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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
4.6/5
(115,981 reviews)
547,689 students
Created by

9.2

CourseMarks Score®

7.6

Freshness

9.5

Feedback

9.8

Content

Platform: Udemy
Video: 24h 54m
Language: English
Next start: On Demand

Top Machine Learning courses:

Detailed Analysis

CourseMarks Score®

9.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

7.6 / 10
This course was last updated on 5/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.5 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.8 / 10
Video Score: 10.0 / 10
The course includes 24h 54m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 48 minutes of 749 Machine Learning courses on Udemy.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

13 articles.
5 resources.
0 exercise.
0 test.

Table of contents

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!

You will 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

Requirements

• Some programming experience
• Admin permissions to download files

This course is for

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

How much does the Python for Data Science and Machine Learning Bootcamp course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $13.6 of 749 Machine Learning courses. So this course is 10% more expensive than the average Machine Learning course on Udemy.

Does the Python for Data Science and Machine Learning Bootcamp course have a money back guarantee or refund policy?

YES, Python for Data Science and Machine Learning Bootcamp has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python for Data Science and Machine Learning Bootcamp course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Jose Portilla a SCAM or a TRUSTED instructor?

Jose Portilla has created 50 courses that got 905,198 reviews which are generally positive. Jose Portilla has taught 2,879,309 students and received a 4.6 average review out of 905,198 reviews. Depending on the information available, Jose Portilla is a TRUSTED instructor.
Head of Data Science at Pierian Training
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, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. 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, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training 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, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
Browse all courses by on Coursemarks.

9.2

CourseMarks Score®

7.6

Freshness

9.5

Feedback

9.8

Content

Platform: Udemy
Video: 24h 54m
Language: English
Next start: On Demand

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