Certification Course in Core Python
- Get Trained by Trainers from ISB, IIT & IIM
- 40 Hours of Intensive Online Sessions
- 60+ Hours of Practical Assignments
- Industry Placement Training
- Job Placement Assistance
4189 Learners
Academic Partners & International Accreditations
Used by the top 25 unicorn companies in the US, Python is among the top programming languages that have governed the world of engineers, programmers, and developers. It is an interactive, dynamic, and versatile language that supports structured, object-oriented, and functional programming which also contributes to one of the major reasons for its popularity. It is considered a purely production-based language used for first-class projects by enterprises and enjoys an epic community of developers. The giant organizations using Python include NASA, Google, etc. who use it for varied applications. Level up your Python skills to the core with the’ Core Python’ training from 360DigiTMG and prepare for a bright future.
Core Python Course Overview
Python is among the most leveraged and favoured programming languages used by Data Scientists worldwide. Master the fundamentals of this demanding language and get hands-on practical experience with the functional applications of Python. Learn Python Data Structures, Dictionaries & Sets. Explore various Python Packages for analysing data and dive into advanced theoretical concepts like Multi-Threading, Exception Handling, Writing Scripts, Sequence, and File operations in Python. In this course acquire all the grounding in the key concepts of Python and understand the fundamentals of Python programming as well as knowledge of object-oriented programming in Python. This course focuses to provide a thorough understanding of Python as a programming language which is also a highly paid skill in the tech arena. So, join the ‘Core Python’ course to become an expert in Python and avail the highest number of job opportunities in this field.
What is Python?
It is a general-purpose language that is easier to learn and approach making it suitable for several tasks from specific fields to general. It is a highly flexible and extensible language that caters to the needs of web developers, engineers, analysts and is backed by an active community of programmers. It is great for scripting and comes with numerous testing frameworks and plenty for Data Visualization.
Learning Outcomes of Core Python Course
Python is regarded as an embedded scripting language that is used for web development, Data Science, and cloud operations. In this course, students will use Python for statistical analysis and Data Visualization along with exploring and understanding the core programming features like data structures, conditionals, loops, variables, and functions. They will also gain an understanding of the application of coding and will be able to create, run, and debug a code. They will also understand the fundamentals of Python from syntax to modules. The students will also learn to write loops and decision statements. They will learn the use of Python classes to design object-oriented programs. They will also be introduced to the advanced techniques leveraged to implement sophisticated frameworks like Django along with an introduction to concurrent and parallel programming. So, enrol for the Core Python training at 360DigiTMG which is designed for students, software engineers, systems analysts, program managers, and support personnel. In this course, you will-
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Who Should Sign Up?
- Math, Science and Commerce graduates
- Mid-level executives with no programming knowledge
- Managers with basic programming knowledge
- Anyone with interest in coding
- Students aspiring to become adroit programmers
Training Modules of Core Python
Python is considered to be a flexible, powerful object-oriented, and an interpreted language with a wide range of applications that includes Data Science, Data Analytics, Big Data, and also developing various games and web applications. These modules on ‘Core Python’ will expand your concepts and introduce you to tools that will enhance your Python palette. The modules begin with an introduction to Python Programming with the Installation of Python & Associated Packages. The modules go on to explore the concepts of Python like data types, data structures, tuples, lists, basic operators, functions, GUIs, regular expressions, conditional statements, networking, and much more. The modules also give an in-depth understanding of Database Programming and connectivity to various Data Sources along with an Extensive coverage of Django Framework.
