About the Course
Welcome to Python for Beginners! This course will equip you with the essential skills to leverage Python effectively in coding technological solutions. In today's data-driven world, Python stands out as a key tool used across various domains, including Data Analytics and Data Science. Whether you're aspiring to enter the field of data analytics or looking to enhance your technical expertise, this course serves as an ideal starting point.
Throughout the program, you'll delve into diverse variable data types, including integers, strings, floats, Booleans, lists, dictionaries, sets, and tuples. You'll also master concepts such as conditionals, loops (for and while), functions, modules, and list comprehension, among others.
Moreover, the course offers practical exercises and case studies, enabling you to apply your newfound knowledge to real-world scenarios. By the course's conclusion, you'll be proficient in Python programming, ready to tackle complex challenges with confidence. Don't miss this opportunity to elevate your technical skills—join us today and embark on your Python journey!
Who should take this course?
This course caters to individuals aiming to kickstart a career in data analysis/data science (including pre-Master in Data Science students) and professionals seeking to elevate their expertise in this domain.
Course Duration:
The course is self-paced and it takes between 10-15 hours to complete including watching the videos, and working on the knowledge checks, exercises and case studies.
Course Support:
There is a community page where you can ask questions, share your ideas and knowledge, and connect with other students and the staff.
Prerequisites:
- Gmail account or install Anaconda
- Thirst for knowledge
*Courses can be conducted live online or in person upon request. For more information send an email ([email protected])!
Course curriculum
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Welcome
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Course Structure
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ScholarU Community
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About You Survey
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Introduction to Python
FREE PREVIEW -
Definitions
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Installing Anaconda Explanation (Optional)
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Installing Anaconda (Optional)
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Installing Google Colaboratory
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New, Opening and Uploading a Notebook
FREE PREVIEW -
Check: Rename a Notebook
FREE PREVIEW -
Navigating the Interface
FREE PREVIEW -
Edit Vs Command Mode
FREE PREVIEW -
Check: Edit Vs Command Mode
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Course Content
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Copying Course Content
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Code Cell
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Markdown Cell
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Check: Markdown
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Exercise: Getting Started with Python
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Exercise: Getting Started with Python - Solution
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First Code
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Check: Print
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Comments
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Check: Comments
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Variables
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Check: Variables
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Check: f-string
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Check: Underscore Numbers
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Variable Operations
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Order of Operations
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Check: Variable Operations
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Compound Assignments
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Check: Compound Assignment
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Built-In Functions
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Check: Built-In Functions
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Check: Print Function
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Current Variables
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Exercise: Comments, Variables and Data Types
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Exercise: Comments, Variables and Data Types - Solution 1 - Part 1
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Exercise: Comments, Variables and Data Types - Solution 1 - Part 2
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Exercise: Comments, Variables and Data Types - Solution 2
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Exercise: Comments, Variables and Data Types - Solution 3 - Part 1
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Exercise: Comments, Variables and Data Types - Solution 3 - Part 2
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Exercise: Comments, Variables and Data Types - Solution 3 - Part 3
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Exercise: Comments, Variables and Data Types - Solution 3 - Part 4
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Exercise: Comments, Variables and Data Types - Solution 3 - Part 5
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Exercise: Comments, Variables and Data Types - Solution 3 - Part 6
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Boolean Operators and Membership Test
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Check: Boolean Operators
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Logic Gates
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Check: Logic Gates
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IF Statement
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Conditional Logic
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Check: Conditional Logic
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Financial Example
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Truth Value Testing
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Check: Truth Value Testing
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Exercise: Booleans and Conditional
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Exercise: Booleans and Conditional - Solution 1
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Exercise: Booleans and Conditional - Solution 2
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Exercise: Booleans and Conditional - Solution 3
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Exercise: Booleans and Conditional - Solution 4
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Exercise: Booleans and Conditional - Solution 5
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Exercise: Booleans and Conditional - Solution 6
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Exercise: Booleans and Conditional - Solution 7
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Lists
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Modifying Lists
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Check: Lists
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Slicing
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Check: Slicing
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Range
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Check: Range
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Loops
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For Loops
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Check: For Loops
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Financial Example
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Exercise: Lists, Ranges and Loops
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Exercise: Lists, Ranges and Loops - Solution 1
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Exercise: Lists, Ranges and Loops - Solution 2
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Nested Lists
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Check: Nested List
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IN and NOT IN Operations
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Check: IN and NOT IN Operations
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Concatenation
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Check: Concatenation
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List Functions
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List Methods and Operations
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Check: List Methods and Operations
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Copying Lists
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Check: Copying Lists
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Exercise: Advanced Lists and Copying
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Exercise: Advanced Lists and Copying - Solution 1
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Exercise: Advanced Lists and Copying - Solution 2
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Exercise: Advanced Lists and Copying - Solution 3
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Exercise: Advanced Lists and Copying - Solution 4
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About this course
- $199.00
- 10-15 hrs