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Data Science with Python Course Syllabus

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The preferred language for data science is Python. Our data science with python course syllabus  will provide you with the hands-on skills you need to analyze data, create machine learning models, and use Python to glean insightful information from data. You will build a solid basis for a prosperous career in data science and obtain practical experience with important Python packages through our python for data science syllabus. Our syllabus of python for data science uses the Python programming language to provide students a hands-on introduction to data science.

Course Syllabus

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  • Why do we need Python?
  •  Program structure
  • Interactive Shell
  •  Executable or script files
  •  User Interface or IDE
  • Memory management and Garbage collections
  • Object creation and deletion
  • Object properties
  •  Numbers
  •  Strings
  •  List
  •  Tuple
  •  Dictionary
  •  Other Core Types
  • Assignments, Expressions and prints
  • Statements and Syntax
  •  If tests and Syntax Rules
  •  While and For Loops
  •  Iterations and Comprehensions
  • Functions
  • Function definition and call
  •  Function Scope
  •  Arguments
  •  Function Objects
  •  Anonymous Functions
  • Exception Handling
  • Default Exception Handler
  •  Catching Exceptions
  •  Raise an exception
  •  User defined exception
  • All the topics in data science will covered with following concept:
  • All the topics in data science will covered with following concept:
  •  Mathematics beside of each model
  •  Which scenario we want to use a particular algorithm
  •  How to apply it in tool
  •  An inferential thing of each model
  • Introduction to Machine Learning & Predictive Modelling
  •  Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
  • Standard Deviation
  •  Variance
  •  Concept of hypothesis testing
  •  T-test
  •  Chi-square
  •  Anova
  •  Correlation
  •  Probability
  •  Outliers
  •  Drop highly correlated features

Acquire the necessary skills for a prosperous career in data science, students will learn how to use Python’s robust libraries to gather, clean, analyze, visualize, and model data with our python with data science syllabus.

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