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Global Knowledge

Python Fundamentals for Data Science (TTPS4874)

Getting Started with Python for Engineers - Hands-on Python Basics for Analytics, Scientific and Math Computing | With Numpy, Pandas & More

GK #100670Virtual Classroom Live
FormatsVirtual Classroom LiveTopics5g · AI & machine learning

What you’ll learn

  1. Getting Started with the Python Environment
    • Starting Python
    • Using the interpreter
    • Running a Python script
    • Editors and IDEs
  2. iPython and Jupyterlab
    • iPython features & iPython "magic" commands
    • iPython configuration
    • Creating Jupyter notebooks
    • Managing notebooks with Jupyterlab
  3. Variables and Values
    • Using variables
    • Builtin functions
    • String data
    • Numeric data
    • Converting types
  4. Basic input and output
    • Writing to the screen
    • String formatting
    • Command line arguments
    • Reading the keyboard
  5. Flow Control
    • About flow control
    • The if statement
    • Relational and Boolean values
    • while loops
    • Exiting from loops
  6. Array types
    • Sequence types in general
    • Lists and list methods
    • Tuples
    • Indexing and slicing
    • Iterating through a sequence
    • Sequence functions, keywords, and operators
    • List comprehensions and generators
  7. Working with files
    • File I/O overview
    • Opening a text file
    • Reading a text file
    • Writing to a text file
  8. Dictionaries and Sets
    • About dictionaries
    • Creating dictionaries
    • Getting values
    • Iterating through a dictionary
    • About sets
    • Creating sets
    • Working with sets
  9. Functions, modules, and packages
    • Returning values
    • Types of function parameters
    • Variable scoping
    • Documentation best practices
    • Creating and importing modules
    • Organizing modules into packages
  10. Intro to Pandas
    • Pandas overview
    • Series and Dataframes
    • Reading and writing data
    • Data summaries
    • Data alignment and reshaping
    • Selecting and indexing
    • Basic Data Plotting
  11. Matplotlib
    • Creating a basic plot
    • Commonly used plots
    • Ad hoc data visualization
    • Leveraging Seaborn for better plots
    • Exporting images
  12. Intro to NumPy
    • NumPy basics
    • Reading Data
    • Creating arrays
    • Indexing and slicing
    • Large number sets
    • Transforming data

Upcoming training

No upcoming dates are listed yet. You can still enquire with flexible dates, and we’ll check options for your team.