Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
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Об этом курсе
Карьерные результаты учащихся
15%
Чему вы научитесь
Explain Python Basics including Types, Expressions, and Variables.
Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets.
Apply Python programming using Branching, Loops, Functions, Objects & Classes.
Work with data in Python using Pandas and Numpy libraries.
Приобретаемые навыки
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Numpy
Карьерные результаты учащихся
15%
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IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Программа курса: что вы изучите
Python Basics
This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.
Python Data Structures
This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.
Python Programming Fundamentals
This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.
Working with Data in Python
This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.
Рецензии
- 5 stars71,84 %
- 4 stars20,88 %
- 3 stars4,51 %
- 2 stars1,50 %
- 1 star1,25 %
Лучшие отзывы о курсе PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
A solid introduction to Python in general. It can help you start getting acquainted with how programming languages work in general and gives a good overview of how Python can be used for data science.
Its good course, this course will tell you how to use data structure, pandas , numpy etc using examples. Good theory material for each topic like function, List, Set etc.\n\nThanks all the best
-Good Course for basics of python and intro to Pandas and Numpy -More exercises related to Pandas and Numpy would be good for practice.\n\n-The course isn't updated with the latest UI of IBM Watson
it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.
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