Python for Data Science , AI and Development Python for Data Science , AI and Development

Python for Data Science , AI and Development

Python for Data Science , AI and Development

Course Provider

Python for Data Science , AI and Development

Course Highlights:

  • Understanding Python: its fundamentals and uses.
  • Applying Python to data science.
  • Defining variables in Python.
  • Data structures and data analysis.
  • Performing I/O operations on files in Python.
  • How to use pandas: data analysis and manipulation in Python.
  • This course dives into the basics of Machine Learning using an approachable, and well-known programming language, Python. We will be reviewing two main components:
    • The purpose of Machine Learning and where it applies to the real world.
    • A general overview of Machine Learning topics, such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. We will explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error and Random Forests.
  • Certificate by SkillUp on course completion

What will you learn in Python for Data Science , AI and Development course?

After taking this course, you will know:

  • What Python is and why it is useful
  • The application of Python to Data Science
  • How to define variables in Python
  • Sets and conditional statements in Python
  • The purpose of having functions in Python
  • How to operate on files to read and write data in Python
  • How to use pandas, a must have package for anyone attempting data analysis in Python

Python for Data Science , AI and Development

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Web & Mobile Development
  • course-category-icon Course Category
    Popular Tech Topics
  • certified-earned-icon Certificate Earned Partner Completion certificate
    • cost-white-icon Course Price
      INR 2,999
      + 18% GST
    • duration-white-icon Course Duration
      5 Hours
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Why you should take Python for Data Science , AI and Development course?

This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.

Who should take Python for Data Science , AI and Development course?

This course is intended for those who want to learn about the use of Python in Data Science and start creating projects.

Curriculum

  • Module 1 - Python Basics
    • Your first program
    • Types
    • Expressions and Variables
    • String Operations
  • Module 2 - Python Data Structures
    • Lists and Tuples
    • Sets
    • Dictionaries
  • Module 3 - Python Programming Fundamentals
    • Conditions and Branching
    • Loops
    • Functions
    • Objects and Classes
  • Module 4 - Working with Data in Python
    • Reading files with open
    • Writing files with open
    • Loading data with Pandas
    • Working with and Saving data with Pandas
  • Module 5 - Working with Numpy Arrays
    • Numpy 1d Arrays
    • Numpy 2d Arrays
  • Final Assignment

Tools you will learn in Python for Data Science , AI and Development course

IBM Watson

FAQs

Python is a very popular programming language in AI and data science. It is both easy to learn and easy to use, and many of the data analysis and visualization tasks carried out by data scientists utilize coding in Python.

Data scientists often use both R and Python. Each language has its strengths and weaknesses. However, they also have their similarities, and both languages work well for many data science tasks. Generally, Python is considered an easy-to-learn general-purpose programming language, whereas R is harder to master because it has grown directly from statistical analysis. The question that experienced data scientists are asking, therefore, is not which is best for data science, but when is it best to use each language. 

This course is run by our partner SkillUp Online. It is 100% online, and you do not need to attend any classes in person. You simply require adequate access to the internet and the required technology to be able to use the course materials, which come in the form of articles, videos, and knowledge checks. Plus, you will be able to connect easily with others on the course and your mentors through the discussion space. 

As soon as you enroll for this course, you will have access to all the information and materials in your dashboard. 

You need to be familiar with Jupyter Notebook to take this course.

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