Description
What you’ll learn
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You’ll be able to understand Programming Concepts Thoroughly
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You’ll be able to write Python code with confidence and read others’ code
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You’ll learn about different types of IDEs and pick the one you like
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You’ll be able to work on Jupyter notebooks with confidence
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You will learn different type of IDE’s ( Replit – Google Colab – Jupyter notebooks)
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You will learn Jupyter note books in details
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You will learn why Python is the perfect choice for Data Science
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You will learn the fundamentals of programming in details
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You will learn about different types of data in python
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You will learn how to create variables and use them
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You will learn how to create custom functions in Python
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You will learn Loops in details
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You will learn IF Statements in details
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You will learn about different data structures in python in details
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You will learn about String in Python
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You will Learn the Basics of Data Science
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You will Learn Who is a Data Scientist
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You will Learn Type of Questions that a Data Science Can Answer
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You will Learn The Applications of Data Science in Real Life
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You will Learn The Skills Needed to become a Data scientist
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You will Learn The Difference between Data Scientist – Data Engineer – Data Analyst – Machine Learning Engineer
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Do you want to learn Python for Data Science?
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Want to learn Python from scratch with detailed explanations?
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You want to learn Python, but you’ve never learned any programming language and don’t know where to start.
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learned Python from other sources but forgot because there weren’t enough exercises or projects.
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Want to learn Python so you can start learning Data Science after that?
If you answered YES to any of these questions, then you are in the right place.
This Learn Python for Data Science course is designed to help you learn the basics of writing Python code for data science and understand the underlying concepts of Programming in general. You’ll learn the fundamentals of programming and data analysis in Python, as well as how to apply the skills you learn to real-world data science scenarios. We’ll cover topics such as variables and data types, loops, functions, and libraries related to Data Science, This course offers exercises after each concept is explained so you can really understand each concept.
By the end of the course:
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You’ll be able to understand Programming concepts thoroughly.
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You’ll be able to write Python code with confidence and read others’ code.
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You’ll be able to read datasets and analyze them.
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You’ll learn about different types of IDEs and pick the one you like.
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You’ll be able to work on Jupyter notebooks.
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You’ll learn different types of libraries used in Python for Data Science
Who this course is for:
- Anyone who wants to learn Python
- Anyone who wants to master the fundamentals of Programming in general
- A Complete Beginner who wants to learn Python from scratch
- Anyone who wants to learn Python for Data Science and Data Analysis and Machine Learning
- If you want to learn Data Science and want to learn Python
Course content
- Introduction2 lectures • 5min
- Introduction
- Getting ready for the course7 lectures • 27min
- Getting ready for the course
- Jupyter Notebook Crash Course19 lectures • 58min
- Jupyter Notebook Crash Course
- Basics of Programming49 lectures • 3hr 39min
- Basics of Programming
- Basics of Python Programming22 lectures • 1hr 7min
- Basics of Python Programming
- Lists in Depth5 lectures • 13min
- Lists in Depth
- Learn Basics of Data Science18 lectures • 1hr 47min
- Learn Basics of Data Science
- BONUS SECTION1 lecture • 1min
- BONUS SECTION
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