Certification Course In Core Python - 40 Hrs

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 Cognitec.

About Core Python Course

Python is an interpreted high-level general-purpose programming language that highlights code readability. Core python supports object-oriented, structured and functional programming.

Core python is a highly flexible language which is used in AI and machine learning, Data analytics, Data visualization, Programming applications, and Web development.

Core python is the most preferred programming language among the world of engineers, programmers, and developers.

Giant organizations like NASA, Google, and IMB prefer core python to develop their various production applications using core python.

Advance your career game with our top certificate course on core Python.

Core Python is the favourite programming language used by data scientists across the globe.

You'll study the advanced theoretical concepts like Multi-Threading, Exception Handling, Writing Scripts, Sequence, and File operations in Python along with multiple Python Packages for analyzing data.

Our core Python training is focused to provide complete Python programming language skills to make you an expert and avail yourself the high-paying job opportunities in this field.

You'll learn how to use the core python language for web development, data science, and cloud operations.

You'll learn to use python for statistical analysis and Data Visualization.

You'll learn to design and program Python applications.

You'll learn to use core programming features like data structures, conditionals, loops, variables, and functions.

You'll learn to create, run, and debug Python code and also the fundamentals of Python from syntax to modules.

You'll learn also learn to write loops and decision statements and use Python classes in programs.

You'll learn advanced techniques to execute frameworks like Django.

Core Python Training Modules

In this module, we’ve covered fundamental and advanced concepts of the core Python Programming Language. Our certificate course in Core Python lets you master the fundamentals, Data structures dictionaries & sets and gives you hands-on practical experience with a functional application of Python.

  • Python Introduction
  • 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 | Relational | Logical | Assignment | Bitwise | Membership | Identity
  • 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, Actual, Positional, Keyword, Variable arguments and 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
  • Namespace
  • Recursive imports
  • File Handling
  • Exception Handling
  • Regular expressions
  • Oops concepts
  • Classes and Objects
  • Inheritance and Polymorphism
  • Multi-Threading
  • Python Data Structures, Dictionaries & Sets
  • 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 for Analysing the Data
  • 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
  • Advance Python Programming
  • 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
  • JSON serialization
  • Writing REST API
  • Advance Python Programming: Web Extraction and Serialization
  • 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

Get a certificate and showcase your dedication to your career. Utilize it to differentiate yourself in the industry, get acknowledged in the job market and boost your job profile value. This certificate is your ticket to a skyrocketing in your career.

Tools Covered

How we prepare you

60+ hours of Assignment

Unlimited learning sessions (Live Classes, Free Webinars etc)

Interview preparation program

Unlimited LMS Access

Internship opportunities & Job Assistance

Live Projects with Real-Time Scenario

Value added Additional Courses

24x7 One-to-One learning support

Data Science Foundation Training Panel of Coaches

Areas of expertise: Pythong and R language Programming

Over 20+ years of industry experience in data science and business intelligence

There are no strict requirements to enrol in a data science course. However, your mere desire to switch to a data science job is very important. Any graduates with good analytical & logical skills can sign-up for this course.

You may require minimum graduation to pursue this course.

Yes, why not? Learning something new is always exciting. Moreover, Big Data, Machine Learning & AI are the future in all industries.

Yes, you can access all digital notes provided by Cognitec at any time.

There are huge job openings available for data professionals. As your course gets completed our hiring team will start sharing your profiles with our connected tech companies for job placements.

Missed classes will be compensated in the future batches.You ll have the access of re-learning multiple times within an year.

No. Your certificate cost is included in your course fee.

Yes, you do have access to our mentors via WhatsApp group. You can reach them anytime for any subject-related clarifications during the course period and after that.

You'll have plenty of assignments throughout your course. After each class, your mentor will give assignments to make sure that you had practised the learned concepts.

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