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Python for Data Science and Machine Learning

A Practical Approach Learn by Implementing
4.1
4.1/5
(39 reviews)
14,836 students
Created by

9.1

CourseMarks Score®

9.9

Freshness

7.2

Feedback

9.5

Content

Platform: Udemy
Price: $11.99
Video: 7h 3m
Language: English
Next start: On Demand

Top Data Science courses:

Detailed Analysis

CourseMarks Score®

9.1 / 10

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

Freshness Score

9.9 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly.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

7.2 / 10
We analyzed factors such as the rating (4.1/5) 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

9.5 / 10
Video Score: 8.6 / 10
The course includes 7h 3m 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 6 hours 34 minutes of 287 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: 9.9 / 10

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

This course contains:

2 articles.
5 resources.
0 exercise.
0 test.

Table of contents

Description

This course is based on practical Approach towards Machine Learning and Data Science.
Starting from the basic python libraries and going to implement and perform more complex level predictions.
There is no prerequisite for this course but still you must go through the python basic documentation which you will get in this course material.
and you must have basic knowledge of python before starting with this course.
There will be some assignments based on data science which will include
•stock analysis
•text extraction
•working on different data sets
•applying different algorithms in an effective manner.
•more
Here we explore different methods , libraries . make predictions , verify results and more .
Learn how to use
•NumPy
•Pandas
•Seaborn
•Matplotlib
•Plotly
•Scikit-Learn
•Machine Learning
•more!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This will going to most effective and comprehensive course for data science aspirants
you will be able to think like a data wizard or data scientist.
you will get the dataset from the course material and also its available on web i will show you have to download that also.
you will also get some good understanding of
data cleaning
data preprocessing
data methodologies
applying tests
etc
updates
CODES ALL UP TO DATE

Who this course is for:
•Anyone interested in Machine Learning , Data Science.
•Students who have at least high school knowledge in math and who want to start learning Machine Learning.
•Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
•Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
•Any students in college who want to start a career in Data Science.
•Any data analysts who want to level up in Machine Learning.
•Any people who are not satisfied with their job and who want to become a Data Scientist.
•Any people who want to create added value to their business by using powerful Machine Learning tools.
•Students in the field of Data Science
•Any one who is willing to learn can join .

For Financial Support :
Indian’s can contribute at  upi id- [email protected]
and Foreigner’s / NRI’s  can contribute using PayPal
on below email id-
[email protected]
please contribute to support the efforts for developing new exclusive resources and contents like this
support so that will continue bringing more such courses to stay productive and updated with latest trends in Data Science and Machine Learning.
Also give your feedback and rating.
Thank you.
…………………………………………………………

You will learn

✓ Downloading and Installing the required Files for Data Science and Machine learning
✓ All about Numpy : array manipulation , slicing , transpose , and all functions of it etc..
✓ How to Use Python for Data Science and Machine Learning
✓ Learn to use Pandas for Data Analysis
✓ A-Z pandas
✓ Exploratory Data Analysis
✓ Problem Solving Skills based on Data Science and Ml problems.
✓ Statistics Required For Data Science and Machine Learning
✓ Stock Data Analysis
✓ Working with Different Datasets and Making Predictions
✓ Applying Decision tree classifier , Naive bayes and other Machine Learning Models to solve the problems
✓ Understanding Regression and Correlation
✓ Building Regression Model to deal with house price prediction
✓ Text Data Extraction from Image
✓ Kmeans and Hierarchical Clustering etc..

Requirements

• No prerequisites required anyone willing to learn can joinwillingness to learn

This course is for

• Python developers curious about Data Science
• Anyone interested in Machine Learning , Data Science.
• Students who have at least high school knowledge in math and who want to start learning Machine Learning.
• Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
• Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
• Any students in college who want to start a career in Data Science
• Any data analysts who want to level up in Machine Learning.
• Any people who are not satisfied with their job and who want to become a Data Scientist.
• Any people who want to create added value to their business by using powerful Machine Learning tools.
• Students in the field of Data Science
• Any one who is willing to learn can join .

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

The course costs $11.99. And currently there is a 40% discount on the original price of the course, which was $19.99. So you save $8 if you enroll the course now.
The average price is $14.9 of 287 Data Science courses. So this course is 20% cheaper than the average Data Science course on Udemy.

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

YES, Python for Data Science and Machine Learning 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 course, but there is a $8 discount from the original price ($19.99). So the current price is just $11.99.

Who is the instructor? Is Kumar Rajmani Bapat a SCAM or a TRUSTED instructor?

Kumar Rajmani Bapat has created 2 courses that got 39 reviews which are generally positive. Kumar Rajmani Bapat has taught 14,837 students and received a 4.1 average review out of 39 reviews. Depending on the information available, Kumar Rajmani Bapat is a TRUSTED instructor.
Google Certified Python Expert | Google Chrome Extension Dev
Hello World…..I am a self driven motivated individual with an ability to grow myself and others.My field of Specialization is Data Science and Machine Learning .I have hands on experience in Analyzing Data Making Predictions using Python and R .I also want to learn cloud to deploy my projects there.And if you like may contents and Exclusive Materials and Documentation you can provide your Rating and Feedback.And For Financial Support :Indian’s can contribute at  upi id- [email protected] and Foreigner’s / NRI’s  can contribute using PayPalon below email [email protected] contribute to support the efforts for developing new exclusive resources and contents like this support so that will continue bringing more such courses to stay productive and updated with latest trends in Data Science and Machine Learning. Also give your feedback and rating.Thank you.

9.1

CourseMarks Score®

9.9

Freshness

7.2

Feedback

9.5

Content

Platform: Udemy
Price: $11.99
Video: 7h 3m
Language: English
Next start: On Demand

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