Python Programming Certification Course

BY
Edureka

Become a certified Python professional by pursuing the Python Certification Training Course by Edureka.

Mode

Online

Duration

4 Weeks

Fees

₹ 15125 17795

Important Dates

28 Sep, 2024

Course Commencement Date

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekends

Course overview

Python Programming Certification Course is an opportunity for the learners to master Python programming concepts. This course is being offered by Edureka. Edureka is an online learning platform, that provides the students with an opportunity to complete their courses by way of live online courses. 

This course has been built by top industry experts, especially for keen learners who wish to master the Python programming language. They will be given a detailed understanding of the fundamentals of this programming language. This course is a blend of basic and advanced concepts of Python programming language. It covers concepts such as writing Python scripts, web scraping, sequence and file operations, and object-oriented concepts. 

After the Python Programming Certification Course  training participants will learn about many vital and widely used Python libraries such as NumPy, pandas, and Matplotlib, among others. They will be trained in Data Operations, testing codes, downloading programmatically, analyzing data, and implementing the techniques in order to deal with different types of data – categorical, encoding, ordinal, creating data visualization, using Python notebooks, and the technique of presenting data analysis step-by-step.

The highlights

  • Instructor-led live sessions
  • Course certification by Edureka 
  • Lifetime course access
  • Weekend classes
  • 24 x 7 Expert Support
  • Access Cloud Lab for 60 days

Program offerings

  • Assessments
  • Assignments
  • Community forums
  • Case study

Course and certificate fees

Fees information
₹ 15,125  ₹17,795

Fee details for Python Certification Training Course by Edureka

Particulars

Amount in INR

Course fees

Rs. 17,795*/-

EMI (no cost)Rs. 5,042/month

*Variable discounts available

certificate availability

Yes

certificate providing authority

Edureka

Who it is for

The Python Programming Certification Course by Edureka is ideal for

Eligibility criteria

Education

Candidates must have a basic knowledge of computer programming to pursue and enrol for this programme 

Certification Qualifying Details

Course certificate for Python Certification Training Course by Edureka will be awarded upon successful completion of the final course project.

What you will learn

Knowledge of python Knowledge of numpy

After the completion of Python Programming Certification Course syllabus by Edureka participants will have mastered the following:

  • Understand the basic concepts of Python
  • Learn the different types of sequence structures and the execution of sequence operations.
  • Grasp various object-oriented concepts such as abstraction, overloading,  and inheritance
  • Acknowledge the process of creating generic python scripts and extracting content using regex.
  • Expertise in data analysis using Pandas and NumPy
  • Learn data manipulation by using Pandas

The syllabus

Introduction to Python

Topics
  • Need for programming
  • Advantages of programming
  • Overview of python
  • Organizations using python
  • Python Applications in various domains
  • Variables
  • Operands and expressions
  • Conditional statements
  • Loops
  • Structural pattern matching

Introduction to Online Live Python Training

Hands-On
  • Creating the “Hello World” code
  • Numbers in Python
  • Demonstrating Conditional Statements
  • Demonstrating Loops

Sequences and File Operations

Topics
  • Accepting user input and eval function
  • Files input/output functions
  • Lists
  • Tuples
  • Strings manipulation
  • Sets and set operations
  • Python dictionary
Hands-On
  • File handling
  • Creating tuple, list
  • Creating dictionary
  • Working with sets
  • Working with strings

Functions and Object-oriented Programming

Topics
  • User-defined functions
  • Function parameters
  • Different types of arguments
  • Global variables
  • Global keyword
  • Lambda functions
  • Built-in functions
  • 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

Deep Dive – Functions and OOPs

Hands-On
  • Working with functions
  • Creating lambda functions
  • Using built-In functions
  • Implementing object-oriented concepts
  • Inheritance case study

Working with Modules and Handling Exceptions

Topics
  • 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
Hands-On
  • Working with packages and modules
  • Creating regular expressions
  • Handling errors and exceptions

Array Manipulation using NumPy

Topics
  • Basics 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 NumPy

Hands-On
  • Matrix Product and aggregate functions using Numpy
  • Array Creation and logic functions

