Python Training Course
The Education Nest offers a training program for the highly in-demand Python course, which has been designed by experienced professionals to meet the current industry requirements and demands. Our Python Course training is designed to provide you with a comprehensive understanding of all Python programming concepts, including Sequences and File Operations, Conditional statements, Functions, Loops, OOPs, Modules, Handling Exceptions, various libraries such as NumPy, Pandas, Matplotlib, as well as GUI Programming, Web Maps, Data Operations in Python, and more. In this course, every line of code will be explained in a simplified manner. Furthermore, our expert trainer will guide you through the key fundamentals of Python, helping you gain expertise in this area upon completion of the course.
Application Deadline: Jun 30, 2023
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Sambodhi and Education Nest’s Python Training Course is designed to provide a comprehensive understanding of Python programming language. With live project-based training, the course is led by experienced industry experts with over 10 years of experience. Through this course, you will learn Python’s syntax, data types, control structures, functions, modules, and more. This course is ideal for beginners who want to learn programming, as well as for experienced professionals who want to upskill their knowledge. Upon successful completion of the course, you will have the skills necessary to pursue a career as a Python developer, data analyst, or software engineer.
- 60 days of free Cloud Lab access worth ₹4000
- Live Online Classes starting on 15th Apr 2023
4.5
Instructor-led Python live online Training Schedule
May 15th – Weekend
SAT & SUN (5 Weeks) 08:30 PM to 11:30 PM (IST)
July 1st – Weekend
SAT & SUN (5 Weeks) 11:00 AM to 01:00 PM (IST)
Why enroll for Python Certificate Training Course?
The BLS projects 11% growth for computer and IT jobs, including Python developers, due to software demand and data-driven tech.
Python skills are highly demanded by MNCs due to its versatility, ease of use, and numerous applications in data analysis, web development, AI, and machine learning.
Python developers earn an average base pay of $76,526 to $119,038 per year. Annual salary growth ranges from 5% to 10%, with higher growth rates for those with more skills and expertise.
Python Training Course Benefits
As per the recent statistics of 2021 by Statista, Python is utilized by around 29.5% of developers worldwide, making it one of the most preferred programming languages globally. By acquiring Python programming skills, one can gain access to a wide range of opportunities in fields such as web development, data science, and machine learning. Education Nest provides an online Python training program that equips learners with the required skills to become proficient in Python programming and kickstart their careers in this domain. Python learning can lead to several career opportunities such as software development, data science, machine learning, and web development.
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Why Python Certificate Training Course from Education Nest
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
- 1 Year subscription to LMS
Industry Recognised Certification
- Sambodhi & Education Nest Training Certificate
- Graded Performance Certificate
- Certificate of Completion
Scholarship And Fees
- Upto 50% Scholarship
- Availability of EMI payment
- International Payment options
Python Programming Skills Covered
- Basics and Advanced Concepts
- Python Scripts on UNIX/Windows
- Loops And Conditional Statements
- Object-oriented programming
- IDEs and Python Editors
- Python functions
- File Handling
- String
Python Training Course Syllabus
- Introduction to Python
- Need for programming
- Features, Advantages of programming
- Overview of python
- Organizations using python
- Python Applications in various domains
- Variables
- Operands and expressions
- Conditional statements
- Loops and control statement
- Structural pattern matching
- Accepting user input and eval function
- Files input/output functions
- Lists
- Tuples
- Strings manipulation
- Sets and set operations
- Python dictionary
- Object-oriented concepts
- Public, protected and private attributes
- Class variable and instance variable
- Constructor and destructor
- Inheritance and its types
- Method resolution order
- Overloading and overriding
- Getter and setter methods
- User-defined functions
- Function parameters
- Different types of arguments
- Global variables
- Global keyword
- Lambda expression
- Built-in functions
- Standard libraries
- Packages and import statements
- Reload function
- Creating a module
- Important modules in python
- Sys module
- OS module
- Math module
- Date-time module
- Random module
- JSON module
- Regular expression
- Exception handling
- Introduction of data analysis
- NumPy – Arrays
- Array operations
- Indexing, slicing, and Iterating
- NumPy array attributes
- Matrix product
- NumPy functions
- Array manipulation
- File handling using NumPy
- Introduction to Pandas
- Data structures in Pandas
- Series
- Data Frames
- Importing and exporting files in Python
- Basic functionalities of a data object
- Merging of data objects
- Pivoting a dataframe
- Concatenation of data objects
- Types of joins on data objects
- Data cleaning using Pandas
- Exploring datasets
- Why data visualization?
