Python Crash course
Instructor: Engr Safdar Munir
5.0
Course Duration:40 Hours
Course level:Beginner
What I will learn?
- Fundamentals of Python programming including variable creation, data types, and basic calculations
- Lists in Python, including creating lists, subsetting, slicing, and manipulating list elements
- NumPy arrays, a fundamental tool for data science, and perform basic statistical operations
- Data visualization techniques using Matplotlib to create insightful plots and customize them for better interpretation
About Course
Course Curriculum
An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python’s basic data types.
– Hello Python!
– When to use Python?
– The Python Interface
– Any comments
– Python as a calculator
– Variables and Types
– Variable Assignment
– Calculations with variables
– Other variable types
– Guess the type
– Operations with other types
– Type conversion
– Can Python handle everything?
– Create a list
– Create list with different types
– Select the valid list
– List of lists
– Subsetting Lists
– Subset and conquer
– Subset and calculate
– Slicing and dicing
– Slicing and dicing (2)
– Subsetting lists of lists
– Manipulating Lists
– Replace list elements
– Extend a list
– Delete list elements
– Inner workings of lists
– Functions
– Familiar functions
– Help!
– Multiple arguments
– Methods
– String Methods
– List Methods
– Packages
– Import package
– Selective import
– Different ways of importing
– NumPy
– Your First NumPy Array
– Baseball players’ height
– Baseball player’s BMI
– Lightweight baseball players
– NumPy Side Effects
– Subsetting NumPy Arrays
– 2D NumPy Arrays
– Your First 2D NumPy Array
– Baseball data in 2D form
– Subsetting 2D NumPy Arrays
– 2D Arithmetic
– NumPy: Basic Statistics
– Average versus median
– Explore the baseball data
– Blend it all together
– Basic plots with Matplotlib
– Line plot
– Scatter Plot
– Histogram
– Choose the right plot
– Customization
– Labels
– Ticks
– Sizes
– Colors
– Additional Customizations
– Interpretation
– Dictionaries
– Motivation for dictionaries
– Create dictionary
– Access dictionary
– Dictionary Manipulation
– Dictionariception
– Pandas
– Dictionary to DataFrame
– CSV to DataFrame
– Square Brackets loc and iloc
– Random Numbers
– Random float
– Roll the dice
– Determine your next move
– Random Walk
– The next step
– How low can you go?
– Visualize the walk
– Distribution
– Simulate multiple walks
– Visualize all walks
– Implement clumsiness
– Plot the distribution
– Calculate the odds
Requirements
- No Prior Excel Knowledge Required
- PowerPoint 2010 / 2013 / 2016 / 2019 / 2021 (or Office 365)
- PowerPoint 2011 MAC (has a few functions less than the Windows version), 2016, 2019, 2021 for MAC (those are better equipped)
- Determination to improve your skills and learn easy-to-follow design practices
Material Includes
- 18+ Hours of Step by Step Video Lectures by a Microsoft Certified Trainer (MCT)
- Downloadable Exercise Files to follow along and practice with
- Section Quizzes to Test Your Knowledge on the Lecture Topics
- QA board where you can post questions, screenshots of your progress
