This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level.
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level.
It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.
NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. NYC Data Science Academy is licensed by New York State Education Department.
The Certified Financial Analytics Practitioner' (CFAP) course is a focused 32-hour instructor-led training and certification program that equips participants to explore+analyze+solve financial sector problems using popular analytics tools such as R & Advanced Excel.
The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.
Enroll for our 1-day Introduction to Power BI from Koenig Solutions. In this course you will learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
This is a beginner level course for a SAS professional. This course will help you to demonstrate the methods to read, process, combine, and access datasets or raw data files, create SAS datasets
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