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Introduction to Data Science with Python for beginners

 

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What you’ll learn
  • How to set up environment to explore using Jupyter Notebook
  • How to import Python Libraries into your environment
  • How to work with Tabular data
  • How to explore a Pandas DataFrame
  • How to explore a Pandas Series
  • How to Manipulate a Pandas DataFrame
  • How to clean data
  • How to visualize data

 

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Requirements
  • FamiliarIty with data formats eg excel,csv
  • Comfortable using a computer and internet
 
Description
 

Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information

 

Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development.   Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.

 

Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language.

 

That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it’s flexibility. Python is used a lot in data science. 

This course is a beginners course that will introduce you to some basics of data science  using Python.

 

What You Will Learn

  • How to set up environment to explore using Jupyter Notebook
  • How to import Python Libraries into your environment
  • How to work with Tabular data
  • How to explore a Pandas DataFrame
  • How to explore a Pandas Series
  • How to Manipulate a Pandas  DataFrame
  • How to clean data
  • How to visualize data

 

Who this course is for:
  • Beginners to Data Science
  • Beginners to Python

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