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    Curriculum

    • Introduction to Python Language
    • Features,the advantages of python over other programming languages
    • Python Installation – Window, Mac & Linux distribution for Anaconda Python
    • Deploying Python IDE
    • Basic Python Commands, Data Types, Variable, Keywords and more

    • Built-in data types in Python
    • Learn Classes, Modules, Str(String), Ellipses Object, Null Object, Ellipses, Debug
    • Basic Operators, Comparison, airthmatic, slicing and slice operator, logical, bitwise
    • Loop and control statements while, for, if, break, else, continue

    • How to write OOP concepts program in Python
    • Connecting to a database
    • Classes and objects in Python
    • OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
    • Python functions, return types and parameters
    • Lambda expressions

    • Understanding the Database, need of database
    • Installing MySQL on windows
    • Understanding Database connection using Python

    • Introduction to arrays and matrices
    • Broadcasting of array math, indexing of array
    • Standard deviation, conditional probability, correlation & covariance

    • Introduction to SciPy
    • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages.
    • SciPy with Bayes Theorem

    • How to plot graphs and charts with Python using Matplotlib
    • Various aspects of line, scatter, bar, histogram, and 3D plots
    • Understanding the API of Matplotlib
    • Creating subplots using Matplotlib

    • Introduction to Python dataframes
    • Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
    • Various data operations like selecting, filtering, sorting, viewing, joining, combining

    • Introduction to Exception Handling
    • Scenarios in Exception Handling with its Execution
    • Arithmetic exception
    • RAISE in Exception
    • What is Random List, running a Random list on Jupyter Notebook
    • Handling Value Errors in Exception Handling in Python

    • Introduction to Thread and the Need for Threads
    • What are thread functions
    • Performing various operations on thread-like joining a thread, starting a thread, and enumeration in a thread
    • Creating a multithread and finishing the multithreads in Python
    • Understanding Race Condition, Lock and Synchronisation

    • Introduction to modules in Python and the need for modules
    • How to import modules in Python
    • Locating a module, namespace and scoping
    • Arithmetic operations on modules using a function
    • Introduction to the search path, global and local functions, and filter functions
    • Python Packages, import in packages, various ways of accessing the packages
    • Decorators, pointer assignments, and Xldr

    • Introduction to web scraping in Python
    • Installing Beautiful Soup and Python parser LXML
    • Various web scraping libraries, such as Beautiful Soup and Scrapy
    • Python packages for web scraping
    • Creating soup object with input HTML
    • Searching the tree, full or partial parsing, and output print

    Courses Details

    Duration

    4-6 Months

    Mode

    Online + Offline

    Internship Opportunities

    Yes

    Live Project

    Yes

    How would Kochiva's Python Language Course transform you?

    Kochiva's Python Course is exclusively designed to provide a Live Internship like experience to the students to make them ready for real-world jobs.

    Hands-on experience with real-world data projects

    Ideal for College Internship Training

    Mentors with 15+ years of corporate experience

    Frequently Asked Questions?

    Python is generally considered one of the easiest programming languages for beginners. Becoming an experienced Python developer requires effort, practice, and patience.

    Three months is enough time to have a solid foundation in Python programming. With regular practice, you can learn how to write programs, manipulate data, and build simple applications in Python in 3 months. However, mastering the libraries and advanced concepts take longer than three months.

    Python is generally easier than Java due to its simple syntax, readability, and extensive libraries. Python's dynamic nature and automatic memory management make it easier to use than Java.

    Yes! With its range of libraries and frameworks, Python language can open up job opportunities like data analyst, data scientist, software developer, automation engineer and more,

    Online Python course offers convenience and flexibility. Taught by experts, Kochiva provides interactive learning, assignments, and quizzes. The online Python Language Course by Kochiva is both cost-effective and a great way to enhance your Python skills.

    Kochiva’s Python Language Course is the best course for training and upskilling employees at your workplace. The Python Language Course can help your employees gain new skills and improve their productivity, leading to better outcomes for your organisation.
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