- Matplotlib library
- Seaborn
- Line plots
- Multiline plots
- Bar plot
- Histogram
- Pie chart
- Scatter plot
- Boxplot
- Saving charts
- Customizing visualizations
- Saving plots
- Grids
- Subplots
- Heat maps
- Ipy widgets package
- Numeric widgets
- Boolean widgets
- Selection widgets
- String widgets
- Date picker
- Color picker
- Container widgets
- Creating a GUI application
- Use of Folium library
- Use of Pandas library
- Flow Chart of web map application
- Developing web map using Folium and Pandas
- Reading Information from titanic dataset and represent It using plots
- Basics of database management
- Python MySql
- Create database
- Create a table
- Insert into table
- Select query
- Where clause
- OrderBy clause
- Delete query
- Drop table
- Update query
- Limit clause
- Join and Self-Join
- MongoDB (Unstructured)
- Insert one query
- Insert many query
- Update one query
- Update many query
- Create index query
- Drop index query
- Delete and drop collections
- Limit query
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Why Enroll for “Python Training Course ”
- Duration: 40 hours
- Level of effort: 4 hours per day
- Modality: Online with live classroom sessions and groups assignments
- Limited & partial scholarships available for candidates based on merit
- Discounts on course fees in case of institutional sponsorship, group enrolments, and for participants from grassroots organisations
- Training by corporate professionals and experts with 10+ years of experience in Data Science with Python training industry
- Language: English
- Requirements: access to laptop and internet
- Industry-relevant curriculum designed by industry experts
- 40 hours of instructor-led live virtual training on weekends
- 1-year subscription to enterprise-grade Learning Management System (LMS)
- Globally accredited recognition for students
- Availability of scholarships and EMI payment options
- Training on weekends to cater to working professionals
- Last date for application: 31st May
- Commence date: TBA
Python Training Projects
Industry : Retail
Python is a versatile language used in the retail industry for various applications, including inventory management, sales forecasting, and customer analysis. In the inventory management domain, Python can be used to optimize stock levels, automate order placement, and track product movement. Sales forecasting models can be built using Python to predict demand, optimize pricing, and allocate resources efficiently. In customer analysis, Python can be used to create customer segmentation models, recommend products, and personalize marketing campaigns. Retailers such as Walmart and Amazon use Python extensively in their operations, making it an essential skill for professionals in the industry.
Industry : IT
Python is widely used in the IT industry for various projects, including web development, data analysis, machine learning, and automation. In web development, Python is used in frameworks like Django and Flask to build scalable and dynamic web applications. In data analysis, Python is used with popular libraries like Pandas and NumPy to analyze large datasets and extract insights. In machine learning, Python is used with libraries like TensorFlow and Keras to build and train machine learning models. Finally, in automation, Python is used to automate repetitive tasks and processes, making it an essential tool for DevOps engineers and system administrators.
Python Training Description
Python is widely used in the IT industry for various projects, including web development, data analysis, machine learning, and automation. In web development, Python is used in frameworks like Django and Flask to build scalable and dynamic web applications. In data analysis, Python is used with popular libraries like Pandas and NumPy to analyze large datasets and extract insights. In machine learning, Python is used with libraries like TensorFlow and Keras to build and train machine learning models. Finally, in automation, Python is used to automate repetitive tasks and processes, making it an essential tool for DevOps engineers and system administrators.
Here are some of the objectives of the Python course:
- Introduce the fundamentals of Python programming language.
- Cover the syntax, control structures, and data types of Python.
- Teach object-oriented programming in Python.
- Provide hands-on experience with Python libraries and frameworks like NumPy, Pandas, and Flask.
- Teach web scraping and data analysis using Python.
- Teach machine learning concepts and how to implement them in Python.
