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Python Course for Machine Learning & Data Science Beginners

python automation, numpy, pandas, matplotlib, seaborn, data science, python programming, python, python scripting
4.4
4.4/5
(339 reviews)
22,250 students
Created by

8.0

Classbaze Grade®

7.6

Freshness

7.9

Popularity

7.8

Material

numpy
Platform: Udemy
Video: 2h 51m
Language: English
Next start: On Demand

Best Data Science classes:

Classbaze Rating

Classbaze Grade®

8.0 / 10

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

Freshness

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Course content can become outdated quite quickly.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.

Popularity

7.9 / 10
We analyzed factors such as the rating (4.4/5) 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.

Material

7.8 / 10
Video Score: 8.0 / 10
The course includes 2h 51m 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 35 minutes of 540 Data Science courses on Udemy.
Detail Score: 10.0 / 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: 5.5 / 10

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

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

In this page

About the course

Lets learn the powerful libraries to transform your career.
22200+ students learning the course. I promise not to exhaust you with huge number of videos.
Welcome to the most comprehensive Python Course for Machine Learning & Data Science Beginners! An excellent choice for beginners and professionals looking to up skill themselves and take first step in the domain of Python, Data Science or Machine Learning. This course covers most popular as well as most powerful libraries used across the industry such as Numerical Python to deal with scientific multidimensional matrix operations efficiently, Pandas to easily program on top of tabular spreadsheet like datasets, Matplotlib to create easily digestible powerful visuals including Seaborn for creating statistical graphics and more! Course covers Case Study to help you understand how all the learning can be utilized in the real scenarios. Covered the Fundamentals of Programming such as Decision Controls, Loops, Operators, Data types, Collections and more! Including Exploratory Data Analysis and high level walk through of available Machine Learning tools. And more!

Why learn Python Course for Beginners?
You need to take the first step towards learning hot skills in the market. In order to sustain and earn more and more money in the job market, you need to keep upgrading yourself. This course offers you to learn the most powerful libraries user across the technology industry in the world. Learning these libraries is the creating base or first step towards hot and high paying jobs in the market such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.
Whether you’re a student or any professional willing to up-skill or learn or planning to transit yourself to python or data science or machine learning related roles. This course offers you an incredible libraries used across the industry and will strengthen your CV.

Student Reviews:
“teaching from basics and explaining everything clearly”
“This course was a good match for me. It goes straight to the point. So far, the user interface has been the same with the illustrations and there have been no complications.”
“Well explained.”
“Nice For Beginner.”
“This is one of the best course for learning basics of python for Machine Learning.Thanks to the instructor for explaining concepts in a clear understandable manner!”
“Totally amazing experience and good to know all information About python for data science”
“great experience, however it was quite tricky to understand jupyter for me.”
“This is a nice course to explore your learning in the changing dynamic environment.”
“quite basic and easy to understand, it was helpful to be lead through different libraries”
“A very useful and basic course about Python in Data Science. The contents were very clear and the Instructor as well.”

What can you learn from this course?

✓ Fundamentals of Programming – Decision Controls, Loops, Operators, Data types, Creating Identifiers and Operators etc.
✓ Collections – List, Set, Dictionaries, Tuples etc.
✓ Pandas DataFrame – Sorting, Filtering, Aggregations, Analyzing, Organizing, and more!
✓ Numerical Python (Numpy) – Matrix Operations, Multidimensional Arrays, and more!
✓ Matplotlib – Create easily digestible powerful visuals and more!
✓ Seaborn – creating statistical graphics etc.
✓ Case Study – You understand how all the learning can be utilized in the real scenarios.
✓ Machine Learning – High level tools walkthrough etc.
✓ Exploratory Data Analysis.
✓ Python environment installation etc.
✓ and more !

What you need to start the course?

• No programming knowledge required. I’ll teach you.
• You just need computer or mobile phone with internet connection to access course material.

Who is this course is made for?

• Students
• Professionals who want to take first step towards high paying roles such as Python Developer, Data Scientist, Machine Learning Scientist or Data Professional etc.
• Anyone who want to up-skill and learn most powerful libraries in the Python
• Managers
• Production Support Engineers
• Business Analysts
• Test Engineer
• Automation Engineer

Are there coupons or discounts for Python Course for Machine Learning & Data Science Beginners ? What is the current price?

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 $11.5 of 540 Data Science courses. So this course is 30% more expensive than the average Data Science course on Udemy.

Will I be refunded if I'm not satisfied with the Python Course for Machine Learning & Data Science Beginners course?

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

Are there any financial aid for this course?

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

Who will teach this course? Can I trust Pradeep D?

Pradeep D has created 3 courses that got 1,720 reviews which are generally positive. Pradeep D has taught 56,589 students and received a 4.2 average review out of 1,720 reviews. Depending on the information available, we think that Pradeep D is an instructor that you can trust.
Programmer, Data Engineer and Instructor
Hello, I’m Pradeep.
Extensively worked on unix platform to design and develop end to end framework for an enterprises to drive the data manipulation pipelines.
I am data professional proficient in Data Engineering techniques including Data Science, Machine learning and Deep Learning. Solved several business problems end to end. Total more than 8 years of experience.
All the best for your journey of learning further.
Browse all courses by on Classbaze.

8.0

Classbaze Grade®

7.6

Freshness

7.9

Popularity

7.8

Material

Platform: Udemy
Video: 2h 51m
Language: English
Next start: On Demand

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