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Python Data Analysis and Data Science Essentials.

Learn complete Pandas, Numpy, Random, Seaborn, SciPy, Matplotlib for Machine Learning and Data Science
3.9
3.9/5
(36 reviews)
917 students
Created by

8.3

CourseMarks Score®

9.4

Freshness

7.0

Feedback

7.8

Content

Platform: Udemy
Video: 4h 38m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.3 / 10

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

Freshness Score

9.4 / 10
This course was last updated on 6/2021.

Course content can become outdated quite quickly.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

7.0 / 10
We analyzed factors such as the rating (3.9/5) 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

7.8 / 10
Video Score: 8.3 / 10
The course includes 4h 38m 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.
Detail Score: 9.5 / 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.

Table of contents

Description

Hi?  Welcome to Python Data Science Essential Course for Data Analysis and Visualization. This course is Essential for Python Programming Intermediate students with adequate Knowledge about Python. The learning content for this course is for the Beginners in Data Science with a desire to further their knowledge by dive in into Data Science and Machine Learning, this is the right course for you. This course is easy to follow and learn new concept in  Data Analysis and Science.
In this course, we are going to cover, Data Structures and Binary Files followed by Pandas, Numpy, Random, Seaborn, SciPy and Matplotlib. With this course, you can start your journey in Data Science and Machine Learning. all what’s needed is your creativity and problem-solving skills. With this course you can add confidently, programming skills competence in your resume. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.
Do not miss out with technology, these days everyone is a Data collector so, take your time with this course and learn how to manipulate data after collection. In Addition, if you are an expert with full and enough knowledge about Data Science this course is not for you and if you are in advanced class already this course is not for you again. But if you are already a programmer and you wish to learn Python Programming Language while specifically focusing on Data Science, then this course is for you definitely.
PLEASE NOTE THAT: the course comes with UDEMY’S 30-DAY unconditional MONEY-BACK GUARANTEE. So what are you waiting for?
In this course, we will be using PyCharm and Anaconda (Jupyter Notebook) as our IDE.

You will learn

✓ Understand the fundamental of plotting
✓ Acquire adequate hands-on skills and confidence to use Python for Machine learning and Data Science
✓ Straight forward Programming Methodology
✓ Able to design well organized and problem-solving programs
✓ Use Statistical analysis to make predictions
✓ Working with different types of data
✓ Data Distributions

Requirements

• Creativity
• Computer with either Mac
• Os, Windows or Linux
• Py
• Charm or Anaconda (Jupyter Notebook)

This course is for

• Intermediate learners who wish to go further with Python Programming Language
• Beginner Python learners who are curious with Machine learning and Data Science

How much does the Python Data Analysis and Data Science Essentials. 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.

Does the Python Data Analysis and Data Science Essentials. course have a money back guarantee or refund policy?

YES, Python Data Analysis and Data Science Essentials. 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 Data Analysis and Data Science Essentials. 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 Fanuel Mapuwei a SCAM or a TRUSTED instructor?

Fanuel Mapuwei has created 4 courses that got 82 reviews which are generally positive. Fanuel Mapuwei has taught 2,326 students and received a 4.0 average review out of 82 reviews. Depending on the information available, Fanuel Mapuwei is a TRUSTED instructor.
Software Engineer and Web Developer
Hi, my name is Fanuel Mapuwei. I am a Computer Science Graduate at University of Zimbabwe. I am a professional software and website developer. I have decided to share my knowledge as a programming instructor.

I am very passionate about facilitating learning and i have 5 years experience in the educational sector.

8.3

CourseMarks Score®

9.4

Freshness

7.0

Feedback

7.8

Content

Platform: Udemy
Video: 4h 38m
Language: English
Next start: On Demand

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