Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Python for Data Science and Data Analysis

Learn the Basics of Python, Numpy, Pandas, Matplotlib, Seaborn, Bokeh and Scikit-Learn
4.3
4.3/5
(127 reviews)
687 students
Created by

9.7

Classbaze Grade®

10.0

Freshness

8.7

Popularity

9.7

Material

Learn the Basics of Python
Platform: Udemy
Video: 16h 15m
Language: English
Next start: On Demand

Best Python classes:

Classbaze Rating

Classbaze Grade®

9.7 / 10

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

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly.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

8.7 / 10
We analyzed factors such as the rating (4.3/5) 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

9.7 / 10
Video Score: 10.0 / 10
The course includes 16h 15m 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 31 minutes of 1,582 Python courses on Udemy.
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: 9.5 / 10

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

This course contains:

14 articles.
0 resource.
0 exercise.
0 test.

In this page

About the course

A comprehensive course that will teach you how to use the power of Python to solve real-world data science and data analysis problems.
Welcome to Mastering Python for Data Science & Data Analysis!
This real-time actionable course is suitable for all skill levels. A programming or statistical background is not mandatory for you to be successful in this course. But you learn Python best by doing. That’s the reason you have a series of mini projects in this course.
This course will enable you to build a Data Science foundation, whether you have basic Python skills or not. The code-along and well planned-out exercises will make you comfortable with the Python syntax right from the outset. At the end of this short course, you’ll be proficient in the fundamentals of Python programming for Data Science and Data Analysis.
In this truly step-by-step course, every new tutorial video is built on what you have already learned. The aim is to move you one extra step forward at a time, and then, you are assigned a small task that is solved right at the beginning of the next video. That is, you start by understanding the theoretical part of a new concept first. Then, you master this concept by implementing everything practically using Python.
Become a Python developer and Data Scientist by enrolling in this course. Even if you are a novice in Python and data science, you will find this illustrative course informative, practical, and helpful. And if you aren’t new to Python and data science, you’ll still find the hands-on projects in this course immensely helpful.

What can you learn from this course?

✓ Learn how to start with Python 3
✓ Gain confidence in usual problem-solving techniques that you will encounter on a day to day basis as a programmer
✓ In-depth study of Variables and Operators in Python
✓ ​In-depth study of Functions and Modules in Python
✓ ​In-depth study of data structures (Lists, Tuples, Sets, and Dictionaries)
✓ ​Learn to use NumPy for Numerical Data Processing
✓ ​Learn to use Matplotlib, Seaborn and Bokeh for Data Visualization
✓ ​Learn to use Pandas for Data Manipulation and Data Analysis
✓ Learn to use SciKit-Learn for Machine Learning Tasks
✓ Learn to use Python for Data Science and Machine Learning
✓ Apply the concepts and models you learn in this course in the real world using COVID19 data

What you need to start the course?

• Absolutely no prior knowledge or experience needed. Only a passion to be successful!
• Admin permissions to download files

Who is this course is made for?

• This course is for you if you want to master writing code in Python for Data Science and Machine Learning
• This course is for you if you are looking for a simple and inexpensive Python course.
• This course is for you if you like doing as you learn
• This course is for you if you want to shorten your learning curve in programming.
• You’ll simply love this course as there’s plenty of excitement in the form of challenging homework.

Are there coupons or discounts for Python for Data Science and Data Analysis ? 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 $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Python for Data Science and Data Analysis course?

YES, Python for Data Science and Data Analysis 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 for Data Science and Data Analysis 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 AI Sciences?

AI Sciences has created 12 courses that got 1,562 reviews which are generally positive. AI Sciences has taught 35,759 students and received a 4.5 average review out of 1,562 reviews. Depending on the information available, we think that AI Sciences is an instructor that you can trust.
AI Experts & Data Scientists |4+ Rated | 160+ Countries
We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.
We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science.
Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.
Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.
Browse all courses by on Classbaze.

9.7

Classbaze Grade®

10.0

Freshness

8.7

Popularity

9.7

Material

Platform: Udemy
Video: 16h 15m
Language: English
Next start: On Demand

Classbaze recommendations for you