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PYTHON - Everything in PYTHON
This Python Training Certification includes 81 courses with 363+ hours of video tutorials and Lifetime Access. You will also get verifiable certificates when you complete each of the courses. This Python course has almost everything in Python - Programming, Game Development, Hacking, Data Science & Machine Learning, Ai - Everything included!
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What you get in this PYTHON - Everything in PYTHON?
363+ Hours
81 Courses
Mock Tests
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
About Python Course
| Course | No. of Hours | |
|---|---|---|
| Python for Beginners: 2023 | 3h 25m | |
| Python Intermediate Training: 2023 | 3h 26m | |
| Python Advanced Training: 2023 | 2h 14m | |
| Python Case Study - Create Chatbot | 1h 03m | |
| Python Case Study - Expense Manager App | 3h 2m | |
| Python Case Study - Instant Markup | 3h 28m | |
| Python Case Study - Cryptography | 5h 11m | |
| Python Case Study - Sentiment Analysis | 1h 06m | |
| Python Game Development - Beginners | 1h 53m | |
| Python Game Development - Intermediate | 2h 17m | |
| Python Game Development - Advanced | 2h 15m | |
| Python Game Development Case Study - Snake Game | 1h 44m | |
| Python Game Development Case Study - Flippy Flip Game | 2h 18m | |
| Python Hacking - Beginners | 5h 4m | |
| Python Hacking Course - Intermediate Level | 4h 17m | |
| Python Hacking - Advanced | 5h 09m | |
| Python Hacking Case Study - GUI App for Amusement Park | 57m | |
| Python Scripting Training | 2h 12m | |
| Python Scripting Case Study - To-do List Application | 1h 45m | |
| Python Scripting Case Study | 49m | |
| Python Scripting Case Study - Creating a Console Application | 46m | |
| Python GUI Training | 3h 11m | |
| Python GUI Case Study - Creating a Windows Application | 2h 21m | |
| Python GUI Case Study - Creating a Calculator | 1h 41m | |
| Python GUI Programming using Tkinter and Python | 4h 34m | |
| Matplotlib for Python Developers - Beginners | 4h 12m | |
| Matplotlib for Python Developers - Intermediate | 2h 52m | |
| Matplotlib for Python Developers - Advanced | 6h 37m | |
| Matplotlib Case Study - E-commerce Data Analysis | 2h 04m | |
| NumPy and Pandas Python | 5h 01m | |
| Analyzing the Quality of White Wines using NumPy Python | 1h 19m | |
| Pandas Python Case Study - Data Management for Retail Dataset | 3h 28m | |
| Data Analysis with Pandas and Python | 56m | |
| Pandas with Python Tutorial | 5h 47m | |
| Seaborn Python - Beginners | 2h 28m | |
| Seaborn Python - Intermediate | 1h 18m | |
| Seaborn Python - Advanced | 1h 56m | |
| Case Studies on Seaborn Python Basics | 1h 51m | |
| Seaborn Python Case Study - Data Visualization using Seaborn on Census Dataset | 2h 11m | |
| PySpark Python - Beginners | 2h 3m | |
| PySpark Python - Intermediate | 2h 05m | |
| PySpark Python - Advanced | 1h 14m | |
| Apache Spark - Beginners | 1h 5m | |
| Apache Spark - Advanced | 6h 14m | |
| Project on Apache Spark: Building an ETL Framework | 2h 25m | |
| Python Django | 8h 8m | |
| Python Django MySQL Case Study - Creating a Blog | 48m | |
| Jupyter-IPython Notebook Training - Beginners | 6h 05m | |
| Jupyter-IPython Notebook Training - Advanced | 7h 53m | |
| Python Pyramid - Beginners | 6h 04m | |
| Python Pyramid - Advanced | 6h 02m | |
| Linux System Administration with Python | 13h 9m | |
| Machine Learning with Python 2023 | 5h 15m | |
| Machine Learning using Python | 3h 26m | |
| Project on Machine Learning - Covid19 Mask Detector | 2h 05m | |
| Machine Learning Project - Auto Image Captioning for Social Media | 2h 23m | |
| Machine Learning Python Case Study - Develop Movie Recommendation Engine | 51m | |
| Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | |
| Machine Learning Python Case Study - Predictive Modeling | 8h 27m | |
| Machine Learning with SciKit-Learn in Python | 8h | |
| Data Science with Python | 4h 14m | |
| Statistics Essentials with Python | 3h 23m | |
| Advanced Python for Data analysis | 6h 28m | |
| Python Data Science Case Study - Predicting Survival of Titanic Passengers | 2h 6m | |
| Time Series Analysis in Python - Sales Forecasting | 2h 12m | |
| Linear Regression in Python | 2h 28m | |
| AI Artificial Intelligence with Python | 6h 15m | |
| Artificial Intelligence with Python - Beginner Level | 2h 49m | |