- Introduction to Python Programming
- Installation of Python & Associated Packages
- Graphical User Interface
- Installation of Anaconda Python
- Setting Up Python Environment
- Data Types
- Operators in Python
- Arithmetic operators
- Relational operators
- Logical operators
- Assignment operators
- Bitwise operators
- Membership operators
- Identity operators
- Data structures
- Vectors
- Matrix
- Arrays
- Lists
- Tuple
- Sets
- String Representation
- Arithmetic Operators
- Boolean Values
- Dictionary
- Conditional Statements
- if statement
- if - else statement
- if - elif statement
- Nest if-else
- Multiple if
- Switch
- Loops
- While loop
- For loop
- Range()
- Iterator and generator Introduction
- For – else
- Break
- Functions
- Purpose of a function
- Defining a function
- Calling a function
- Function parameter passing
- Formal arguments
- Actual arguments
- Positional arguments
- Keyword arguments
- Variable arguments
- Variable keyword arguments
- Use-Case *args, **kwargs
- Function call stack
- Locals()
- Globals()
- Stackframe
- Modules
- Python Code Files
- Importing functions from another file
- __name__: Preventing unwanted code execution
- Importing from a folder
- Folders Vs Packages
- __init__.py
- Namespace
- __all__
- Import *
- Recursive imports
- File Handling
- Exception Handling
- Regular expressions
- Oops concepts
- Classes and Objects
- Inheritance and Polymorphism
- Multi-Threading
- List Comprehensions
- List comprehension
- Dictionary comprehension
- Enumerate
- Zip and unzip
- Generator Expressions
- Tuples – Nested, Names, Unpacking
- Splitting – Slicing Objects, Ellipsis
- Augmented Assignments with Sequences
- Build-in Sort Functions
- Ordered Sequences with Bisect
- Arrays, Memory Views, Deques
- Handling Missing Keys
- Set Theory, Variations, Operations
- Higher-Order Functions
- Function Annotations
- Functional Programming Packages
- Procedural vs Functional
- Pure functions
- Map()
- Reduce()
- Filter()
- Lambdas
- Loop vs Comprehension vs Map
- Identify, Equality & References
- MySQL db Module
- INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations on SQL using Python
- Python Packages
- Pandas – Series, Dataframes
- Numpy – Arrays, Memory, Matrices, Broadcasting, Masked Arrays
- Scipy
- Matplotlib
- Seaborn
- Sklearn (Scikit Learn)
- Statsmodels
- Jupyter Notebooks, IPython Notebooks
- Data Collection using CSV, JSON, XML, HTML & Scrapping
- Data Wrangling
- Understanding
- Filtering
- Typecasting
- Transformations & Normalization
- Imputation
- Handling Duplicates & Categorical Data
- Data Summarization
- Data Visualizations using Python Packages
- Line Chart
- Bar Chart
- Histogram
- Pie Charts
- Box Plots
- Scatter Plots
- Figures & Subplots
- Additional Visualization Packages – bokeh, ggplot, plotly
- Python XML and JSON parsers
- Basic Images Processing using Python OpenCV
- Dates and Times
- Binary Data
- Pythonic Programming
- Exception Handling
- Purpose of Exception Handling
- Try block
- Except block
- Else block
- Finally block
- Built-in exceptions
- Order of ‘except’ statements
- Exception - mother of all exceptions
- Writing Custom exceptions
- Stack Unwinding
- Enhancing Classes
- Metaprogramming
- Developer Tools
- Unit Testing with PyTest
- Multi-Threading
- Program Memory Layout
- Concurrency
- Parallelism
- Process
- Thread of execution
- Creating a thread
- Joining a thread
- Critical section
- Locks
- PyQt
- Network Programming
- Scripting for System Administration
- Serializing
- Advanced-Data Handling
- Implementing Concurrency
- Asynchronous programming
- The asyncio framework
- Reactive programming
- Parallel Processing
- Introduction to parallel programming
- Using multiple processes
- Parallel Cython with OpenMP
- Automatic parallelism
- Introduction to Concurrent and Parallel Programming
- Technical requirements
- What is concurrency?
- Not everything should be made concurrent
- The history, present, and future of concurrency
- A brief overview of mastering concurrency in Python
- Setting up your Python environment
- Django with REST Webservices
- Client-Server architecture
- Web Application
- Web framework
- Installing Django modules
- Creating first basic Django
- Creating Model classes
- Django Template tags and template programming
- Django rest framework
- Understanding REST Architecture
- HTTP GET, POST
- JSON serialization
- Writing REST API
- Web Extraction
- Beautiful Soup
- Selenium
- Serialization pickling, XML & JSON
- Introduction to Serialization
- Structure and Container
- Pickle Module
- pickling built-in data structures
- byte strings
- binary
- xml parsing and construction - xml
- json parsing and construction - json, simplejson
- Logging
- Purpose of logging
- Logging levels
- Types of logging
- Logging format
- Logging Handlers
- Disadvantages of excessive logging
- Custom loggers
Tools Covered
Core Python Course Training Trends
Python remains pivotal in programming education across the USA due to its versatility in web development, data analysis, and AI applications. Core Python training focuses on foundational concepts such as syntax, data types, control structures, and functions, which are essential for building a strong programming foundation.
