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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 programming language that is high-level, interpreted, and widely used for general-purpose programming. It is popular for its ease of use and readability.
Python has a broad range of applications, such as web development, scientific computing, data analysis, artificial intelligence, and machine learning.
To program in Python, one needs to have a grasp of programming fundamentals such as variables, loops, data types, and functions. Additionally, proficiency in using Python libraries like NumPy, Pandas, and Matplotlib is necessary for data manipulation and visualization. Knowledge of frameworks like Django and Flask is also essential for web development using Python.
The essential tools required for Python programming include an integrated development environment (IDE) or a text editor such as PyCharm or VS Code, a Python interpreter, a version control system like Git, and various libraries like NumPy, Pandas, and Matplotlib that are used for data manipulation and visualization.
There is a high demand for individuals with Python skills in a wide range of job roles, including software developer, web developer, data analyst, machine learning engineer, and scientific researcher.
Having a fundamental understanding of mathematics and programming concepts would be advantageous for individuals looking to enrol in a Python course in Indonesia.
The cost of a Python course in Indonesia can vary from IDR 5412795.00 to IDR 7217060.00.
The length of a Python training program can vary depending on several factors, including the level of the course, the intensity of the training, and the mode of delivery. Generally, a basic Python course can be completed in 4 to 10 weeks, while an advanced course may take 10 to 15 weeks. However, online Python courses may have slightly different durations compared to in-person classroom-based training.
The salary of a Python developer in Indonesia is IDR 159,000,000 per year according to the Salary Explorer report.
DataMites is a reputable institution in Indonesia that provides a comprehensive Python programming course, encompassing all fundamental aspects of the language. The program is designed to suit both novice and experienced learners, making it a great option for those seeking to improve their Python proficiency.
DataMites Institute is an exceptional option for individuals seeking Python training due to its comprehensive program, experienced trainers, and flexible delivery methods. Their emphasis on practical training through hands-on projects and placement support has made them a highly desirable choice for learners looking to improve their Python skills.
DataMites is a top choice for individuals seeking Python training due to its comprehensive curriculum, experienced instructors, and flexible delivery modes. Their practical approach to training, which emphasizes hands-on application through projects, combined with post-training placement support, makes them an excellent option for learners looking to improve their Python proficiency and advance their careers.
At DataMites, Python courses are available in flexible durations to cater to the diverse learning requirements of individuals. The foundational Python course can be completed within 4 to 6 weeks, whereas the advanced course may require up to 12 weeks. The online Python course is self-paced, allowing learners to study at their own pace. Moreover, DataMites provides a four-month-long Certified Python Developer Course in Indonesia.
The course fee for a Certified Python Developer Training Course in Indonesia ranges from IDR 4490199 to IDR 7058828.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
DataMites has launched a unique program called Flexi Pass, enabling learners to choose and enrol in any three courses of their liking from a broad range of courses offered by DataMites throughout the year. This program empowers learners to select courses that align with their career objectives and complete them at their preferred pace and convenience. Furthermore, the Flexi Pass includes additional benefits, such as access to webinars, workshops, and recorded sessions, making it an excellent choice for learners looking to enhance their skill sets and expand their knowledge across various domains.
A free demo class will be provided to give you a brief insight into the training procedure and its components.
DataMites does not provide Python training in conventional classroom settings in Indonesia. Instead, they provide online training programs that allow 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 experienced trainers.
After completing the Python training program, DataMites offers a certification exam to learners. This certification is recognized by numerous organizations and industries as proof of the learner's proficiency in Python programming. Obtaining this certification can enhance learners' career advancement prospects and expand their employment opportunities. Furthermore, DataMites supports learners in preparing for the certification exam, ensuring that they are well-trained and confident in their skills.
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.