Python Programming Certification Course
Introduction
This is a beginner-friendly, self-paced Python Programming Certification Course. It starts with fundamental concepts of Python programming and then switches to some advanced concepts that are a must for becoming an expert in this programming language. This course covers all the sequences and file operations. The students will also learn important parts of programming such as conditional statements, functions, loops, OOPs, modules, handling exceptions, libraries like NumPy, Pandas, and Matplotlib, GUI programming, web maps, and data operations.
What Will You Gain from This Course?
Following the completion of this course, the participants of the course will be able to:
- Develop a dynamic and interactive web application with Python.
- Integrate RESTful APIs in any web application for better functionality and communication.
- Learn about the best practices for working on complex projects with the team.
- Resolve real-life issues in the world of web devolvement and offer solutions with Python.
- Get in-depth knowledge about managing databases and different operations within projects.
- Complete solo projects with both Python programming and web framework.
- Develop a scalable and robust application to handle a lot of web traffic.
- Get familiar with frameworks, Models, AJAX, jQuery, and more.
- Develop Python projects with coding, designing, and development.
- Handle data in multiple formats, including XML and JSON formats.
Skills Acquired:
- Data Manipulation with Pandas and Numpy
- Data Visualization using Matplotlib and Seaborn
- GUI Programming with Tkinter
- Create Maps with Folium
- Web Scraping and OpenCV
- Python Database Operations
Who Can Benefit from This Course?
This course is designed for:
- Web developers looking for ways to expand their skills in Python.
- Junior web developers trying to excel in their careers by specializing in advanced language.
- Software engineer interested in improving their development and coding skills with the use of Python.
- Freelancers looking for ways to expand their earnings by improving their skill set in Python development.
Course Content
11 Modules – Certificate of Completion
Introduction to Python
This is the first module of the course. It offers an overview of Python, its pros, and some practical applications. In addition, the students will get a brief introduction to variables, operands, expressions, conditional statements, loops, and structural pattern matching. For hands-on experience, the course also includes some projects and assignments that will help the students practice tasks like adding numbers in Python, creating the “hello world” code, demonstrating conditional statements, and demonstrating loops.
Sequences and File Operations
This is the second module of the course. It takes the students' understanding to another level by exploring topics like accepting user input, eval functions, file input/output functions, lists, tuples, string manipulation, Python dictionaries, sets, and set operations. For hands-on experience, this module also includes assignments and tasks where students practice all the concepts they have learned. With these projects, the learner will get to use file handling, creating a tuple or list, creating their dictionary handle sets, and working with strings.
Functions and Object-oriented Programming
The third module of this course is all about functions and object-oriented programming. Participants will explore some of the most important topics, including user-defined functions, function parameters, types of arguments, global variables, global keywords, lambda functions, built-in functions, and object-oriented concepts. Apart from these concepts, the students will learn and practice public, protected, and private attributes, class variables, instance variables, constructors and destructors, inheritance, types of inheritance, method resolution order, overloading and overriding, and getter and setter methods.
Working with Modules and Handling Exceptions
The fourth module of this course covers handling expectations and working with modules. The participants will explore some of the advanced topics that are very important for Python development. These concepts include standard libraries, packages and import statements, the reload function, creating a module, important modules in Python, SYS module, OS module, math module, date-time module, random module, JSON module, regular expression, and exception handling.
Array Manipulation using NumPy
The fifth module of this course covers array manipulation using NumPy. The students will explore NumPy and its use with array manipulation. Some of the important topics covered in this module include the basics of data analysis, NumPy—arrays, array operations, indexing, slicing, iterating, NumPy array attributes, matrix product, NumPy functions, array manipulation, and file handling using NumPy.
After a basic introduction to these concepts, the students will also practice them with course projects and assignments. These assignments include practicing matrix products, aggregate functions using NumPy, array creation logic functions, etc.
Data Manipulation using Pandas
The sixth module of this course covers data manipulation, a very important skill in Python. The module starts with a basic overview of Panda and the different data structure options in Panda, as well as series and data frames. The students will then understand the methods of importing and exporting files in Python, the basic functionalities of a data object, merging data objects, pivoting a data frame, concatenating data objects, types of joins on data objects, data cleaning using Pandas, and exploring datasets.
Data Visualization using Matplotlib and Seaborn
The seventh module of this course covers data visualization, which is a very important skill for Python developers. For data visualization, the developer will get to use Matplotlib and Seaborn. It starts by explaining the idea of data visualization, the role of Matplotlib library, Seaborn, line plots, multiline plots, bar plots, and histograms. For the overall visualization of data for better understanding, the students will get to know about the use of pie charts, scatter plots, box plots, ways to save charts, customizing visualizations, saving plots, grids, subplots, and heatmaps.
GUI Programming
The eighth module of this course helps the students understand GUI Programming. The students will get to know about some important concepts, including the Ipywidgets package, numeric widgets, Boolean widgets, selection widgets, string widgets, date pickers, color pickers, container widgets, and creating a GUI application.
Developing Web Maps and Representing Information using Plots (Self-paced)
The ninth module of this course covers important topics such as the use of the Folium library, the use of the Pandas library, the flow chart of web map application, and developing web maps using Folium as well as Pandas. The module also includes a section explaining how to read and represent information from the dataset using plots.
Web Scraping and Computer Vision using OpenCV (Self-Paced)
This is the tenth module of this course. It includes some of the most important yet practical topics like Beautiful Soup library, Scrapy, Requests library, and Scrap All hyperlinks from a webpage using Beautiful Soup and Requests. Apart from these topics, the student will also get to explore plotting charts using Bokeh, plotting scatterplots using Bokeh, image editing using OpenCV, face detection using OpenCV, motion detection, and video capturing.
Database Integration with Python (Self-Paced)
The eleventh and last module of this course offers an introduction to database integration with Python. The module starts by covering the fundamentals of database management. Then, it explains some other concepts, including Python MySql, creating a database, creating a table, and inserting it into the table. It also covers some advanced topics like query selection, Where clause, OrderBy clause, delete query, drop table, update query, limit clause join, self-join, and MongoDB (Unstructured). Since this is the last module of the course, the students will also get a brief introduction to all the important queries with Python, i.e., Insert_one query, Insert_many query, Update_one query, Update_many query, Create_index query, Drop_index query, Limit query, etc.
Description
Python Programming Certification Course is one of the most comprehensive Python courses that can help any beginner become a master in Python. This course consists of eleven modules. All the modules contain video lectures, demos, projects, and assignments. The last three modules are self-paced, offering the students an opportunity to enjoy flexibility while learning.
This certification course is designed to help students look beyond the theories and concepts of Python. Instead, this training program allows the students to practice things on the go, come up with creative solutions for real-life challenges with Python programming, and recreate solutions with Python. This is a foundational course that is ideal for beginners as well as seasoned software developers.
Meet the Instructor
Edureka is considered one of the best tech learning platforms. The platform is famous for offering multiple online courses on tech and data science by the best names in the industry. Edureka aims to go beyond theory-based learning by offering a good mix of practical and theory-based learning. With Edureka's vast library of courses on tech programming languages, data science, cloud computing, and DevOps, students from all backgrounds can step into tech.