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Become a Python Data Analyst

Take your data analytics and predictive modeling skills to the next level using the popular tools and libraries in Pytho
4.2
4.2/5
(496 reviews)
4,001 students
Created by

7.3

Classbaze Grade®

4.0

Freshness

8.1

Popularity

9.1

Material

Take your data analytics and predictive modeling skills to the next level using the popular tools and libraries in Pytho
Platform: Udemy
Video: 4h 29m
Language: English
Next start: On Demand

Best Data Analysis classes:

Classbaze Rating

Classbaze Grade®

7.3 / 10

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

Freshness

4.0 / 10
This course was last updated on 6/2017.

Course content can become outdated quite quickly.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

8.1 / 10
We analyzed factors such as the rating (4.2/5) 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

9.1 / 10
Video Score: 8.2 / 10
The course includes 4h 29m 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 4 hours 49 minutes of 559 Data Analysis 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: 9.5 / 10

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

This course contains:

0 article.
1 resources.
0 exercise.
0 test.

In this page

About the course

The Python programming language has become a major player in the world of Data Science and Analytics. This course introduces Python’s most important tools and libraries for doing Data Science; they are known in the community as “Python’s Data Science Stack”.
This is a practical course where the viewer will learn through real-world examples how to use the most popular tools for doing Data Science and Analytics with Python.
About the author :
Alvaro Fuentes is a Data Scientist with an M.S. in Quantitative Economics and a M.S. in Applied Mathematics with more than 10 years of experience in analytical roles. He worked in the Central Bank of Guatemala as an Economic Analyst, building models for economic and financial data. He founded Quant Company to provide consulting and training services in Data Science topics and has been a consultant for many projects in fields such as; Business, Education, Psychology and Mass Media. He also has taught many (online and in-site) courses to students from around the world in topics like Data Science, Mathematics, Statistics, R programming and Python.
Alvaro Fuentes is a big Python fan and has been working with Python for about 4 years and uses it routinely for analyzing data and producing predictions. He also has used it in a couple of software projects. He is also a big R fan, and doesn’t like the controversy between what is the “best” R or Python, he uses them both. He is also very interested in the Spark approach to Big Data, and likes the way it simplifies complicatedthings. He is not a software engineer or a developer but is generally interested in web technologies.
He also has technical skills in R programming, Spark, SQL (PostgreSQL), MS Excel, machine learning, statistical analysis, econometrics, mathematical modeling.
Predictive Analytics is a topic in which he has both professional and teaching experience. Having solved practical problems in his consulting practice using the Python tools for predictive analytics and the topics of predictive analytics are part of a more general course on Data Science with Python that he teaches online.

What can you learn from this course?

✓ Learn about the most important libraries for doing Data Science with Python and how they can be easily installed with the Anaconda distribution.
✓ Understand the basics of Numpy which is the foundation of all the other analytical tools in Python.
✓ Produce informative, useful and beautiful visualizations for analyzing data.
✓ Analyze, answer questions and derive conclusions from real world data sets using the Pandas library.
✓ Perform common statistical calculations and use the results to reach conclusions about the data.
✓ Learn how to build predictive models and understand the principles of Predictive Analytics

What you need to start the course?

• This course introduces the viewer to the main libraries of Python’s Data Science stack. Taking an applied approach, it provides many examples using real-world datasets to show how to effectively use Python’s tools to process, visualize and analyze data. It contains all you need to start analyzing data with Python and provides the foundation for more advanced topics like Predictive Analytics.

Who is this course is made for?

• Data analysts or data scientists interested in learning Python’s tools for doing Data Science. Business Analysts and Business Intelligence experts who would like to learn how to use Python for doing their data own analysis tasks will also find this tutorial very helpful. Software engineers and developers interested in Python’s capabilities for analyzing data gain a lot from this course. A basic (beginner’s level) familiarity with Python language is assumed.

Are there coupons or discounts for Become a Python Data Analyst ? What is the current price?

The course costs $16.99. And currently there is a 82% discount on the original price of the course, which was $94.99. So you save $78 if you enroll the course now.
The average price is $8.1 of 559 Data Analysis courses. So this course is -110% cheaper than the average Data Analysis course on Udemy.

Will I be refunded if I'm not satisfied with the Become a Python Data Analyst course?

YES, Become a Python Data Analyst 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 Become a Python Data Analyst course, but there is a $78 discount from the original price ($94.99). So the current price is just $16.99.

Who will teach this course? Can I trust Packt Publishing?

Packt Publishing has created 1,262 courses that got 66,758 reviews which are generally positive. Packt Publishing has taught 394,723 students and received a 3.9 average review out of 66,758 reviews. Depending on the information available, we think that Packt Publishing is an instructor that you can trust.
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7.3

Classbaze Grade®

4.0

Freshness

8.1

Popularity

9.1

Material

Platform: Udemy
Video: 4h 29m
Language: English
Next start: On Demand

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