Python A-Z™- Python For Data Science With Real Exercises!

Python A-Z&: Python For Data Science With Real Exercises!, available at $99.99, has an average rating of 4.6, with 86 lectures, 6 quizzes, based on 28744 reviews, and has 165388 subscribers.

You will learn about Learn to program in Python at a good level Learn how to code in Jupiter Notebooks Learn the core principles of programming Learn how to create variables Learn about integer, float, logical, string and other types in Python Learn how to create a while() loop and a for() loop in Python Learn how to install packages in Python Understand the Law of Large Numbers This course is ideal for individuals who are This course if for you if you want to learn how to program in Python or This course is for you if you are tired of Python courses that are too complicated or This course is for you if you want to learn Python by doing or This course is for you if you like exciting challenges or You WILL have homework in this course so you have to be prepared to work on it It is particularly useful for This course if for you if you want to learn how to program in Python or This course is for you if you are tired of Python courses that are too complicated or This course is for you if you want to learn Python by doing or This course is for you if you like exciting challenges or You WILL have homework in this course so you have to be prepared to work on it.

Enroll now: Python A-Z&: Python For Data Science With Real Exercises!

Summary

Title: Python A-Z&: Python For Data Science With Real Exercises!

Price: $99.99

Average Rating: 4.6

Number of Lectures: 86

Number of Quizzes: 6

Number of Published Lectures: 73

Number of Published Quizzes: 5

Number of Curriculum Items: 92

Number of Published Curriculum Objects: 78

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to program in Python at a good level

Learn how to code in Jupiter Notebooks

Learn the core principles of programming

Learn how to create variables

Learn about integer, float, logical, string and other types in Python

Learn how to create a while() loop and a for() loop in Python

Learn how to install packages in Python

Understand the Law of Large Numbers

Who Should Attend

This course if for you if you want to learn how to program in Python

This course is for you if you are tired of Python courses that are too complicated

This course is for you if you want to learn Python by doing

This course is for you if you like exciting challenges

You WILL have homework in this course so you have to be prepared to work on it

Target Audiences

This course if for you if you want to learn how to program in Python

This course is for you if you are tired of Python courses that are too complicated

This course is for you if you want to learn Python by doing

This course is for you if you like exciting challenges

You WILL have homework in this course so you have to be prepared to work on it

Learn Python Programming by doing!

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can’t wait to see you in class,

What you will learn: 

Learn the core principles of programming

Learn how to create variables

How to visualize data in Seaborn

How to create histograms, KDE plots, violin plots and style your charts to perfection

Learn about integer, float, logical, string and other types in Python

Learn how to create a while() loop and a for() loop in Python

And much more.

Sincerely,

Kirill Eremenko

Course Curriculum

Chapter 1: Welcome To The Course

Lecture 1: Welcome Challenge!

Lecture 2: Installing Python (Windows & MAC)

Lecture 3: Get the Datasets here

Lecture 4: Extra Resources

Chapter 2: Core Programming Principles

Lecture 1: Types of variables

Lecture 2: Using Variables

Lecture 3: Boolean Variables and Operators

Lecture 4: The While Loop

Lecture 5: The For Loop

Lecture 6: The If statement

Lecture 7: Code indentation in Python

Lecture 8: Section recap

Lecture 9: HOMEWORK: Law of Large Numbers

Chapter 3: Fundamentals Of Python

Lecture 1: What is a List?

Lecture 2: Lets create some lists

Lecture 3: Using the [] brackets

Lecture 4: Slicing

Lecture 5: Tuples in Python

Lecture 6: Functions in Python

Lecture 7: Packages in Python

Lecture 8: Numpy and Arrays in Python

Lecture 9: Slicing Arrays

Lecture 10: Section Recap

Lecture 11: HOMEWORK: Financial Statement Analysis

Chapter 4: Matrices

Lecture 1: Project Brief: Basketball Trends

Lecture 2: Matrices

Lecture 3: Building Your First Matrix

Lecture 4: Dictionaries in Python

Lecture 5: Matrix Operations

Lecture 6: Your first visualization

Lecture 7: Expanded Visualization

Lecture 8: Creating Your First Function

Lecture 9: Advanced Function Design

Lecture 10: Basketball Insights

Lecture 11: Section Recap

Lecture 12: HOMEWORK: Basketball free throws

Chapter 5: Data Frames

Lecture 1: Importing data into Python

Lecture 2: Exploring your dataset

Lecture 3: Renaming Columns of a Dataframe

Lecture 4: Subsetting dataframes in Pandas

Lecture 5: Basic operations with a Data Frame

Lecture 6: Filtering a Data Frame

Lecture 7: Using .at() and .iat() (advanced tutorial)

Lecture 8: Introduction to Seaborn

Lecture 9: Visualizing With Seaborn: Part 1

Lecture 10: Keyword Arguments in Python (advanced tutorial)

Lecture 11: Section Recap

Lecture 12: HOMEWORK: World Trends

Chapter 6: Advanced Visualization

Lecture 1: What is a Category data type?

Lecture 2: Working with JointPlots

Lecture 3: Histograms

Lecture 4: Stacked histograms in Python

Lecture 5: Creating a KDE Plot

Lecture 6: Working with Subplots()

Lecture 7: Violinplots vs Boxplots

Lecture 8: Creating a Facet Grid

Lecture 9: Coordinates and Diagonals

Lecture 10: EXTRA: Building Dashboards in Python

Lecture 11: EXTRA: Styling Tips

Lecture 12: EXTRA: Finishing Touches

Lecture 13: Section Recap

Lecture 14: HOMEWORK: Movie Domestic % Gross

Chapter 7: Homework Solutions

Lecture 1: Homework Solution Section 2: Law Of Large Numbers

Lecture 2: Homework Solution Section 3: Financial Statement Analysis (Part 1)

Lecture 3: Homework Solution Section 3: Financial Statement Analysis (Part 2)

Lecture 4: Homework Solution Section 4: Basketball Free Throws

Lecture 5: Homework Solution Section 5: World Trends (Part 1)

Lecture 6: Homework Solution Section 5: World Trends (Part 2)

Lecture 7: Homework Solution Section 6: Movie Domestic % Gross (Part 1)

Lecture 8: Homework Solution Section 6: Movie Domestic % Gross (Part 2)

Lecture 9: THANK YOU Video

Chapter 8: Congratulations!! Dont forget your Prize 馃檪

Lecture 1: Huge Congrats for completing the challenge!

Lecture 2: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Kirill Eremenko
DS & AI Instructor

SuperDataScience Team
Helping Data Scientists Succeed

Ligency Team
Helping Data Scientists Succeed

Rating Distribution

1 stars: 166 votes

2 stars: 282 votes

3 stars: 2047 votes

4 stars: 9851 votes

5 stars: 16397 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!