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Python Certification Training with Analytics and Visualization

Technogeeks’s best combination for Artificial Intelligence, Machine Learning, Data Science using Python programming certification course enables you to learn data science concepts from basics. This Python Course includes concepts such as object oriented programming, data operations, file handling and various Python libraries such as Numpy, Pandas, Matplotlib, Seaborn which are essential for AI. This course helps people to make career in AI Platform and even these essentials also helpful to grab the knowledge for other platforms integration with Python such as Embedded Systems, IOT, Biomedical etc. Our experts can help you to get more details about the same.

60Hours
2Projects
DoubtSessions
5
Upcoming Batches
Data Science with AI
May 30SAT & SUN (6 WEEKS)
  • TIMINGS 12 PM TO 3 PM (IST)
  • FILLING FAST
June 1MON - FRI (6 WEEKS)
  • TIMINGS 9 PM TO 11 PM (IST)
  • WEEK DAYS
About this course
Data Science with AI

Technogeeks’s best combination for Artificial Intelligence, Machine Learning, Data Science using Python programming certification course enables you to learn data science concepts from basics. This Python Course includes concepts such as object oriented programming, data operations, file handling and various Python libraries such as Numpy, Pandas, Matplotlib, Seaborn which are essential for AI. This course helps people to make career in AI Platform and even these essentials also helpful to grab the knowledge for other platforms integration with Python such as Embedded Systems, IOT, Biomedical etc. Our experts can help you to get more details about the same.

Curriculum
Data Science with AI
  • Introduction to Python

    • What is Python and brief history
    • Why Python and who use Python
    • Discussion on Python 2 and 3
    • Unique features of Python
    • Discussion on various IDE’s
    • Demonstration of practical use cases
    • Python use cases using data analysis
  • Setting up and installations

    • Installing python
    • Setting up Python environment for development
    • Installation of Jupyter Notebook
    • How to access our course material using Jupyter
    • Write your first program in python
  • Python object and data structures operations

    • Introduction to Python objects
    • Python built-in functions
    • Number objects and operations
    • Variable assignment and keywordsString objects and operations
    • Print formatting with strings
    • List objects and operations
    • Tuple objects and operations
    • Dictionary objects and operations
    • Sets and Boolean
    • Object and data structures assessment test
  • Python statements

    • Introduction to Python statements
    • If, elif and else statements
    • Comparison operators
    • Chained comparison operators
    • What are loops
    • For loops
    • While loops
    • Useful operators
    • List comprehensions
    • Statement assessment test
    • Game challenge
  • UDF functions and methods

    • Methods
    • What are various types of functions
    • Creating and calling user defined functions
    • Function practice exercises
    • Lambda Expressions
    • Map and filter
    • Nested statements and scope
    • Args and kwargs
    • Functions and methods assignment
  • File and exception handling

    • Process files using python
    • Read/write and append file object
    • File functions
    • File pointer and operations
    • Introduction to error handling
    • Try, except and finally
    • Python standard exceptions
    • User defined exceptions
    • Unit testing
    • File and exceptions assignment
  • Python modules and packages

    • Python inbuilt modules
    • Creating UDM-User defined modules
    • Passing command line arguments
    • Writing packages
    • Define PYTHONPATH
    • __name__ and __main__
  • Object oriented programming

    • Object oriented features
    • Implement object oriented with Python
    • Creating classes and objects
    • Creating class attributes
    • Creating methods in a class
    • Inheritance
    • Polymorphism
    • Special methods for class
  • Advanced Python Modules

    • Collections module
    • Datetime
    • Python debugger
    • Timing your code
    • Regular expressions
    • StringIO
    • Python decorators
    • Python generators
  • Package installation and parallel processing

    • Install packages on python
    • Introduction to pip, easy install
    • Multithreading
    • Multiprocessing
  • Introduction to Machine learning with Python

    • Understanding Machine Learning
    • Scope of ML
    • Supervised and Unsupervised learning
    • Milestone Project – 2
  • Data Analysis with Python

    • Introduction to data analysis
    • Why Data analysis?
    • Data analysis and Artificial intelligence bridge
    • Introduction to Data Analysis libraries
    • Data analysis introduction assignment challenge
  • Data analysis using Numpy

    • Introduction to Numpy arrays
    • Creating and applying functions
    • Numpy Indexing and selection
    • Numpy Operations
    • Exercise and assignment challenge
  • Pandas and advanced analysis

    • Pandas series
    • Introduction to DataFrames
    • Missing data
    • Groupby
    • Merging, joining and Concatenating
    • Operations
    • Data Input and Output
    • Pandas in depth coding exercises
  • Data visualization with Python

    • Plotting using Matplotlib
      • Plotting Numpy arrays
      • Plotting using object-oriented approach
      • Subplots using matplotlib
      • Matplotlib attributes and functions
      • Matplotlib exercises
    • Seaborn visualization
      • Categorical Plot using Seaborn
      • Distributional plots using Seaborn
      • Matrix plots
      • Grids
      • Seaborn exercises
  • Project and Resume Preparation

      • Project
      • Implementation
      • Optimization
      • Troubleshooting
      • VCS
      • SDLC
      • Resume Preparation
Features
Data Science with AI
6 Month Access
Real World Project
Placement Assessment
Python Certification Training with Analytics and Visualization
Data Science with AI
get certified on course completion

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