| Artificial Intelligence with Python - Intermediate Level | 4h 36m | |
| Artificial Intelligence and Machine Learning Training Course | 12h 15m | |
| Face Detection Using OpenCV and Python | 1h 52m | |
| Video Analytics using OpenCV and Python Shells | 2h 13m | |
| Kubernetes Training | 3h 3m | |
| Kubernetes Case Study - Hosting a Web Application as a Container | 3h 22m | |
| Kubernetes Case Study - Deploying a Custom Docker Image | 1h 22m | |
| Kubernetes - Beginners to Pro | 2h 42m | |
| PyMongo - Beginners | 2h 33m | |
| PyMongo - Advanced | 2h 08m | |
| PyMongo Case Study - Restaurant Management System | 2h 11m | |
| PyMongo Case Study - Aggregating Customer Data of a Bank | 2h 31m |
| Course Name | Online Python Course Bundle |
| Deal | You get access to both the 81 courses, Projects. You do not need to purchase each course separately. |
| Hours | 363+ Video Hours |
| Core Coverage | Python Fundamentals, Linux System Administration with Python, Cryptography, Django Unchained with Python, Python GUI Programming using Tkinter, Rest API with Flask and Python, Python Pyramid Jupyter-IPython Notebook, Violent Python. |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about Python. |
| Pre-Requisites | Knowledge of Basics in Any Programming Language would be useful |
| What do you get? | Certificate of Completion for each of the courses |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
| System Requirement | 2 GB or above RAM, Open source Python |
| Other Requirement | Speaker / Headphone |
Online Python Course Curriculum
To enable great learning experience to all the learners, the course called Python certification training has been designed in such a way that it contains the complete list of courses and all the chapters listed in the form of course curriculum for the Python training with the complete course description of every course and contents in the format of separate chapters. A minimum of 363+ hours is required to complete the Python certification. The below table gives you a complete overview of all the courses and the list of chapters covered in this course content –
Goals
The goal of this training to make you learn all the concepts in python and how to debug and test in python by making you work on the projects which are included in the training.
Objectives
The objective of the training is to cover all the topics related to Python. The some of the concepts which are covered under this training are python fundamentals, Linux system administration with python, Django unchained with python, Advanced Python for IoT & IoT based Data analysis, Cryptography, Matplotlib for Python Developers, Seaborn, PySpark, Data Science and Artificial Intelligence with Python and many other topics are included in this training.
Course Highlights
The topics included in this course covers the basic level.
- It starts with the python fundamentals, dictionaries, oops concepts like abstraction and encapsulation, libraries, Advanced GUI, database, Networking, web, testing and extending python.
- Linux System Administration using python – In this, you will learn the Introduction to Linux, Ipython, Command line and many other topics under this.
- Django Unchained with python – In this section you come to know about The MVC Architectural platform, MVT platforms, creating models and many other things.
- Python GUI Programming using Tkinter and Python – How to create the fast GUI applications, basic transformation and topics related to it are covered.
- Advanced Python for IoT & IoT based Data analysis – It includes Using in-built standard modules in python, Networking using sockets, Using APIs for twitter and Emails, Data science modules for iot, Multi-threading, and Exception handling.
- Jupyter-IPython Notebook Training covers the concepts from basic level to the advanced level which includes creating your python kernel, Automation, and Interactive Widgets.
- Violent Python, Cryptography using Python and Matplotlib for Python Developers from basic to advance.
- Pandas with Python Tutorial, NumPy, and Pandas, Seaborn, PySpark are covered from basic, intermediate to advance levels.
- Machine Learning, Data Science and Artificial Intelligence with Python, Video Analytics Using OpenCV and Python Shells, Statistics for Data Science using Python and Financial Analytics with Python.
All the topics which are mentioned are explained in detail to give a good knowledge of these concepts.
