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

    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

About this course

  • $199.00
  • 10-15 hrs

Discover your potential, starting today