Upcoming Events at Practical Programming Chicago
Mon Nov 18, 10:00 AM - Fri Nov 22, 5:00 PM
29 E Madison Street 16th Fl. 1620, Chicago, IL 60602
Community: Uptown Chicago
Description
Python for Data Science Immersive • 1 Week Python Bootcamp
Event Details
Data Science Immersive • Advance your career with Python
Five Session Comprehensive Course, Total in-Class Hours 35:
November 18th, 2019 10.00am-5.00pm
November 19th, 2019 10.00am-5.00pm
November 20th, 2019 10.00am-5.00pm
November 21st, 2019 10.00am-5.00pm
November 22nd, 2019 10.00am-5.00pm
READ SYLLABUS HERE https://programwithus.com/Python-Data-Science-Immersive-course-Chicago/
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 wr
Five Session Comprehensive Course, Total in-Class Hours 35:
November 18th, 2019 10.00am-5.00pm
November 19th, 2019 10.00am-5.00pm
November 20th, 2019 10.00am-5.00pm
November 21st, 2019 10.00am-5.00pm
November 22nd, 2019 10.00am-5.00pm
READ SYLLABUS HERE https://programwithus.com/Python-Data-Science-Immersive-course-Chicago/
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 wr
