Become a Python Data Analyst (Udemy.com)

Take your data analytics and predictive modeling skills to the next level using the popular tools and libraries in Pytho

( 49 Reviews )

Created by: Packt Publishing

Produced in 2017

What you will learn

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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 78 / 100

Course Description

The Python programming language has become a major player in the

world of Data Science and Analytics. This course introduces Pythons

most important tools and libraries for doing Data Science; they are

known in the community as Pythons 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

complicated

things. 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.
Who this course is for:
Data analysts or data scientists interested in learning Pythons 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 Pythons capabilities for analyzing data gain a lot from this course. A basic (beginners level) familiarity with Python language is assumed.

Time: 4.5h

Instructor Details

Packt Publishing

3.9 Rating
49 Reviews

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developersstay relevant in a rapidly changing world. From new webframeworks and programming languages, to cutting edge dataanalytics, and DevOps,Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

PacktUdemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.

Reviews

3.9

49 total reviews

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Write a Review

By Opeyemi Momodu on 11/24/2020

The program was well taught. I got more than the value for my money. I now have key insights into data analytics with python tools. I believe I'm ready to take up data analysis projects where I can apply the skills I've gained.

By Rahul Gurave on 11/9/2020

Explain few more useful methods and few more real example on Numpy and Pandas.That will be more helpful to learners.

By Peter Kuralt on 10/4/2020

Decent introductory course. Nevertheless it lacks some practical challenges, more in-depth explanation of certain topics. Good for those who want to grasp basics of the field but not for those with higher expectatios.

By Mirian Carrillo on 9/23/2020

I like the course. The owner explain clearly and don't use a lot of time, he go to the point.

By Sameer Girkar on 9/3/2020

The course is really nice. I felt it would have been really great if some more details on statistics is shared in the course rather than high level overview but overall the course is really nice and touches most of the important aspects.

By Rico Ngo on 9/1/2020

It was good to refresh my statistical skills and get introduced to Python. In general, a good introduction course. However, not all codes were working and you have to debug in the meanwhile. It is not super nice, but then again, you learn more from it.

By Leonid Kostin on 8/22/2020

It was a good course overall with a clear explanation. There were a couple of times I needed to find the dataset on my own, but still it's a good practice.

By Hugo Salas Avila on 8/4/2020

Needs to be more practical and not only read a document

By thulasiram Nagam on 7/27/2020

I really love to take part of this python journey

By Boby Singh on 7/16/2020

Yeah.! It was Great.

By Valentina Nappo on 6/15/2020

Mostly well explained but it is not interactive at all, there are no exercises or assessments. There are free courses that are equally well or even better designed.

By Abdul Wakeel Khan on 5/21/2020