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

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
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.