Data SCIENCE IMMERSIVE • Advance your career with PYTHON
FIVE SESSION COMPREHENSIVE COURSE, TOTAL IN-CLASS HOURS 35:
June 1st, 2020 10.00am-5.00pm
June 2nd, 2020 10.00am-5.00pm
June 3rd, 2020 10.00am-5.00pm
June 4th, 2020 10.00am-5.00pm
June 5th, 2020 10.00am-5.00pm
READ SYLLABUS
HERE https://programwithus.com/Python-Data-Science-Immersive-course-NYC/
[https://programwithus.com/Python-Data-Science-Immersive-course-NYC/]
_WHAT THIS COURSE IS ABOUT:_
Our program serves as the foundation for many well-known concepts of
data science. We teach practical techniques and algorithms for
extracting and studying useful knowledge from data. This course is not
a theory class as we believe there are many ways to learn statistics
and analytics concepts on your own. We are providing students with a
set of practical tools for data science and knowledge on how to apply
Python to solve linear algebra, statistics, and probability problems.
This course is designed to fill the gap between theoretical academic
research and the needs of the industry. We will start with a crash
course on the basics of the Python programming language and then learn
how to use Python to turn raw data into insight and knowledge.
_WHAT TO EXPECT FROM THIS COURSE:_
Fundamental introduction to Data Science using Python programming
language, practical application of different statistical, analytical
and linear algebra models to a variety of data science projects, and
feeling comfortable enough to apply acquired knowledge on your own
seeking a junior data scientist position.
* DISCOVER BEST PRACTICES FOR DATA ANALYSIS AND START ON THE PATH TO
BECOMING A DATA SCIENTIST
* GET COMFORTABLE USING PYTHON TO BUILD STATISTICAL AND ANALYTICAL
MODELS
* LEARN AND PRACTICE ESSENTIAL TOOLS FOR DATA ANALYTICS: NUMPY,
PANDAS AND MATPLOTLIB
* LEARN TO FIND SOLUTIONS TO PROBLEMS BY ANALYZING DATA USING
APPROPRIATE TOOLS
* MASTER YOUR ANALYTICAL SKILLS BY WORKING ON REAL LIFE PROJECTS
* EXPLORE GRAPHICAL TECHNIQUES TO SEE WHAT YOUR DATA LOOKS LIKE
* IMPLEMENT THE CORE DATA SCIENCE TECHNIQUES OF LINEAR ALGEBRA,
PROBABILITY, GRADIENT DESCENT, AND LINEAR REGRESSION
* BUILD YOUR OWN ANALYTICAL TOOLS WITH PYTHON FROM SCRATCH
* BECOME FAMILIAR WITH INDUSTRY STANDARDS AND LEARN THE BEST
PRACTICES FOR WRITING CODE
* BY THE END OF THIS COURSE, YOU WILL HAVE A DATA ANALYTICS PROJECT
TO PRESENT TO POTENTIAL EMPLOYERS
_HOW THIS COURSE IS ORGANIZED:_
Lecture on new topics takes about 90 minutes and starts at 10.00am.
After lecture, students start working on new exercises with instructor
guidance. Around 3.00pm students present and discuss their work with
instructors, learn alternative solutions, and best practices from
instructors and invited data scientist professionals.
WHY PYTHON:
Many other programming solutions can be used for Data Science, however
we chose high-level programming language Python because it is easy to
learn if you are new to programming and it is in high demand.
DATA SCIENCE IMMERSIVE IS A REGISTERED TRADEMARK OF PRACTICAL
PROGRAMMING
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06/06/2020 Last update