Python Programming Certification Training Course in Gurgaon

Goal: Give a brief idea of what Python is and touch on the basics.

Learning Objectives: At the end of this Module, you should be able to:
• Define Python
• Understand the need for Programming
• Know why to choose Python over other languages
• Setup Python environment
• Understand Various Python concepts – Variables, Data Types Operators, Conditional Statements and Loops
• Illustrate String formatting
• Understand Command Line Parameters and Flow control

Topics:
• Overview of Python
• Companies using Python
• Other applications in which Python is used
• Discuss Python Scripts on UNIX/Windows
• Variables
• Operands and Expressions
• Conditional Statements
• Loops
• Command Line Arguments
• Writing to the screen

Hands-on/Demo:
• Creating “Hello World” code
• Variables
• Demonstrating Conditional Statements
• Demonstrating Loops

Goal: Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files.

Learning Objectives: At the end of this Module, you should be able to:
• Understand Operations performed on Files
• Learn what Sequences are
• Execute Sequence Operations
• Understand Types of Sequences in Python: Lists, Tuples, Strings, Sets, Dictionaries

Topics:
• Python files I/O Functions
• Lists and related operations
• Tuples and related operations
• Strings and related operations
• Sets and related operations
• Dictionaries and related operations

Hands-on/Demo:
• Tuple – properties, related operations, compared with a list
• List – properties, related operations
• Dictionary – properties, related operations
• Set – properties, related operations

Goal: In this Module, you will learn how to create user-defined functions and different Object Oriented Concepts like Inheritance, Polymorphism, Overloading etc.

Learning Objectives: At the end of this Module, you should be able to:
• Define and call Functions
• Understand why the return statement is used
• Understand and execute Object-Oriented Concepts

Topics:
• Functions
• Function Parameters
• Global variables
• Variable scope and Returning Values
• Lambda Functions
• Object-Oriented Concepts

Hands-on/Demo:
• Functions – syntax, arguments, keyword arguments, return values
• Lambda – features, syntax, options, compared with the functions

Goal: In this Module, you will learn how to create generic python scripts, how to address errors/exceptions in code and finally how to extract/filter content using regex.

Learning Objectives: At the end of this Module, you should be able to:
• Use Standard Libraries
• Use Modules
• Understand Exception Handling
• Create User Defined Exceptions

Topics:
• Standard Libraries
• Modules Used in Python (OS, Sys, Date and Time etc.)
• The Import statements
• Module search path
• Package installation ways
• Errors and Exception Handling
• Handling multiple exceptions

Hands-on/Demo:
• Errors and exceptions – types of issues, remediation
• Packages and module – modules, import options, sys path

Goal: This Module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.

Learning Objectives: At the end of this Module, you should be able to:
• Create arrays using NumPy
• Use NumPy to perform mathematical operations on arrays
• Read and write data from text/CSV files into arrays and vice-versa
• Understand Pandas and employ it for data manipulation
• Understand and use the data structures available in Pandas
• Read and write data between files and programs

Topics:
• NumPy – arrays
• Operations on arrays
• Indexing slicing and iterating
• Reading and writing arrays on files
• Pandas – data structures & index operations
• Reading and Writing data from Excel/CSV formats into Pandas

Hands-on/Demo:
• NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
• Pandas library- Installation, creating series and data frames, Importing and exporting data

Goal: In this Module, you will learn in detail about data visualization.

Learning Objectives: At the end of this Module, you should be able to:
• Create simple plots like scatter plot, histogram, bar graph, pie chart using Matplotlib
• Add different styles to the plot
• Use the different forms of plots available in Matplotlib

Topics:
• matplotlib library
• Grids, axes, plots
• Markers, colours, fonts and styling
• Types of plots – bar graphs, pie charts, histograms
• Contour plots

Hands-on/Demo:
• Matplotlib – Installation, Using Scatterplot, histogram, bar graph, pie chart to show information, Styling of Plot

Goal: Through this Module, you will understand in detail about Data Manipulation.

Learning Objectives: At the end of this Module, you should be able to:
• Perform function manipulations on Data objects
• Perform Concatenation, Merging and Joining on DataFrames
• Iterate through DataFrames
• Explore Datasets and extract insights from it

Topics:
• Basic Functionalities of a data object
• Merging of Data objects
• Concatenation of data objects
• Types of Joins on data objects
• Exploring a Dataset
• Analyzing a dataset

Hands-on/Demo:
• Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

Goal: Through this Module, you will understand in detail about Data Manipulation.