Recent trends show a shift towards practical, project-based learning approaches within Python courses. Universities, coding boot camps, and online platforms are integrating real-world projects to enhance application skills and prepare students for industry demands.
Python's prominence extends into fields such as data science and machine learning, where it serves as a primary language for prototyping and deployment. This integration underscores Python's critical role in modern tech landscapes. As demand for Python proficiency grows across sectors, core Python training courses are crucial in equipping learners and professionals with essential skills to navigate and excel in today's competitive job market.
Why 360DigiTMG?
- Additional Assignments of over 60+ hours
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 support
- 100% Practical Oriented Course
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on experience in a live project
- Offline Hiring Events
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Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Core Python Certificate is your passport to an accelerated career path.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
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AVP Technology
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FAQs for Core Python Course
Only graduates can pursue this course. You must finish your undergraduation in Mathematics/ Statistics/ Computer Science/ Data Science or your Bachelors's in Engineering ( any discipline) to enroll in this course.
To enroll in this course you must possess an undergraduate degree in Mathematics/ Statistics/ Computer Science/ Data Science or a Bachelor's degree in Engineering ( any discipline).
Once you receive the Course Completion Certificate you will have to enroll for an internship with AiSPRY. There you will have to work on a live project. Once you complete your project you will receive an Internship Certificate.
The candidate must possess some programming knowledge and computer skills before joining this program.
360DigiTMG is the best institute in USA for Python and R training. We provide live project training with AiSPRY.
Yes. We do teach the basics of Python and R programming, mathematics and statistics with this programme.
We cover the following modules :
- Operations in Python and R
- Packages in Python and R
- Data types in Python and R
- Functions in Python and R
- Error handling in Python and R
- Data Analytics in Python and R
- Data visualization in Python and R
- Machine Learning and AI packages in Python and R
The learning outcomes of this course are:
- Understand the applications of Python and R for developers
- Script code in R and Python
- Understand and work with various R and Python data types
- Work with R and Python GUI tools
- Compose your functions and pass arguments to programmes
- Learn to read and write data/ files for processing
The duration of the course is 1 months and it includes 24 hours of online sessions, 30 hours of Assignments and E-learning and 30 hours of live project exposure.
After you join, you can download the course material from our online Learning Management System AISPRY.
We provide complete placement assistance. We assist students in resume preparation and we conduct mock interviews. We also float their resumes to placement consultants with whom we have a long-standing association. Once selected we provided technical assistance on the first project on the job.
We video record all our online sessions and store the videos in our online Learning Management System (AISPRY).If you miss a online session, you can access the video from AISPRY.
Each student receives a mentor as soon as he joins. If we feel the student needs additional help we might assign another mentor later.
Once you finish your online sessions and submit your assignments you will receive a course completion certificate.
We host free webinars on youtube. Click on the link given below to watch our webinars.
Jobs for Python professionals
Python programming has gone mainstream and presents several avenues to meaningful work. So, if you are skilled in Python you can become a Developer, Product Manager, Data Analyst, Financial Advisor, etc.
Salaries for Python professionals
With each passing year, Python has taken the world of programming by storm. The average salary of a Python developer in the field of Data Science is Rs 618,413 and as a web developer, the average salary comes to Rs 409,101.
Projects in Python
The best way to understand the code is to work on projects to test your application. The various projects one can work on include creating and training machine learning models with TensorFlow and for data analysis and data mining purposes using Scikit-learn.
Open Source tools in Python
Some of the most widely used Python tools by coders and developers include Scikit-Learn, Keras, SciPy, and Theano and some of the automation testing tools include Selenium, TestComplete, and Robot Framework.
Modes of training for Core Python
The course in USA is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of online learning. We also support e-learning as part of our curriculum.
Industrial application of Python
Python is used across various applications that involve predictive maintenance and automation tasks. It is also used for Console-based applications that run from the command-line or shell. Frameworks like PyTorch and TensorFlow also use Python.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
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