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Python for Data Science and Visualization -Beginners to Pro

Complete Python data science course - beginner to expert in data analysis and visualization - Pandas, Numpy & MatPlotLib
4.5
4.5/5
(65 reviews)
204 students
Created by Analytics Leap

9.3

CourseMarks Score®

8.2

Freshness

9.9

Feedback

9.3

Content

Platform: Udemy
Price: $11.99
Video: 5h 10m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

9.3 / 10

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

Freshness Score

8.2 / 10
This course was last updated on 11/2019.

Course content can become outdated quite quickly.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

9.9 / 10
We analyzed factors such as the rating (4.5/5) 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

9.3 / 10
Video Score: 8.3 / 10
The course includes 5h 10m 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 7 hours 24 minutes of 1,300 Python courses on Udemy.
Detail Score: 9.7 / 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:

14 articles.
15 resources.
0 exercise.
0 test.

Table of contents

Description

Python for Data Analysis and Visualization
Why Should I learn Python?
The Python programming language is currently fuelling scientific programming, but this wasn’t always the case. For years academic scholars and private researchers were using the MATLAB language for scientific research. That all started to change with the release of Python numerical computation engines such as NumPy. allowing complex calculations to be done by a single “import” statement followed by a function call.
Slowly but surely, Python started to take over as the preferred language for data analytics and machine learning. Python is the future of Artificial Intelligence.
Given the flexibility of the language, its speed, and the machine learning functionality, we’ll continue to see Python dominate the machine learning landscape.

What is covered in this course?
This course is the complete guide to take you from a beginner in Python to an expert in data analysis and visualization.
1. Overview of Python
2. Installing and Starting Python
3. Writing your first Python program
4. Variables, Keywords and Data Types
5. Operators and Expressions
6. Built in Functions
7. List, dictionary, tuple and set data type
8. Flow control statements
9. File Input and Output (I/O)
10. Object oriented programming
11. Errors and Exception handling
12. Regular Expressions in Python (RegEx)
13. NumPy
14. Pandas
15. Matplotlib
16. NLP

Why learn from us?
•Save your time and your money with us by using the exact training courses that have been used to equip over 1000 beginners with Python skills that they can apply to their day-to-day jobs
•Leverage our real-world understanding and experience, with instruction from analytics experts who have built their careers applying statistics to real business problems on a day-to-day basis
•Develop your skills in Data Analytics & Data Science with our expanding range of high quality programs, that equip you with the real-world skills needed to succeed in the workplace of the future

Requirements

• Have a computer (either Mac, Windows, or Linux)Basic numerical ability
• Willingness to learn!

You will learn

✓ Become an expert on using Python to perform data analysis and visualization
✓ Learn the basics as well as popular packages like – Pandas, NumPy and Matplotlib
✓ Data mining using Regular Expression to derive meaningful information from the data
✓ Learn to use Pandas for Data Analysis
✓ Learn to use Matplotlib for Python Plotting
✓ Learn to use NumPy for Numerical Data

This course is for

• Beginners who want to learn Python from scratch
• Aspiring Data Scientists, Machine Learning Engineers, Business Analysts and Data Analysts

How much does the Python for Data Science and Visualization -Beginners to Pro course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.
The average price is $19.0 of 1,300 Python courses. So this course is 37% cheaper than the average Python course on Udemy.

Does the Python for Data Science and Visualization -Beginners to Pro course have a money back guarantee or refund policy?

YES, Python for Data Science and Visualization -Beginners to Pro 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 Visualization -Beginners to Pro course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Analytics Leap a SCAM or a TRUSTED instructor?

Analytics Leap has created 6 courses that got 1681 reviews which are generally positive. Analytics Leap has taught 17281 students and received a 4.1 average review out of 1681 reviews. Depending on the information available, Analytics Leap is a TRUSTED instructor.

More info about the instructor, Analytics Leap

Become an expert data analyst
Analytics Leap was founded with one goal in mind: to bring affordable analytics education tools to those that want to learn. Analytics Leap was founded by three analytics experts, together bringing over 30 years of experience in the field. The data analytics industry is set to explode in the next decade, but people have a hard time breaking into it. Traditional courses cost too much and are hard to follow causing beginners to forgo their dreams of becoming data-driven analysts.We aim to bring modern-day courses at affordable prices to the public so they too can dive into this valuable industry. Our students are placed in real-life scenarios and will be able to learn the skills necessary to become an asset to any modern business.

9.3

CourseMarks Score®

8.2

Freshness

9.9

Feedback

9.3

Content

Platform: Udemy
Price: $11.99
Video: 5h 10m
Language: English
Next start: On Demand

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