Learning Objectives: At the end of this Module, you should be able to:
• Perform function manipulations on Data objects
• Perform Concatenation, Merging and Joining on DataFrames
• Iterate through DataFrames
• Explore Datasets and extract insights from it

Topics:
• Basic Functionalities of a data object
• Merging of Data objects
• Concatenation of data objects
• Types of Joins on data objects
• Exploring a Dataset
• Analyzing a dataset

Hands-on/Demo:
• Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

This module is a combination of Live Instructor-Led Training and Self-paced learning.

Goal: In this module, you will learn GUI programming using ipywidgets package.

Learning Objectives: After completing this module, you should be able to:
• Learn ipywidgets package
• Understand different widgets like Numeric Widgets, Boolean Widgets, Selection Widgets, String Widgets, Date Picker, Color Picker and Container Widgets
• Create an application using ipywidgets package

Topics:
• Ipywidgets package
• Numeric Widgets
• Boolean Widgets
• Selection Widgets
• String Widgets
• Date Picker
• Color Picker
• Container Widgets
• Creating a GUI Application

Hands-on/Demo:
• Create GUI

Self-paced Concept: Network Programming and Multithreading

Goal: In this module, you will learn how to connect your server with MySQL DB. In addition, learn about Socket programming.

Learning Objectives: After completing this module, you should be able to:
• Understand the concept of Database
• Access MySQL DB
• Create socket for sending short messages
• Learn Multithreading concepts

Topics:
• MySQL DB access
• Network programming
• Multithreading

Hands-on/Demo:
• Database Creation
• CRUD Operations
• Network Creation
• Multithreading

This module is Self Paced

Goal: Throughout this Module, you will be designing Python Applications.

Learning Objectives: At the end of this Module, you should be able to:
• Design a Web Map using Folium and Pandas for displaying Volcanoes in USA and Population in different countries in a Single map Represent information from Dataset with the help of Plots

Topics:
• Use of Folium Library
• Use of Pandas Library
• Flowchart of Web Map application
• Developing Web Map using Folium and Pandas
• Reading information from Dataset and represent it using Plots

This module is Self Paced

Goal: Throughout this Module, you will be designing Python Applications.

Learning Objectives: At the end of this Module, you should be able to:
• Perform Web Scraping using Python
• Visualise Data on the browser using Bokeh
• Use OpenCV to create a motion detection software

Topics:
• Beautiful Soup Library
• Requests Library
• Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
• Plotting charts using Bokeh
• Plotting scatterplots using Bokeh
• Image Editing using OpenCV
• Face detection using OpenCV
• Motion Detection and Capturing Video

This Python Programming Certification Course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations, object-oriented concepts & web scraping. On this journey, you will go through some of the important and widely used Python libraries like pandas, numpy, matplotlib, etc.

After doing this course, you will be able to:

• Write python coding.
• Can perform various File Handling Operations
• Learn techniques to deal with different types of data – using various tools like Lists, Sets, and Tuple & Dictionary.
• Learn Data Base Connectivity with Python.
• Exception Handling Techniques.

The Python Programming Certification Course is a good fit for the below professionals:
• Programmers, Developers, Technical Leads, Architects & fresher.
• Persons who are in Financial Sectors and dealing with lot of data analytics on day to day basis.
• Since Python is used for Networking & Automation purposes so persons from Telecommunication Sectors also can take the benefit of this course.
• Business Analysts
• Project Managers
• Business Intelligence Managers

There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.

Yes, of course! You can learn python without having any prior programming language. In fact, python is known to be best suited for beginners and it is relatively easy to learn. You can learn basic programming paradigms from ITS. Many professionals from different background already have successfully completed this course from us.

At ITS ,Gurgaon, there are different programs for Python course however the basic course needs 32 Hours ( 8 Hours per day means 4 full day classes) to learn Python Basic course. Further for Python with Data Analytics or Automation another 2-3 days are required. However we also recommend constant practice for another few days so that a new learner also can become expert on those topics.

Yes. The examination fee is included in the course fee and also Certificate will be issued on behalf of ITS. Since there is no concept of Vendor Certification so online exams will not be applicable in this course.

The answer is Yes. Because Python is today’s demand now in almost all IT organizations. Further we shall recommend a candidate to follow the Job updates in various Job portals to understand the trends. Another advantage is that since we deal with Corporate Training so our syllabus is also made accordingly so that it can suit the organization in the best possible way.

Yes, Python is easy to learn because it is very readable. A learner will not have to waste a lot of time memorising the difficult syntax which is present in other programming languages. Instead, the learner will be able to focus on developing programming only.

The main use of Python language is for developing GUI applications, websites and web applications. Because Python is a high level programming language, it allows the programmer to focus on core functionality of the application by taking care of common programming tasks. It is also a great language for backend web development, data analysis, artificial intelligence and scientific applications. Besides this Python can very well work with Linux or other OS in which you can scripts to automate routing or similar other tasks.