Python for Beginners

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])!

This course will prepare you for the PCEP - Certified Entry-Level Python Programmer.

Course curriculum

1. Welcome
2. Course Structure
3. ScholarU Community
4. About You Survey
1. Introduction to Python
  FREE PREVIEW
2. Definitions
3. Installing Anaconda Explanation (Optional)
4. Installing Anaconda (Optional)
5. Installing Google Colaboratory
6. New, Opening and Uploading a Notebook
  FREE PREVIEW
7. Check: Rename a Notebook
  FREE PREVIEW
8. Navigating the Interface
  FREE PREVIEW
9. Edit Vs Command Mode
  FREE PREVIEW
10. Check: Edit Vs Command Mode
11. Course Content
12. Copying Course Content
13. Code Cell
14. Markdown Cell
15. Check: Markdown
16. Exercise: Getting Started with Python
17. Exercise: Getting Started with Python - Solution
1. First Code
2. Check: Print
3. Comments
4. Check: Comments
5. Variables
6. Check: Variables
7. Check: f-string
8. Check: Underscore Numbers
9. Variable Operations
10. Order of Operations
11. Check: Variable Operations
12. Compound Assignments
13. Check: Compound Assignment
14. Built-In Functions
15. Check: Built-In Functions
16. Check: Print Function
17. Current Variables
18. Exercise: Comments, Variables and Data Types
19. Exercise: Comments, Variables and Data Types - Solution 1 - Part 1
20. Exercise: Comments, Variables and Data Types - Solution 1 - Part 2
21. Exercise: Comments, Variables and Data Types - Solution 2
22. Exercise: Comments, Variables and Data Types - Solution 3 - Part 1
23. Exercise: Comments, Variables and Data Types - Solution 3 - Part 2
24. Exercise: Comments, Variables and Data Types - Solution 3 - Part 3
25. Exercise: Comments, Variables and Data Types - Solution 3 - Part 4
26. Exercise: Comments, Variables and Data Types - Solution 3 - Part 5
27. Exercise: Comments, Variables and Data Types - Solution 3 - Part 6
1. Boolean Operators and Membership Test
2. Check: Boolean Operators
3. Logic Gates
4. Check: Logic Gates
5. IF Statement
6. Conditional Logic
7. Check: Conditional Logic
8. Financial Example
9. Truth Value Testing
10. Check: Truth Value Testing
11. Exercise: Booleans and Conditional
12. Exercise: Booleans and Conditional - Solution 1
13. Exercise: Booleans and Conditional - Solution 2
14. Exercise: Booleans and Conditional - Solution 3
15. Exercise: Booleans and Conditional - Solution 4
16. Exercise: Booleans and Conditional - Solution 5
17. Exercise: Booleans and Conditional - Solution 6
18. Exercise: Booleans and Conditional - Solution 7
1. Lists
2. Modifying Lists
3. Check: Lists
4. Slicing
5. Check: Slicing
6. Range
7. Check: Range
8. Loops
9. For Loops
10. Check: For Loops
11. Financial Example
12. Exercise: Lists, Ranges and Loops
13. Exercise: Lists, Ranges and Loops - Solution 1
14. Exercise: Lists, Ranges and Loops - Solution 2
1. Nested Lists
2. Check: Nested List
3. IN and NOT IN Operations
4. Check: IN and NOT IN Operations
5. Concatenation
6. Check: Concatenation
7. List Functions
8. List Methods and Operations
9. Check: List Methods and Operations
10. Copying Lists
11. Check: Copying Lists
12. Exercise: Advanced Lists and Copying
13. Exercise: Advanced Lists and Copying - Solution 1
14. Exercise: Advanced Lists and Copying - Solution 2
15. Exercise: Advanced Lists and Copying - Solution 3
16. Exercise: Advanced Lists and Copying - Solution 4
1. While Loops
2. Check: While Loops
3. Check: Loop Else Statements
4. Break, Continue and Pass
5. Check: Break, Continue and Pass
6. Financial Example
7. Exercise: Advanced Loops
8. Exercise: Advanced Loops - Solution 1
9. Exercise: Advanced Loops - Solution 2
10. Exercise: Advanced Loops - Solution 3
1. Introduction to Functions
2. Function Parts
3. Defining a Function
4. Check: Defining a Function
5. Financial Example
6. Default, Keyword and Positional Arguments
7. Check: Default, Keyword and Positional Arguments
8. Return Values
9. Scope: Global and Local Variables
10. Check: Scope
11. Exercise: Functions
12. Exercise: Functions - Solution 1
13. Exercise: Functions - Solution 2
14. Exercise: Functions - Solution 3
15. Exercise: Functions - Solution 4
1. Modules and Packages
2. Options to Import Modules
3. Check: Modules and Packages
4. Exercise: Modules and Packages
5. Exercise: Modules and Packages - Solution
1. Indexing and Slicing
2. Check: Indexing and Slicing
3. IN and NOT IN Operations
4. Check: IN and NOT IN Operations
5. Concatenation and Repetition
6. Check: Concatenation and Repetition
7. Functions and Methods
8. Check: Functions and Methods
9. Join Method
10. IS Method
11. Replace Method
12. Exercise: Strings
13. Exercise: Strings - Solution
1. Introduction to Dictionaries
2. Dictionary Methods
3. Dictionary Examples
4. Check: Dictionaries
5. Nested Dictionaries
6. Check: Nested Dictionaries
7. Revisiting Functions
8. Default Dictionaries
9. Exercise: Dictionaries
10. Exercise: Dictionaries - Solution 1
11. Exercise: Dictionaries - Solution 2
1. Introduction to Sets
2. Set Methods
3. Check: Set Methods
4. Set Examples
5. Tuples
6. Check: Tuples
7. Exercise: Sets and Tuples
8. Exercise: Sets and Tuples - Solution
1. List Comprehension
2. Check: List Comprehension
3. Dictionary Comprehension
4. Set Comprehension
5. Exercise: Comprehension
6. Exercise: Comprehension - Solution 1
7. Exercise: Comprehension - Solution 2
8. Exercise: Comprehension - Solution 3
1. Syntax Errors
2. Exceptions
3. Check: Errors and Exceptions 1
4. Check: Errors and Exceptions 2
5. Handling Exceptions
6. Exercise: Errors and Exceptions
7. Exercise: Errors and Exceptions - Solution 1
1. Case Study 1
2. Case Study 1 - Solution
3. Case Study 2
4. Case Study 2 - Solution
5. Case Study 3
6. Case Study 3 - Solution
7. Case Study 4
8. Case Study 4 - Solution
9. Case Study 5
10. Case Study 5 - Solution
1. Final Note
2. End of Course Survey

About this course

$199.00
10-15 hrs

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