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Python Essentials for Data Scientists
source link: https://courses.dataschool.io/python-essentials-for-data-scientists?coupon=BLACKFRIDAY
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Python Essentials for Data Scientists
$49 $33
Learn the key Python features that will help you to be productive as a data scientist!
Buy now
Get up-to-speed with Python in a single day ☀️
As a data scientist, you'll spend a lot of time using Python libraries such as pandas, NumPy, and scikit-learn. However, these libraries assume that you already know the fundamentals of the Python programming language. And if you don't know those fundamentals, you're going to get stuck!
This course will get you up-to-speed quickly with Python's most important features so that you can work in data science libraries with ease and be more productive as a data scientist!
This course will get you up-to-speed quickly with Python's most important features so that you can work in data science libraries with ease and be more productive as a data scientist!
Who should take this course?
This is the perfect course for you if:
- You are new to Python, and you want to learn the most important features quickly
- You have some Python experience, but you want to fill in the gaps in your knowledge
By the end of this course, you'll be ready to learn pandas, scikit-learn, and other data science libraries!
I'm neither an aspiring programmer nor an aspiring data scientist; I'm an accountant. That said, I wanted to learn Python to make working with data easier, in a "work smarter not harder" way. Looking for an introduction to Python, I found Kevin's Python Essentials course.
Each lesson logically built onto the last lesson. The laddering of lessons was a great way to LEARN instead of memorize. Kevin takes the time to not only show a concept, but also explains the rationale. For someone like me looking to understand the WHY behind a method, Kevin's instructional style is GOLDEN!
The entire course could be completed in one day, but I completed it over 2 days, so I could learn, follow-along and take notes.
While I started from 0 in Python (I had a bit of SQL and HTML knowledge), I can't wait to dive a bit deeper and learn even more from Kevin. For anyone looking to grasp the introductory concepts of Python: buy Kevin's course, set aside a day and you'll learn Python in no time.
- Paula Small (Accountant)
Each lesson logically built onto the last lesson. The laddering of lessons was a great way to LEARN instead of memorize. Kevin takes the time to not only show a concept, but also explains the rationale. For someone like me looking to understand the WHY behind a method, Kevin's instructional style is GOLDEN!
The entire course could be completed in one day, but I completed it over 2 days, so I could learn, follow-along and take notes.
While I started from 0 in Python (I had a bit of SQL and HTML knowledge), I can't wait to dive a bit deeper and learn even more from Kevin. For anyone looking to grasp the introductory concepts of Python: buy Kevin's course, set aside a day and you'll learn Python in no time.
- Paula Small (Accountant)
What topics are covered in the course?
This course teaches you the fundamentals of the Python programming language so that you can be successful with Python's data science libraries:
- Numbers
- Strings
- Booleans
- Lists
- Tuples
- Dictionaries
- Slicing
- Comparisons
- Conditional Statements
- For Loops
- List Comprehensions
- Nested Data
- Defining Functions
- Naming Objects
- Writing Comments
- Importing Modules
- Getting Help
This is a must-take course for anyone who is looking to build a solid foundation in Python. I love how Kevin can explain complex things in a simple way.
- Tim
- Tim
What's included in the course?
- 27 bite-sized video lessons
- 9 sets of practical exercises
- 9 detailed solution walkthroughs
- 44 interactive quiz questions
- Jupyter notebook & Python script with well-commented course code
- Links to my recommended resources
- Certificate of completion at the end of the course
- Lifetime access to everything
This course is a very good intro to Python for novice users. It covers all the major topics in a brief and concise format. The exercises are well-designed.
Tim Reimer (CTO)
After taking this course, I'm confident enough to start my journey with Python for data science.
Srinivasu Nalla (DBA)
I recommend Kevin's courses to anyone who is new to data science. The way he presents is amazing.
Bhim Karki (Senior Data Consultant)
Kevin, you have again delivered on your superpower: clear and insightful explanations of the content that matters. For those new to Python, this course will propel you further up the learning curve quickly.
Paul Harnagel (Data Scientist)
This Python basics course is great! I am from Poland and my English is not very good, but the speed of the lessons was just right for me. Great job, Kevin.
Krystian Czech (Portfolio Manager)
This intro course is perfect for those who have little to no background with Python programming. At the same time, it's also useful as a review of the fundamental principles of the language for those who have more experience using Python.
Elliot Kleiman (Data Scientist)
I thoroughly enjoyed this course. Its structure, length, and topics were easy to follow and exceeded my expectations. It reinforced my existing Python knowledge while teaching me features I was unfamiliar with.
I highly recommend this course if you are looking for foundational material to get you started in your data science journey.
Joe Stuart (Analytics Manager)
This is a great introductory course to the essentials of Python. I recommend it.
Kevin has a great approach to teaching Python without making things too involved and getting straight to the point without inundating one with unnecessary information.
Eraj (Analyst)
Kevin is a great communicator and his style of explanation is very unique. All that he explained in this course was very clear to me.
The extra resources are fantastic as well, if you want to learn more about the topics covered in the course.
Azad Ibrahim (Data Analyst)
What do I need to know before the course?
What software do I need to install?
Which Python editor should I use?
Does the course teach Python 2 or 3?
Does the course teach specific data science libraries?
How long is the course?
What if I need help during the course?
How do I earn a certificate of completion?
How long will I have access to the course?
What courses should I take after this one?
Do you offer any discounts?
What's your refund policy?
I have another question...
What's included?
Video Icon 27 videosFile Icon 1 fileText Icon 15 text files
Contents
Introduction
Welcome to the course!
Install the Anaconda distribution
Choose a Python editor
Basic Data Types
Quiz: Basic Data Types
Lists
Comparisons & Conditional Statements
Quiz: Comparisons & Conditional Statements
Functions
Quiz: Functions
Exercise: Functions
Solution: Functions
Exercise: Functions & Conditional Statements
Naming Objects
Quiz: Naming Objects
Writing Comments
Quiz: Writing Comments
List Slicing
Quiz: List Slicing
Strings
Quiz: Strings
Exercise: Strings & Slicing
For Loops
Quiz: For Loops
Exercise: For Loops
List Comprehensions
Quiz: List Comprehensions
Exercise: List Comprehensions
Dictionaries
Lists vs. Dictionaries
Quiz: Dictionaries
Exercise: Dictionaries
Nested Data
Quiz: Nested Data
Exercise: Nested Data
Nested Data & Tuples
Quiz: Nested Data & Tuples
Exercise: Nested Data & Tuples
Imports
Conclusion
Recommended Python resources
Request your certificate of completion
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