Python for Data Science and Machine Learning Bootcamp
4.6 (8,549 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
59,287 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Python for Data Science and Machine Learning Bootcamp to your Wishlist.

Add to Wishlist

Python for Data Science and Machine Learning Bootcamp

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
4.6 (8,549 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
59,287 students enrolled
Created by Jose Portilla
Last updated 7/2017
English
English
Current price: $10 Original price: $195 Discount: 95% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 21.5 hours on-demand video
  • 10 Articles
  • 4 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines
View Curriculum
Requirements
  • Some programming experience
  • Admin permissions to download files
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!


Who is the target audience?
  • This course is meant for people with at least some programming experience
Students Who Viewed This Course Also Viewed
Curriculum For This Course
143 Lectures
21:31:41
+
Course Introduction
3 Lectures 07:15

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

Preview 00:36

Check out FAQs for the course!

Course FAQs
03:06
+
Environment Set-Up
1 Lecture 08:50

Get everything Set-up on your Computer!

Preview 08:50
+
Jupyter Overview
2 Lectures 23:39

Learn about the Jupyter Notebook System!

Jupyter Notebooks
13:48

Optional Lecture on Virtual Environments

Optional: Virtual Environments
09:51
+
Python Crash Course
8 Lectures 01:24:13

Just a quick introduction of the section from me personally!

Welcome to the Python Crash Course Section!
00:17

Get a quick Crash Course in Python!

Introduction to Python Crash Course
01:26

Get a quick Crash Course in Python!

Python Crash Course - Part 1
19:29

Get a quick Crash Course in Python!

Python Crash Course - Part 2
15:14

Get a quick Crash Course in Python!

Python Crash Course - Part 3
16:39

Get a quick Crash Course in Python!

Python Crash Course - Part 4
15:37

Get a quick Crash Course in Python!

Python Crash Course Exercises - Overview
03:35

Get a quick Crash Course in Python!

Python Crash Course Exercises - Solutions
11:56
+
Python for Data Analysis - NumPy
8 Lectures 01:03:43

Just a quick introduction of the section from me personally!

Welcome to the NumPy Section!
00:10

Part of the NumPy Section of the Course!

Introduction to Numpy
02:12

Part of the NumPy Section of the Course!

Numpy Arrays
16:49

Quick note on Numpy Array!

Quick Note on Array Indexing
00:48

Part of the NumPy Section of the Course!

Numpy Array Indexing
18:23

Part of the NumPy Section of the Course!

Numpy Operations
07:04

Part of the NumPy Section of the Course!

Numpy Exercises Overview
02:46

Part of the NumPy Section of the Course!

Numpy Exercises Solutions
15:31
+
Python for Data Analysis - Pandas
11 Lectures 01:42:36

Just a quick introduction of the section from me personally!

Welcome to the Pandas Section!
00:14

Part of the Pandas Section of the Course!

Introduction to Pandas
01:44

Part of the Pandas Section of the Course!

Series
10:39

Part of the Pandas Section of the Course!

DataFrames - Part 1
15:31

Part of the Pandas Section of the Course!

DataFrames - Part 2
17:10

Part of the Pandas Section of the Course!

DataFrames - Part 3
09:12

Part of the Pandas Section of the Course!

Missing Data
06:19

Part of the Pandas Section of the Course!

Groupby
06:48

Part of the Pandas Section of the Course!

Merging Joining and Concatenating
08:55

Part of the Pandas Section of the Course!

Operations
12:04

Part of the Pandas Section of the Course!

Data Input and Output
14:00
+
Python for Data Analysis - Pandas Exercises
5 Lectures 35:06

Challenge yourself with some Pandas Exercises!

SF Salaries Exercise Overview
01:55

Quick Note!


Note on SF Salary Exercise
00:23

Challenge yourself with some Pandas Exercises!

SF Salaries Solutions
15:25

Challenge yourself with some Pandas Exercises!

Ecommerce Purchases Exercise Overview
02:11

Challenge yourself with some Pandas Exercises!

Ecommerce Purchases Exercise Solutions
15:12
+
Python for Data Visualization - Matplotlib
7 Lectures 01:00:08

Just a quick introduction of the section from me personally!

Preview 00:22

Learn about Data Visualization with Matplotlib and Python!

Preview 03:02

Learn about Data Visualization with Matplotlib and Python!

Matplotlib Part 1
16:57

Learn about Data Visualization with Matplotlib and Python!

Matplotlib Part 2
15:51

Learn about Data Visualization with Matplotlib and Python!

Matplotlib Part 3
11:51

Learn about Data Visualization with Matplotlib and Python!

Matplotlib Exercises Overview
01:46

Learn about Data Visualization with Matplotlib and Python!

Matplotlib Exercises - Solutions
10:19
+
Python for Data Visualization - Seaborn
9 Lectures 01:21:54

Learn about Data Visualization with Seaborn and Python!

Introduction to Seaborn
02:58

Learn about Data Visualization with Seaborn and Python!

Preview 18:20

Learn about Data Visualization with Seaborn and Python!

Categorical Plots
17:17

Learn about Data Visualization with Seaborn and Python!

Matrix Plots
10:14

Learn about Data Visualization with Seaborn and Python!

Regression Plots
07:13

Learn about Data Visualization with Seaborn and Python!

Grids
08:30

Learn about Data Visualization with Seaborn and Python!

Style and Color
08:21

Learn about Data Visualization with Seaborn and Python!

Seaborn Exercise Overview
01:53

Learn about Data Visualization with Seaborn and Python!

Seaborn Exercise Solutions
07:08
+
Python for Data Visualization - Pandas Built-in Data Visualization
3 Lectures 23:44

Learn about Data Visualization with Pandas and Python!

Pandas Built-in Data Visualization
13:27

Learn about Data Visualization with Pandas and Python!

Pandas Data Visualization Exercise
01:22

Learn about Data Visualization with Pandas and Python!

Pandas Data Visualization Exercise- Solutions
08:55
17 More Sections
About the Instructor
Jose Portilla
4.5 Average rating
60,676 Reviews
288,047 Students
13 Courses
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 programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions.