Python for Knowledge Science, AI & Improvement

About this Course

Kickstart your studying of Python for knowledge science, in addition to programming usually, with this beginner-friendly introduction to Python. Python is likely one of the world’s hottest programming languages, and there has by no means been larger demand for professionals with the power to use Python fundamentals to drive enterprise options throughout industries.

This course will take you from zero to programming in Python in a matter of hours—no prior programming expertise obligatory! You’ll be taught Python fundamentals, together with knowledge buildings and knowledge evaluation, full hands-on workout routines all through the course modules, and create a last mission to show your new abilities. By the tip of this course, you’ll really feel snug creating primary packages, working with knowledge, and fixing real-world issues in Python. You’ll acquire a robust basis for extra superior studying within the discipline, and develop abilities to assist advance your profession. This course might be utilized to a number of Specialization or Skilled Certificates packages. Finishing this course will depend in direction of your studying in any of the next packages: IBM Utilized AI Skilled Certificates Utilized Knowledge Science Specialization IBM Knowledge Science Skilled Certificates Upon completion of any of the above packages, along with incomes a Specialization completion certificates from Coursera, you’ll additionally obtain a digital badge from IBM recognizing your experience within the discipline.

This course is a part of a number of packages

This course might be utilized to a number of Specializations or Skilled Certificates packages. Finishing this course will depend in direction of your studying in any of the next packages:

• IBM Full Stack Software program Developer Skilled Certificates
• IBM DevOps and Software program Engineering Skilled Certificates

WHAT YOU WILL LEARN

• Clarify Python Fundamentals together with Varieties, Expressions, and Variables.

• Describe Knowledge Buildings in Python together with Lists, Tuples, Dictionaries, Units.

• Apply Python programming utilizing Branching, Loops, Features, Objects & Lessons.

• Work with knowledge in Python utilizing Pandas and Numpy libraries.

SKILLS YOU WILL GAIN

• Knowledge Science
• Python Programming
• Knowledge Evaluation
• Pandas
• Numpy

Syllabus – What you’ll be taught from this course

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WEEK

1

2 hours to finish

Python Fundamentals

This module teaches the fundamentals of Python and begins by exploring among the totally different knowledge varieties reminiscent of integers, actual numbers, and strings. Proceed with the module and learn to use expressions in mathematical operations, retailer values in variables, and the various other ways to govern strings.

WEEK

2

3 hours to finish

Python Knowledge Buildings

This module begins a journey into Python knowledge buildings by explaining the usage of lists and tuples and the way they can retailer collections of knowledge in a single variable. Subsequent find out about dictionaries and the way they operate by storing knowledge in pairs of keys and values, and finish with Python units to find out how the sort of assortment can seem in any order and can solely include distinctive components.

WEEK

3

5 hours to finish

Python Programming Fundamentals

This module discusses Python fundamentals and begins with the ideas of situations and branching. Proceed by means of the module and learn to implement loops to iterate over sequences, create features to carry out a selected process, carry out exception dealing with to catch errors, and the way courses are wanted to create objects.

WEEK

4

6 hours to finish

Working with Knowledge in Python

This module explains the fundamentals of working with knowledge in Python and begins the trail with studying easy methods to learn and write information. Proceed the module and uncover one of the best Python libraries that may support in knowledge manipulation and mathematical operations.