- Provide real-world project-based training to apply Python concepts and gain practical experience.
- Prepare students for various Python certifications.
- Develop problem-solving and critical thinking skills using Python.
- Provide career guidance and support to help students secure jobs in the Python industry.
Here are some points on why to learn Python course:
- Python is a versatile language that can be used in various domains such as web development, data science, artificial intelligence, machine learning, game development, and more.
- Python has a simple syntax and is easy to learn, making it an excellent language for beginners.
- Python is open-source, which means that it’s free to use and has a vast community of developers who contribute to its development, resulting in a wide range of libraries and modules.
- Python is widely used in the industry, with top companies such as Google, Amazon, and Facebook utilizing Python for various applications.
- Python offers a vast job market, with a high demand for Python developers across industries.
- Python is constantly evolving and adapting to new technologies and applications, making it a valuable skill to have in the ever-changing tech landscape.
The Python course is suitable for a wide range of individuals, including:
- Fresher’s
- Professionals
- Software developers
- Project Managers
- Software Testing Professionals
- Big data Professionals
- Aspirants
The pre-requisites for a Python course may vary depending on the level of the course, but some common pre-requisites include:
- Basic knowledge of programming concepts such as variables, data types, conditional statements, loops, and functions.
- Familiarity with object-oriented programming concepts such as classes, objects, and inheritance.
- Basic knowledge of database concepts and SQL.
- Familiarity with the command line interface and basic Linux commands.
- Familiarity with HTML, CSS, and JavaScript may be beneficial for web development-related Python courses.
However, some beginner-level Python courses may not require any prior programming experience or knowledge. It is always recommended to check the course description and requirements before enrolling in any Python course.
Sambodhi and Education Nest offer a wide range of courses for programming languages. Apart from PHP, some of the other popular courses include:
Python Programming Course: Python is a popular language for data science, artificial intelligence, and web development. This course provides hands-on experience with Python programming, data analysis, and machine learning.
Ruby on Rails Course: Ruby on Rails is a web application framework written in the Ruby programming language. This course covers the fundamentals of web development using Ruby on Rails and how to build a web application from scratch.
Java Programming Course: Java is a popular language used in enterprise web development and mobile application development. This course covers the basics of Java programming, including object-oriented programming, and provides hands-on experience building Java applications.
All of these courses offer live project-based training and are taught by experienced industry professionals.
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Python Training FAQs
If you miss an online Python Training class, it’s important to reach out to the instructor or the support team of the online training platform you are using. They may be able to provide you with a recording or transcript of the missed class, so that you can catch up on what you missed. Alternatively, some platforms offer on-demand access to class materials, so you can go back and review the content on your own time. It’s always a good idea to try and make up the missed material as soon as possible, so that you don’t fall behind in your learning.
If you have queries after completing an online Python Training course, Education Nest training platforms offer some form of post-course support. This may include access to a dedicated support team, a community forum where you can ask questions and connect with other learners, or even one-on-one sessions with an instructor or coach. If you have specific questions or concerns related to the course material, you can reach out to the instructor directly or use the support channels provided by the platform. It’s always a good idea to clarify any doubts or questions you may have, as this will help to solidify your understanding of the material and ensure that you can apply what you’ve learned in a real-world context.
Python is a high-level, interpreted programming language that was first released in 1991. It emphasizes code readability and simplicity, and has a large and active community of developers who have contributed a wide range of libraries and tools to the language. Python is widely used in a variety of industries for web development, scientific computing, data analysis, artificial intelligence, and more. It is known for its ease of use, versatility, and wide range of applications.
The timing of when you get access to learning content after signing up for an online Python Training course will depend on the specific training platform you are using. In most cases, you should receive access to the learning content immediately upon signing up, or shortly after your payment has been processed. Some platforms may require you to complete an enrolment process or set up an account before you can access the content. It’s always a good idea to check the specific details of the course or platform you are using, as the timing and process may vary. If you are experiencing any issues accessing the learning content, you should contact the support team of the training platform for assistance.
Once you enrol in Python Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills. The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge. Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your Programming skills and want the flexibility to learn at your own pace, consider enrolling in a Python Training course that offers lifetime access to the learning material.
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