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

Topics:

• Overview of Python
• The 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:

• Creating “Hello World” code
• Variables
• Demonstrating Conditional Statements
• Demonstrating Loops

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

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:

• Tuple – properties, related operations, compared with list
• List – properties, related operations
• Dictionary – properties, related operations
• Set – properties, related operations

Learning Objective: 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.

Topics:

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

• Functions – syntax, arguments, keyword arguments, return values
• Lambda – features, syntax, options, compared with the functions
• Sorting – sequences, dictionaries, limitations of sorting
• Errors and exceptions – types of issues, remediation
• Packages and module – modules, import options, sys path

Learning Objective: 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.

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:

• NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
• Pandas library- Installation, creating series and dataframes, Importing and exporting data

Learning Objective: In this module, you will learn in detail about data visualization

Topics:

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

Hands-On:

• Matplotlib – Installation, Using Scatterplot, histogram,bar graph, pie chart to show information, Styling of Plot

This course focuses on Introduction to Programming and Scripting, Data Handling, Object-oriented Programming, Exception Handling, Collections and different networking concepts.

You will learn the importance of Python in real time environment and will be able to develop applications based on Object-oriented Programming concept. At the end of this course, you will be able to develop networking applications with suitable GUI.

After completing this course, you will be able to:

• Know the concepts related to Python as a programming language
• Comprehend the Scripting concepts
• Understand the importance of Python in real time environment
• Understand data types, operators, decision making statements and loops
• Create and execute functions and modules (Boto3)
• Create networking application with proper GUI
• Develop applications based on Object Oriented Programming

The following professionals can go for this Python Scripting course:

• Programmers, Developers, Technical Leads, Architects
• Business Analysts
• Data Scientists, Data Analysts

Basic understanding of Computer Programming languages and basic concepts related to Data analysis.

The system requirement for Python course is a system with an Intel i3 processor or above, minimum 3GB RAM (4GB recommended) and an operating system can be of 32bit or 64 bit.

You will do your Assignments/Case Studies using PyCharm IDE. For any doubt, the 24*7 support team will promptly assist you.

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the “create your resume” option.

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

All the instructors at CertAdda are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by CertAdda for providing an awesome learning experience to the participants.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24×7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.