Phyton Course Features



Live Virtual

Instructor Led Live Online


  • IABAC® , NASSCOM® & JAINx® Certifications
  • 4-Month | 400 Learning Hours
  • 20-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC® , NASSCOM® & JAINx® Certifications
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training

  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


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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.

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Why DataMites Infographic


• 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
• 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 increasingly being adopted by major tech companies such as Google, Facebook, and Amazon. These companies use Python for various purposes, such as web development, data analysis, and machine learning. DataMites Python Course in Baltimore is designed to help individuals learn and apply Python to solve real-world problems. This course provides a perfect blend of theoretical concepts and hands-on coding exercises, equipping students with the knowledge and skills needed to become proficient in Python programming.

Baltimore, the largest city in Maryland, is a hub for innovation and technology. With the rise of data-driven technologies, the demand for Python developers in Baltimore is at an all-time high. Python is used in a wide range of fields, including web development, machine learning, and artificial intelligence, making it a highly sought-after skill in the job market. A python developer salary in Baltimore is USD 104,386 a year as per

Joining DataMites Python Training in Baltimore is the perfect way to upskill and kickstart your career in the field of programming and data science. This Python course is designed to cater to the needs of beginners and experts alike, providing a solid foundation in Python programming. Whether you are looking to switch careers or enhance your skills, this course is the ideal investment in your future.

DataMites Python Course with Internship in Baltimore is another fantastic opportunity to gain practical experience and learn from industry experts. This internship program provides students with the chance to work on real-time projects, collaborate with experienced professionals, and enhance their resume. DataMites Python Course in Baltimore is an excellent investment in your future. With the ever-increasing demand for Python developers in the city, this course provides the perfect opportunity to upskill and stay ahead of the curve. Join today to get started on your path to success!

Along with the python developer course, DataMites also provides data analytics course, deep learning, data engineer, data analyst, r programming, machine learning, mlops, artificial intelligence, tableau, power bi and data science courses in Baltimore.


Python is a high-level, interpreted programming language that is widely used for web development, data science, artificial intelligence, and other applications. It is known for its simplicity, readability, and versatility.

Guido van Rossum introduced the Python programming language in 1991, and since then, it has become one of the most popular programming languages worldwide.

Java is a compiled language, whereas Python is an interpreted language. Python has a simpler syntax, making it easier to learn and read. Python also provides more flexibility and ease of use, while Java is more suitable for building large-scale applications.

Python is a powerful programming language that offers numerous benefits, including its simplicity, readability, versatility, and support for multiple programming paradigms. It also has a large and active community of developers, making it easy to find support and resources.

Python programming is widely used in various industries, including web development, data science, machine learning, artificial intelligence, finance, and more. Job roles that utilize Python programming include data scientists, software developers, machine learning engineers, data analysts, and web developers.

Anyone with a basic understanding of computer programming and an interest in learning a versatile and popular language can learn Python programming. No prior experience in programming is required to start learning Python.

The fee for Python courses varies depending on the institution offering the training, the course format (online or in-person), and the duration of the course. However, many institutions offer affordable and flexible pricing options for their Python courses.

To learn Python programming, one should have basic knowledge of computer programming concepts like variables, data types, functions, and loops. Having experience in programming languages such as Java or C++ can be beneficial, but it is not a requirement for learning Python.

 A python developer salary in Baltimore is USD 104,386 a year as per

To enroll in Python courses in Baltimore, one does not need any specific qualifications or background. However, having some basic programming knowledge and familiarity with concepts like variables, loops, and functions can be beneficial.

Python certification can add credibility to one's skills and knowledge of the programming language, making it easier to find job opportunities and advance in one's career. It also demonstrates a commitment to continued learning and professional development in the field of technology.

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Python's popularity in data science can be attributed to its flexibility, simplicity, and abundant resources for analyzing data and implementing machine learning algorithms. This makes it a highly sought-after skill for aspiring data scientists. Furthermore, learning Python can offer significant advantages to anyone interested in this field, as it boasts a vibrant and supportive community that can help one stay up-to-date with the latest trends and techniques.

The Certified Python Developer Course in Baltimore is a comprehensive program that provides a comprehensive introduction to the Python language. The course is designed to take students from beginner to advanced levels with ease, thanks to its well-structured curriculum and engaging learning materials.

Anyone interested in Python can enroll in the DataMites Certified Python Developer Training in the Baltimore, as there are no prerequisites for the course. Our curriculum starts from scratch and covers all of the language's essential concepts and tools. By the end of the course, you'll have a solid foundation in Python, enabling you to tackle various real-world programming problems with ease.

DataMites™ is a globally recognized institute for data science that holds accreditation from the International Association of Business Analytics Certification (IABAC). We have a large student body, with over 25,000 students enrolled in our courses worldwide. Our three-step learning approach aims to provide candidates with a comprehensive understanding of the subject. 

Phase 1 includes self-study materials such as videos and books to help students learn the syllabus. The primary phase, Phase 2, involves intensive live online training. The final phase, Phase 3, includes practical project work and placements. Our training program includes real-world projects and case studies that are highly relevant. Upon completion of the training, you will be awarded a global certification from IABAC, which is highly respected in the industry. Additionally, you will have the opportunity to intern with Rubixe, a top global technology company.

At DataMites, we provide Python Training that varies in duration depending on the specialization you choose. Typically, the training lasts for 2 to 3 months. The training is conducted on both weekdays and weekends, so you can choose any that suits your schedule. The duration of our Python Developer Course is 3 months, while that of all other specialization courses is 2 months.

DataMites offers a range of Python courses with varying fees in the Baltimore. The fees are dependent on the mode of training that you opt for. The Python Course Fees in the Baltimore can range from 253 USD to 380 USD, depending on the mode of training you choose. On the other hand, the Certified Python Developer Training Fees in the Baltimore vary from USD 253 to 418 USD, depending on the same.

While DataMites only offers offline Python training in India, they have a great online Python training program available in Baltimore. This comprehensive training course can be taken at your convenience, and you'll still receive the same high-quality education.

Candidates who opt for DataMites' Flexi-Pass for Python Training in Baltimore have a period of three months to attend sessions relevant to any questions or revisions they want to clear.

Upon completion of the course, we will provide you with a Course Completion Certificate as a recognition of your achievement.

Yes, we offer a free demo class to provide you with a sneak peek into the training process and curriculum.

These are the payment options that we accept:

Cash, Net Banking, Check, Debit Card, Credit Card, PayPal, Visa, Mastercard, and 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: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

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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