will receive a Course Completion Certificate from us, acknowledging your successful completion of the program.
Absolutely, we provide a complimentary demo class to give you a glimpse into the training and what it entails.
You can pay using any of these methods:
Cash, Net Banking, Check, Debit Card, Credit Card, PayPal, Visa, Mastercard, or American Express.
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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