Data Manipulation using pandas

Topics
  • 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
Hands-On
  • Functionality of series
  • The Functionality of data frame
  • Combining data from dataset
  • Data cleaning

Data Visualization using Matplotlib and Seaborn

Topics
  • 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
  • Heatmaps

Data Visualization using Matplotlib

Hands-On
  • Plotting different types of charts
  • Customizing visualizations using Matplotlib
  • Customizing visualizations and subplots

GUI Programming

Topics
  • Ipywidgets package
  • Numeric widgets
  • Boolean widgets
  • Selection widgets
  • String widgets
  • Date picker
  • Color picker
  • Container widgets
  • Creating a GUI application
Hands-On
  • Creating GUI Elements
  • Creating an application containing GUI elements

Developing Web Maps and Representing Information using Plots (Self-paced)

Topics
  • 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
Hands-On
  • Creating web map

Web Scraping and Computer Vision using OpenCV (Self-Paced)

Topics
  • Beautiful Soup library
  • Scrapy
  • Requests library
  • Scrap All hyperlinks from a webpage using Beautiful Soup and Requests
  • Plotting charts using Bokeh
  • Plotting scatterplots using Bokeh
  • Image editing using OpenCV
  • Face detection using OpenCV
  • Motion detection and capturing video
Hands-On
  • Face detection
  • Web scraping
  • Motion detection

Database Integration with Python (Self-Paced)

Topics
  • 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
Hands-on:
  • CRUD operations using Python MySql and MongoDB

Admission details


Filling the form

To seek admission for the Python Programming Certification Course classes candidates are requested to follow the given procedure:

Step 1: Visit the course website by clicking on the given URL https://www.edureka.co/python-programming-certification-training

Step 2: Click on enrol now option. 

Step 3: Provide the requested details and click on start learning.

Step 4: Candidates have to select the course batch according to their feasibility and proceed for payment.

Step 5: Candidates can select the appropriate payment method and make the payment for the course fees.

How it helps

The Python Programming Certification Course by Edureka is a platform for learners to enhance their programming skills. Through this course, they can master the python programming language. They will have a strong foundation in the programming language. They will be capable enough to manipulate and analyze data using powerful libraries. 

Online classes will make the learning process easier for working professionals. As python is becoming the most preferred language for Artificial Intelligence (AI), DevOps, Robotics, and Web Development, successful completion of the course will expand the career prospects and increase the earning potential of the participants. Course certificates given upon completion of the course can be added to the resume of the participants. It will make their resume and work profile more valuable.

Participants of this course Python Certification Training Course benefits can apply for higher profile jobs and increments at companies looking to hire Python professionals. Course offerings will ensure the retention and understanding of all the python concepts. Case studies will help the participants understand the practical aspect of this field. 

They will have theoretical as well as practical knowledge about the programming language. Their knowledge and skills will make them an asset to the company giving them an advantage over the other professionals in the industry.

FAQs

What if the participants miss a class?

If the participants miss a class then they can either see the recorded lecture of the class available in their LMS or they can attend the missed lecture through another batch.

How can I clear my doubts regarding the concepts?

Edureka has a support team in place for solving the doubts of the participants. Access to the Support Team is given for a lifetime and is available 24/7.

When is the course access given?

The LMS access is given instantly after enrolment and it is available for a lifetime. Access will be given to the complete set of previous class recordings, PDFs, PPTs and assignments.

Course access will be given after course completion?

Yes, participants are given access to the study material for a lifetime once they enrol for the course.

Is placement assistance given?

Many of the Edureka Learners have experienced change in their job profile (promotion), work location (onsite) and new job offers. Certification by Edureka is valued in the IT industry as it is proof of the thorough and practical learning participants have gone through and the real-life projects they have furnished.

Is a demo session available for the course?

Yes, sample class recordings are available for the participants before they enrol for the course.

How can the participants contact Edureka officials?

The participants can contact Edureka officials on 08040423751. They have experts available 24x7.

What is the community forum?

The community forum is available to all the participants. It is to facilitate learning through group interaction amongst the participants.

What are the system requirements for this course?

Participants pursuing this course are expected to have a system with an Intel i3 processor or above, a minimum of 3GB RAM (4GB or above) and an operating system: 32bit or 64 bits.

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