Python for Data Science, AI & Development (IBM)

Colleagues, the “Python for Data Science, AI & Development - IBM” program will take you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. Training lessons include: 1) Python Basics, 2) Python Data Structures, 3) Python Programming Fundamentals, 4) Working with Data in Python, and 5) APIs and Data Collection. You will learn to: Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations. Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes. Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks. Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup. And gain highly marketable skills with Data Import/Export, Data Analysis, Scripting, and Data Collection.

Enroll today!: Teams and executives are welcome: https://edx.sjv.io/gReEY5

Listen today via Amazon Audible (https://tinyurl.com/ydbyh2t9) 

Or read now on Kindle (https://tinyurl.com/hptundzs) 

These books are part of the “Data-Driven Organizations” series.

1 - The Promise of Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - “The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age” (Audible) (Kindle)

Much career success from the Data Science Academy (please subscribe and share with your colleagues)