Project Highlights
This training includes many projects to help you to get good hands-on experience in the python language. The undercover projects are:
- Project on Python – Instant Markup – You will learn how to create graphics in python which helps you to visualize the data.
- Project on Python Django MySQL – Creating a Blog – you will learn how to create an app and template in Django.
- Python Pyramid with Projects – You can create and build web apps by using python.
- Project on Pandas – Data Management for Retail Dataset.
- Projects on Machine Learning – Predictive Modeling with Python – You will come to know about the data preprocessing, linear regression, logistic regression, and predictions.
- Project on Tensorflow – Implementing Linear Model with Python – This project will help you to build a neural network with Tensorflow.
- Project – Data Analytics with Data Exploration Case Study.
- Project on ML – Random Forest Algorithm- You will learn how the Random Forest algorithm will work by doing the project from the extraction of data to the prediction and validating the performance of the model.
- Project on Python – Sentiment Analysis.
- Project – Linear Regression in Python.
- Project on Python Data Science – Predicting the Survival of Passenger in Titanic.
- Machine Learning with Python Project – Predict Diabetes on Diagnostic Measures.
These are some of the projects which are included in this training.
Certificate of Completion
What is Python?
Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc.
Python has several types of data structures like Lists, Dictionary, Tuples, Strings, Numbers, etc. It has Functions, Modules, Exceptions, File I/O. Python has several libraries for different functionalities, Database and Networking features, Advanced GUI programming, Testing. It has also automatic memory management and garbage collection.
Industry Growth Trend
The rapid application development market size is expected to grow from USD 7.8 billion in 2018 to USD 46.2 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 42.9% during the forecast period.[Source - MarketsandMarkets]
Average Salary
Average Salary$117,822 per year
The average salary for a Python Developer is $117,822 per year in the United States.
[Source - Indeed]
[Source - Indeed]
What tangible skills will I learn from this Python course?
- The set of skills which can be acquired upon completion of this Python course are Python, Linux, Design Patterns, Cryptography, Django, Html, CSS, Tkinter, Rest API, Flask, Python Pyramid, Jupyter – Ipython Notebook, matplotlib plotting, data analysis, etc.
- Python certification has many other excellent courses within it and chapters under each course which was covered in the course curriculum are very useful in obtaining the knowledge on several advanced features of Python such as Libraries, GUI Programming, Advanced Python programming.
- There are also some other skills which can be added upon completion of this Pythion courses are such as Violent Python, Python 3, Installation Process, Lists, Tuples, Interpreters, Dictionaries, Conditions and Loops, Abstraction, Exceptions and Iterations, Magic Methods, Polymorphism, Encapsulations, Iterators, Libraries, GUI, Database & Networking, Testing, Extending Python and Packaging Programs, etc.
- The Python training also has a set of tangible skills which are loops, variables, conditions and statements, complex programming, scripting for automation jobs and its advanced concepts, etc.
- This Python training is very useful for the prospective Python Programmers, Python Developers, Application Developers in the larger organizations to develop web-based or standalone based applications using Python programming features to deliver a large number of customers.
Pre-requisites
- Willingness to pursue a career as Python Developer or Software Developer or Programmer: The Python certification course has a set of prerequisites which are required to be fulfilled to complete the course contents of this course are such as basics of Python such as loops, variables, conditions and statements, and its advanced concepts and functionalities are recommended to easily learn contents of this Python courses. This course is easier to learn if one has intermediate or basic knowledge on any scripting or programming language or computer basics knowledge, or core concepts of any computer machine knowledge, and also any hands-on experience is an added advantage in learning this Python courses. The relative core components of the Python are also an added advantage to complete this course.
- Knowledge in any Programming or Scripting Language or General-Purpose programming Language: Any relevant experience or basic knowledge in the areas of Scripting or Shell Scripting or general-purpose programming languages or its related computer languages concepts such as Assembly language, or high-level programming language will be helping a lot in learning Python. This will also be an added advantage of using the Python basics and its advanced concepts. It will be of greater benefit in further learning the concepts of this Python course more easily on having basics of any programming.
Target Audience
- Students of Engineering in Computers or CS: Any learner or a student of engineering in computer science or degree in computer engineering and have good knowledge in any computer programming can choose this course. This Python course is also an added advantage to the academics or career or of professional benefits to the learners and also to obtain more knowledge on several advanced features of Python from this course concepts. Python has several features for beginners to an advanced level based on the requirement. This course is well recommended to any student or Software professional or whoever is interested. This course has been designed to advance the career of the learners as a Software Developer or Programmer or Python Developer.
