Data Science with Python Course

This Data Science with Python course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Learning Center Data Science with Python training.

Data Science with Python Certification Key Highlights

Eligibility Criteria

You can join data science after 12th. Students from science background (preferrably engineering / maths / technology) can apply to any data science course at the graduation, certification, or diploma level. You just need to have a minimum of a UG degree in any specialization to become a Data Scientist.
The applicant should have a Bachelor's degree in Science / Engineering / Business Administration / Commerce / Mathematics / Computer Applications or a Masters degree in Mathematics / Statistics / Commerce with 50% or equivalent passing marks.

Course Curriculum

  • What is Python?
  • Features of Python
  • Installation of Python
  • Installation of Anaconda
  • Applications of Python
  • What are Variables?
  • Rules for Naming a Variable
  • Data Types in Python
  • Type Casting
  • Arithmetic Operators
  • Assignment Operators
  • Logical Operators
  • Relational Operators
  • Membership Operators
  • Identity Operators
  • Bitwise Operators
  • If Block
  • If...else Block
  • If...elif...else Block
  • Nested Conditions
  • While Loop
  • For Loop
  • Break, Continue, and Pass Keywords
  • Conditions with Loops
  • Nested Loops
  • What are function?
  • Defining a function
  • Calling a function
  • Types of Arguments
  • Recursion
  • Objects and Classes
  • Attributes and Methods
  • Inheritance
  • Polymorphism
  • Data Abstraction
  • Encapsulation
  • Creating a Module
  • Importing a Module
  • Creating a Package
  • Importing a Package
  • Built-in Modules in Python
  • Installing Packages using pip
  • How to Open a File using Python
  • Reading and Writing
  • Closing a File
  • OS Module
  • What is an Exception?
  • Try...Except Block
  • Else Block
  • Finally Block
  • Raise Keyword
  • Custom Exceptions
  • What are Regular Expressions?
  • Metacharacters
  • re Module
  • Match Objects
  • What is Web Scraping?
  • Applications of Web Scraping
  • Beautiful Soup

Python Projects

Project 1

Products rating prediction for Amazon

Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.

Project 2

Demand Forecasting for Walmart

Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.

Project 3

Improving customer experience for Comcast

Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.

Tools Covered

Certification & Faq

Once you successfully complete the Data Science with Python training, provide you with an industry-recognized course completion certificate which will have a lifelong validity

Online Classroom:

  • Attend one complete batch of Data Science with Python training.
  • Submit at least one completed project.

Online Self-Learning:

  • Complete 85% of the course
  • Submit at least one completed project.

PYTHON

LIVE INTERACTIVE TRAINING

Live Interactive Training from Industry Experts
Real Time Doubt Solving
Assistance with Practical

RESOURCES

Python Codes
Lecture Recordings
Interview Questions
Practice Examples

PROJECTS

Beginner to Advanced Level Projects
Assistance in Creating Projects
Helps Enhance Your Resume

  • What is Python?
  • Features of Python
  • Installation of Python
  • Installation of Anaconda
  • Applications of Python
  • What are Variables?
  • Rules for Naming a Variable
  • Data Types in Python
  • Type Casting
  • Arithmetic Operators
  • Assignment Operators
  • Logical Operators
  • Relational Operators
  • Membership Operators
  • Identity Operators
  • Bitwise Operators
  • If Block
  • If...else Block
  • If...elif...else Block
  • Nested Conditions
  • While Loop
  • For Loop
  • Break, Continue, and Pass Keywords
  • Conditions with Loops
  • Nested Loops
  • What are function?
  • Defining a function
  • Calling a function
  • Types of Arguments
  • Recursion
  • Objects and Classes
  • Attributes and Methods
  • Inheritance
  • Polymorphism
  • Data Abstraction
  • Encapsulation
  • Creating a Module
  • Importing a Module
  • Creating a Package
  • Importing a Package
  • Built-in Modules in Python
  • Installing Packages using pip
  • How to Open a File using Python
  • Reading and Writing
  • Closing a File
  • OS Module
  • What is an Exception?
  • Try...Except Block
  • Else Block
  • Finally Block
  • Raise Keyword
  • Custom Exceptions
  • What are Regular Expressions?
  • Metacharacters
  • re Module
  • Match Objects
  • What is Web Scraping?
  • Applications of Web Scraping
  • Beautiful Soup