PYTHON course detail

Description

- This course is provide online training course that is ‘Python certification training course’ from RCS Technologies. This course will help you master the concepts and gain in detailed knowledge or experience on writing python code and packages like SciPy,Matplotlib,Pandas,Scikit-Learn,NumPy,Web scraping libraries and Lambda function. Also can learn how to write Python code for Big Data systems like Hadoop and Spark. These all are the part of Python Certifications Online course, it will be working on real world projects and case studies and huge experience in artificial intelligence technology

What will you learn
  • What will you learn in this Python course online?

    1. Importance and introduction to Python and its installation 2. Study OOP, expressions, data types, looping, etc. 3. functions, operations and class defining 4. Get to know the Machine Learning algorithms in Python 5. Course completion certificate from RCS Technologies 6. Be equipped for the Python professional certification

  • Who should take up this Python training certificat

    1. BI Managers and Project Managers 2. Software Developers and ETL Professionals 3. Analytics Professionals 4. Big Data Professionals 5. Those who wish to have a career in Python

  • What are the prerequisites for taking this Python course?

    You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help you.

  • Why should I learn Python programming language?

    1. Python’s design and libraries provide 10 times productivity compared to C, C++ or Java 2. A Senior Python Developer in the United States can earn Dollar102,000 – Indeed Python is a highly popular object-oriented language that is fast to learn and easy to deploy. It can run on various systems like Windows, Linux and Mac; this makes it highly coveted for the Data Analytics domain. Upon the completion of Python certification training, you can work in the Big Data Hadoop environment for very high salaries.

  • What Python projects will you be working on in this Python online course?

    This course includes real-life and industry-based projects, which will help you in gaining hands-on experience, and you will be executing these projects on online Python lab.

  • How is RCS Technologies Python certification awarded?

    RCS Technologies follows a rigorous certification process. To become a certified Python Programmer, you must fulfill the following criteria: Online Instructor-led Course Successful completion of all projects, which will be evaluated by trainers Scoring a minimum of 60 percent in the Python quiz conducted by RCS Technologies Self-paced Course Completing all the course videos in our LMS Scoring a minimum of 60 percent in the Python quiz conducted by RCS Technologies


Key Features
  • 1. 42 Hrs Instructor Led Training
  • 2. 24 Hrs Self-paced Videos
  • 3. 50 Hrs Project work & Exercises
  • 4. Certification and Job Assistance
  • 5. Flexible Schedule
  • 6. Lifetime Free Upgrade
  • 7. 24 x 7 Lifetime Support & Access

Lessons

  • 12 Lessons
  • 1.1 Introduction to Python Language

    1.2 Features, the advantages of Python over other programming languages

    1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python

    1.4 Deploying Python IDE

    1.5 Basic Python commands, data types, variables, keywords and more

  • 2.1 Built-in data types in Python

    2.2 Learn  classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug

    2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise

    2.4 Loop and control statements while, for, if, break, else, continue.

     

    Hands-on Exercise –

    1. Write your first Python program

    2. Write a Python Function (with and without parameters)

    3. Use Lambda expression

    4. Write a class

    5. Create a member function and a variable

    6. create an object

    7. Write a for loop

     

  • 3.1 How to write OOP concepts program in Python

    3.2 Connecting to a database

    3.3 Classes and objects in Python

    3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation

    3.5 Python functions, return types and parameters

    3.6 Lambda expressions

     

    Hands-on Exercise –

    1. Creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

     

  • 4.1 Understanding the Database, need of database

    4.2 Installing MySQL on windows

    4.3 Understanding Database connection using Python.

     

    Hands-on Exercise – Demo on Database Connection using python and pulling the data.

     

  • 5.1 Introduction to arrays and matrices

    5.2 Broadcasting of array math, indexing of array

    5.3 Standard deviation, conditional probability, correlation and covariance.

     

    Hands-on Exercise –

    1. How to import NumPy module

    2. Creating array using ND-array

    3. Calculating standard deviation on array of numbers

    4. Calculating correlation between two variables.

     

  • 6.1 Introduction to SciPy

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

     

    Hands-on Exercise –

    1. Importing of SciPy

    2. Applying the Bayes theorem on the given dataset.

     

  • 7.1 How to plot graph and chart with Python

    7.2 Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.

     

    Hands-on Exercise –

    1. Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram.

     

  • 8.1 Introduction to Python dataframes

    8.2 Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe

    8.3 Various data operations like selecting, filtering, sorting, viewing, joining, combining

     

    Hands-on Exercise –

    1. Working on importing data from JSON files

    2. Selecting record by a group

    3. Applying filter on top, viewing records

     

  • 9.1 Introduction to Exception Handling

    9.2 Scenarios in Exception Handling with its execution

    9.3 Arithmetic exception

    9.4 RAISE of Exception

    9.5 What is Random List, running a Random list on Jupyter Notebook

    9.6 Value Error in Exception Handling.

     

    Hands-on Exercise –

    1. Demo on Exception Handling with an Industry-based Use Case.

     

  • 10.1 Introduction to Thread, need of threads

    10.2 What are thread functions

    10.3 Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread

    10.4 Creating a Multithread, finishing the multithreads.

    10.5 Understanding Race Condition, lock and Synchronization.

     

    Hands-on Exercise –

    1. Demo on Starting a Thread and a Multithread and then perform multiple operations on them.

     

  • 11.1 Intro to modules in Python, need of modules

    11.2 How to import modules in python

    11.3 Locating a module, namespace and scoping

    11.4 Arithmetic operations on Modules using a function

    11.5 Intro to Search path, Global and local functions, filter functions

    11.6 Python Packages, import in packages, various ways of accessing the packages

    11.7 Decorators, Pointer assignments, and Xldr.

     

    Hands-on Exercise –

    1. Demo on Importing the modules and performing various operation on them using arithmetic functions

    2. Importing various packages and accessing them and then performing different operations on them.

     

  • 12.1 Introduction to web scraping in Python

    12.2 Installing of beautifulsoup

    12.3 Installing Python parser lxml

    12.4 Various web scraping libraries, beautifulsoup, Scrapy Python packages

    12.5 Creating soup object with input HTML

    12.6 Searching of tree, full or partial parsing, output print

     

    Hands-on Exercise –

    1. Installation of Beautiful soup and lxml Python parser

    2. Making a soup object with input HTML file

    3. Navigating using Py objects in soup tree.

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RCS-TECHNOLOGIES – 2021-05-06 10:07:20:

It was Good !!