Prepare For Python Certification Training Exam

The Python Course covers both basic and advanced concepts of Python, such as writing Python scripts, sequence and file operations, object-oriented concepts, and web scraping. During this online Python Training, you will learn many essential and widely used Python libraries such as Pandas, NumPy, Matplotlib, among others.

In this online Python training course, you will learn Python, which is a premier, flexible, and powerful open-source language. Python is easy to learn, easy to use and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as Finance, Oil and Gas, Physics, Signal Processing, etc, which has, in turn, increased the demand for Python certification training. Today, it is the most preferred language for Artificial Intelligence (AI), Robotics, Web Development, and DevOps.

Upon completing this Python Online course, you will be able to:

• Write Python scripts for software development
• Create charts and plots for interactive data visualizations
• Use data manipulation techniques for data analysis
• Perform data extraction from a website
• Use GUI widgets to enhance the user interface of your application
• Integrate databases with Python using Python MySQL and MongoDB

There are no specific prerequisites for taking up the Python Training Course Online. However, a basic understanding of Computer Programming terminologies is beneficial.

Here is what it takes to install Python:

• A system with an Intel i3 processor or above
• A minimum of 3GB RAM (4GB or above recommended for faster processing)
• Operating system: 32 bit or 64 bit

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

 Hands-on:

• Creating the “hello world” code
• Numbers in python
• Demonstrating conditional statements
• Demonstrating loops

 Skills You will Learn:

• Python variables
• Using operands and expression
• Structural pattern matching

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

 Skills You will Learn:

• Performing file operations
• Using lists, tuples, and dictionary
• String manipulation

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

 Hands-on:

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

 Skills You will Learn:

• User-defined functions
• Lambda functions
• Object-oriented programming

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

 Skills You will Learn:

• Modules in python
• Regex
• Exception handling

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

 Hands-on:

• Matrix Product and aggregate functions using Numpy
• Array Creation and logic functions

 Skills You will Learn:

• Array manipulation using NumPy
• File operations with NumPy

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

 Skills You will Learn:

• Manipulating data with Pandas
• Cleaning data with Pandas
• Performing dataFrame operations

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

 Hands-on:

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

 Skills You will Learn:

• Visualizing data with Matplotlib
• Visualizing data with Seaborn
• Customizing visualizations

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

 Skills You will Learn:

• Working with various widgets
• Creating GUI for an application

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

 Skills You will Learn:

• Creating maps using Folium and Pandas

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

 Skills You will Learn:

• Web Scraping
• Using OpenCV

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

 Skills You will Learn:

• Database management systems
• Database Integration with Python
• Working of database applications

• World-Class Instructors
• Expert-Led Mentoring Sessions
• Instant doubt clearing

• Course Access Never Expires
• Free Access to Future Updates
• Unlimited Access to Course Content

• One-On-One Learning Assistance
• Help Desk Support
• Resolve Doubts in Real-time

• Industry-Relevant Projects
• Course Demo Dataset & Files
• Quizzes & Assignments

• Sky Tech Academy's Training Certificate
• Graded Performance Certificate
• Certificate of Completion

• Preconfigured Lab Environment
• Infrastructure with Tools and Software
• Single Sign-On