Crystalspiders Institute

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Crystalspiders Institute

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    • Home
    • courses
      • SQL & PLSQL Development
      • Microsoft SQL Server DBA
      • PowerBI and Analytics
      • Python and Analytics
    • Placements
      • Opportunities
      • Placements
    • Register Demo
    • About Trainer
    • Testimonials
    • FAQs
      • SQL & PLSQL
      • Microsoft SQL Server DBA
    • Corporate
    • Contact US
  • Home
  • courses
    • SQL & PLSQL Development
    • Microsoft SQL Server DBA
    • PowerBI and Analytics
    • Python and Analytics
  • Placements
    • Opportunities
    • Placements
  • Register Demo
  • About Trainer
  • Testimonials
  • FAQs
    • SQL & PLSQL
    • Microsoft SQL Server DBA
  • Corporate
  • Contact US

Professional Training in Python Programming and Analytics

TRAINING STARTS

TRAINING STARTS

TRAINING STARTS

Apr 28th, 2025 @ 12 PM to 01 PM IST

Demo classes on Apr 28th & 29th 

at 12 PM to 1 PM IST

DURATION

TRAINING STARTS

TRAINING STARTS

12 Weeks

Weekdays (Monday to Friday) classes

Online & Offline Training

TRAINING FEE

TRAINING STARTS

TRAINING FEE

15000 INR

GST will be charged at checkout

View payment plan

Glimpse of Python Training Images

    Programme Overview

    Python is a popular high-level, general-purpose programming language. In 1991, Guido van Rossum invented it, and the Python Software Foundation continued to develop it. Programmers may communicate their ideas in less lines of code because to its syntax, which was developed with readability of code as a primary focus.
     

    Python is a programming language that facilitates faster work and more effective system integration.


    We discuss the following key con concepts as part of our Python programming training.

      

    • Learn the fundamentals of the Python programming language and its uses.
    • Discover how to set up and install the Python environment on various operating systems. Gain an understanding of and make use of Python modules to improve functionality and code reuse.
    • Gain proficiency in Python programming to effectively automate repetitive chores.
    • Get practical Python experience for for Data Analytics.
    • Learn the best practices for writing clear, efficient, and maintainable Python code.
    • Learn about the principles of Data Analytics and how to use Python to manage data  resources.
    • To maintain reliable scripts and applications, get proficient in debugging and troubleshooting Python projects.
    • With advice on complex Python subjects and developer suggestions, get ready for real-world situations. 


    Programme Highlights

    • 10 Weeks Live & Offline Classes
    • Troubleshoot 100+ Realtime issues
    • 130+ Python Programs

    • Hands On Practice with Real-time requirements
    • Trainer available for doubts clear
    • Online Work Support Available

    • 50+ Hours of generative Python class notes
    • Share daily homework to practice more Python programs
    • Discuss 100+ FAQs

    World-class learning with faculty-led & live classes

    Professional Trainers

    Professional Trainers

    Professional Trainers

    • Learn from the best instructors and resources from anywhere in the world via our Online training programs.
    • Our trainers are available 24*7 regardless of their location.


    Cohort Based Learning

    Professional Trainers

    Professional Trainers

    • Learn with an accomplished group of peers and build your network.
    • Our technical blogs address most of the frequent questions and/or issues
    • Gain hands on industry and functional knowledge.

    More Services

    Professional Trainers

    More Services

    • Resume Build
    • Mock Interviews
    • FAQs preparation
    • Placement Assistance
    • Soft copy materials
    • Provide Software's
    • Course completion certificate

    Programme Modules

    • What can Python do?  
    • Why Python?
    • Python Syntax compared to other  programming languages
    • Python Install 


    • Print statement 
    • Comments
    • Python Data Structures & Data  Types
    • String Operations in Python
    • Simple Input & Output
    • Simple Output Formatting
    • Operators in python
    • Lists 
    • Matrixes
    • Functions
    • Dictionaries 


    • Indentation 
    • IF statement and its examples
    • WHILE loop 
    • FOR loop 
    • RANGE statement 
    • Break &Continue 


    • Create your own functions
    • Functions Parameters 
    • Variable Arguments 
    • Scope of a Function 
    • Function Documentations 
    • Lambda Functions& map 
    • Exercise with functions 
    • Create a Module 
    • Standard Modules


    • Exception handling with try 
    • Handling Multiple Exceptions 
    • Writing your own Exception


    • File handling Modes
    • Reading Files
    • Writing & Appending to Files 
    • Handling File Exceptions 
    • The WITH statement


    • New Style Classes 
    • Creating Classes 
    • Instance Methods 
    • Inheritance 
    • Polymorphism 
    • Exception Classes & Custom Exceptions 


    • Iterates 
    • Generators 
    • The Functions any and all 
    • With Statement 
    • Data Compression


    • List Comprehensions 
    • Nested List Comprehensions 
    • Dictionary Comprehensions 
    • Functions 
    • Default Parameters 
    • Variable Arguments 
    • Specialized Sorts 
    • Binary Search 


    • JSON Module 
    •  CSV Module 


    • Program execution time 
    • More methods on date/time 
    • Map 
    • Decorators 
    • Regular expression - Split, Match, find all, substitute, Search methods 
    • Threads ESSENTIAL - Class and threads, Multi-threading, Synchronization, Life cycle 
    • Logging Module 
    • Copy Module 
    • Slicing 


    • Introduction to RDBMS 
    • Installation of MS SQL Server 
    • DB Connection and SSMS component 
    • Creating Databases
    • DDL, DML, DRL operations and practice 
    • Joins in SQL 
    • Sub-Queries in SQL 
    • String Functions 
    • Datetime Functions 
    • Aggregate Functions 


    • Introduction to Analytics
    • Introduction to Pandas
    • Purpose and Create the Data frames
    • Series in Pandas
    • Operators in Data frames
    • Validation in Data frames
    • Extract the data
    • Display the data in various formats
    • Filtering the data
    • Query to evaluate the data
    • Data cleaning & Remove duplicates
    • Sorting the data
    • Usage of the Maps
    • Row and Column level functions
    • Indexing and sampling the data
    • Work with categorical data
    • Create Dummy variables
    • Read data from multiple files
    • Perform aggregations by Group by option
    • Transform, Cross table and Pivoting data
    • Handle missing data
    • Reshaping the data
    • Join, Merge the data
    • Concatenate the data
    • 3rd party APIs


    Check out this great video for demo class on PowerBI & Analytics

    Contact Us

    Message us on WhatsApp

    Crystalspiders Institute

    Marathahalli, Bengaluru, Karnataka, India

    +917338457517

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