Python for Data Science and Machine Learning Bootcamp

Become a Data Scientist with Python!
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  • Lectures 140
  • Length 21.5 hours
  • Skill Level All Levels
  • Languages English, captions
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 9/2016 English Closed captions available

Course Description

Are you ready to start your path to becoming a Data Scientist! 

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
  • and much, much more!

Enroll in the course and become a data scientist today!


What are the requirements?

  • Some programming experience
  • Admin permissions to download files

What am I going to get from this course?

  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms

Who is the target audience?

  • This course is meant for people with at least some programming experience

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Course Introduction
Introduction to the Course
Preview
03:33
00:36

Just a quick thank you and how to get help in the course!

03:06

Check out FAQs for the course!

Section 2: Environment Set-Up
08:50

Get everything Set-up on your Computer!

Section 3: Jupyter Overview
13:48

Learn about the Jupyter Notebook System!

09:51

Optional Lecture on Virtual Environments

Section 4: Python Crash Course
00:17

Just a quick introduction of the section from me personally!

01:26

Get a quick Crash Course in Python!

19:29

Get a quick Crash Course in Python!

15:14

Get a quick Crash Course in Python!

16:39

Get a quick Crash Course in Python!

15:37

Get a quick Crash Course in Python!

03:35

Get a quick Crash Course in Python!

11:56

Get a quick Crash Course in Python!

Section 5: Python for Data Analysis - NumPy
00:10

Just a quick introduction of the section from me personally!

02:12

Part of the NumPy Section of the Course!

16:49

Part of the NumPy Section of the Course!

00:48

Quick note on Numpy Array!

18:23

Part of the NumPy Section of the Course!

07:04

Part of the NumPy Section of the Course!

02:46

Part of the NumPy Section of the Course!

15:31

Part of the NumPy Section of the Course!

Section 6: Python for Data Analysis - Pandas
00:14

Just a quick introduction of the section from me personally!

01:44

Part of the Pandas Section of the Course!

10:39

Part of the Pandas Section of the Course!

15:31

Part of the Pandas Section of the Course!

17:10

Part of the Pandas Section of the Course!

09:12

Part of the Pandas Section of the Course!

06:19

Part of the Pandas Section of the Course!

06:48

Part of the Pandas Section of the Course!

08:55

Part of the Pandas Section of the Course!

12:04

Part of the Pandas Section of the Course!

14:00

Part of the Pandas Section of the Course!

Section 7: Python for Data Analysis - Pandas Exercises
01:55

Challenge yourself with some Pandas Exercises!

15:25

Challenge yourself with some Pandas Exercises!

02:11

Challenge yourself with some Pandas Exercises!

15:12

Challenge yourself with some Pandas Exercises!

Section 8: Python for Data Visualization - Matplotlib
00:22

Just a quick introduction of the section from me personally!

03:02

Learn about Data Visualization with Matplotlib and Python!

16:57

Learn about Data Visualization with Matplotlib and Python!

15:51

Learn about Data Visualization with Matplotlib and Python!

11:51

Learn about Data Visualization with Matplotlib and Python!

01:46

Learn about Data Visualization with Matplotlib and Python!

10:19

Learn about Data Visualization with Matplotlib and Python!

Section 9: Python for Data Visualization - Seaborn
02:58

Learn about Data Visualization with Seaborn and Python!

18:20

Learn about Data Visualization with Seaborn and Python!

17:17

Learn about Data Visualization with Seaborn and Python!

10:14

Learn about Data Visualization with Seaborn and Python!

07:13

Learn about Data Visualization with Seaborn and Python!

08:30

Learn about Data Visualization with Seaborn and Python!

08:21

Learn about Data Visualization with Seaborn and Python!

01:53

Learn about Data Visualization with Seaborn and Python!

07:08

Learn about Data Visualization with Seaborn and Python!

Section 10: Python for Data Visualization - Pandas Built-in Data Visualization
13:27

Learn about Data Visualization with Pandas and Python!

01:22

Learn about Data Visualization with Pandas and Python!

08:55

Learn about Data Visualization with Pandas and Python!

Section 11: Python for Data Visualization - Plotly and Cufflinks
03:22

Learn about Data Visualization with Plotly and Python!

18:38

Learn about Data Visualization with Plotly and Python!

Section 12: Python for Data Visualization - Geographical Plotting
00:58

Learn how to create Geographical Plots!

19:26

Learn how to create Geographical Plots!

06:53

Learn how to create Geographical Plots!

03:11

Learn how to create Geographical Plots!

10:01

Learn how to create Geographical Plots!

Section 13: Data Capstone Project
00:17

Just a quick introduction of the section from me personally!

02:07

Take everything you know and work on a Capstone Project!

14:29

Take everything you know and work on a Capstone Project!

17:37

Take everything you know and work on a Capstone Project!

03:06

Take everything you know and work on a Capstone Project!

16:13

Take everything you know and work on a Capstone Project!

18:11

Take everything you know and work on a Capstone Project!

06:23

Take everything you know and work on a Capstone Project!

Section 14: Introduction to Machine Learning
00:31

Just a quick introduction of the section from me personally!

00:16

Check out ISLR

10:50

Master Machine Learning with Python!

09:27

Master Machine Learning with Python!

Section 15: Linear Regression
04:33

Learn Linear Regression with Python!

00:27

Just a quick Note!

18:16

Learn Linear Regression with Python!

07:05

Learn Linear Regression with Python!

02:31

Learn Linear Regression with Python!

18:43

Learn Linear Regression with Python!

Section 16: Cross Validation and Bias-Variance Trade-Off
06:25

Learn about the Bias Variance Trade Off

Section 17: Logistic Regression
11:53

Learn Logistic Regression with Python!

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Instructor Biography

Jose Portilla, Data Scientist

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python training courses to a variety of companies all over the world, including top banks such as Credit Suisse. Feel free to contact him on LinkedIn for more information on in-person training sessions.

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