- Python Developer or Programmer or Perl Developer: Through this Python, training learners will be able to learn multiple numbers of features related to Python from the contents of this course which will further enhance in getting the learners career advanced such as a Data Analyst Python Developer, Software Developer, Software Development Engineer, System Engineer, Perl Developer, Member Technical Staff, Project Engineer, Java Trainer, Python Automation Engineer, AWS Developer, Blockchain Developer, Business Analyst, Data Scientist, Python Architect, Jenkins Developer, Full Stack Developer, Backend Developer, Django Developer, Integration Engineer, etc. This Python course can be opted without any single thought because of the good career opportunities in the area of web application development.
- Bachelors or Masters of Computers in Engineering/Science: Any Bachelor or Master in Computers Science Engineering can choose this EduCBA Python course to obtain a Python Developer or Perl Programmer or Web Engineer or Any back end Engineer job in any Web application or standalone application development related or developer or programmer roles in the larger organizations or Product or Startup companies.
FAQ’s- General Questions
Why should I choose this Python course?
Any Python Developer or Perl Programmer or Web Engineer working on the apps development or back-end web apps development and are also interested and willing to learn Python and its core concepts & advanced concepts should choose this Python courses.
I don’t have a background in computer science or web development technologies or technical engineering, can this Python training still be considered a good option?
YES, this course can still be considered as an option without any knowledge of computer or Python concepts as this course does not have any pre-requisites of Python basics or Core knowledge in computer programming. Any freshers who are interested in learning Python programming and its core concepts can opt for this course directly without any previous knowledge. The concepts in this course can be easily learned because of the comprehensive content and detailed explanation of the multiple complex programming features of Python.
Would this course add value to my profession?
Yes. this course would add some value to the learners’ profile and also verifiable certifications including different valuable concepts and frameworks of Python.
Is this a quick-fix to clear interview or do I still need to practice continuously while learning this Python certification?
Yes, this is a quick-fix without any previous knowledge or experience in computers or any programming language but any other programming or scripting language knowledge is highly benefited and added advantage for this course. This Programming Languages course needs a minimum of 363+ hours to be spent to complete the Python courses.
Sample Preview
Career Benefits
- This Python course is a package of 81 online courses, Projects for the Python programming and its advanced concepts that provides deep knowledge on different concepts and frameworks being used with Python and its core topics with hands-on content.
- Any Python Developer or Perl Programmer can choose this Python certification to master the several functional and object-oriented programming features of Python and its advanced concepts to get their career elevated to the next levels such as Backend Developer, Django Developer, Integration Engineer, Application Developer or Python programmer, etc.
- There are also several other benefits in the career upon choosing this Python course are such as the certification which can be part of your profile as a verifiable qualification for all the learners.
Course Testimonials
Python Fundamentals
It allowed me to understand Python easily. Since I had some programming background. It allowed me to understand all the basics of python. And was teaching using Python3 and had compared between Python2 and Python3. I suggested those without any background of IT knowledge to watch this video as it was very beginner.
Linked
Ung Jun Xiang
Good!
Very good and very useful for a beginner! I learned a lot.
Very useful and I recommend to those who are interested in Python programming and its world. I’ve been using Python for some time, but I’ve also learned something new about this course.
Ferenc Csonka
Python Fundamentals
Great course for beginners. It goes through basic staff in python which will enlighten you on python. There were practical examples used throughout the course which helps a lot in understanding python basics. The course is also useful in laying out a better foundation in understanding python. Awesome course indeed.
Ngonidzashe Knight Furusa
Very Extensive
An all-around course on Python teaches you the full possibilities of what you can do with the language. I wouldn’t recommend it to people starting to code but is an advantage for the ones who want to learn Python, for whatever application it has, and in this case, there are a lot of applications. Personal fav.
Linked
Tiago Gamboa Cravo dos Santos Lucas
Basics of Python Programming
This Python training is for beginners like me. It is very well presented and I easily understood the topics. The session flow made sense and made it easy to follow the training. From start to finish it was presented at a level where I could understand the topics, which ensured I now have an understanding of Python Programming. Thank you for providing the foundation for Python Programming. I am sure this will assist me in further studies on programming with Python.
Linked
Danie Claassen
