Elevate Your Coding Journey: Unleash the Power of Python with Our Dynamic Course!
Why Choose Python Course Through GyanBridge?
Certification of Completion
Our program includes a certification of completion, boosting
the value of your professional portfolio and showcasing your
practical skills.
Online Classes and 24/7 Support
Engage in live classes and receive continuous support roundthe-clock, ensuring an uninterrupted learning journey.
Expert Mentors and Instructors
Learn from seasoned professionals and mentors who provide
tailored guidance and insights to enhance your learning
experience
Hands-On Projects
Explore the benefits of hands-on projects, fostering a
dynamic learning environment through interactive sessions
and practical application of ReactJS concepts
What Will You Learn?
INTRODUCTION TO DATA ANALYST
ADVANCE EXCEL
SQL
STATISTICS
TABLEAU
PYTHON
MACHINE LEARNING
POWER BI
Course Content
- Introduction to Python Language
- Features, the advantages of Python over other programming languages
- Python installation – Windows, Mac & Linux distribution for Anaconda Python
- Deploying Python IDE
- Basic Python commands, data types, variables, keywords, and more
- Built-in data types in Python
- Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
- Basic operators, comparison, arithmetic, 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 and covariance.
- Introduction to SciPy
- Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.
- How to plot graph and chart with Python
- Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.
- 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 of Exception
- What is Random List, running a Random list on Jupyter Notebook
- Value Error in Exception Handling.
- Introduction to Thread, need of threads
- What are thread functions
- Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
- Creating a Multithread, finishing the multithreads.
- Understanding Race Condition, lock and Synchronization.
- Intro to modules in Python, need of modules
- How to import modules in python
- Locating a module, namespace and scoping
- Arithmetic operations on Modules using a function
- Intro to Search path, Global and local functions, 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 of beautifulsoup
- Installing Python parser lxml
- Various web scraping libraries, beautifulsoup, Scrapy Python packages
- Creating soup object with input HTML
- Searching of tree, full or partial parsing, output print
