Business Statistics Course for Python Programmers
Data Science jobs using Python Data Stack (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn Machine Learning, SciPy, Statsmodels, Keras, Theano, TensorFlow, etc.) have increased considerably in the job market today. To do Data Science using Python Data Stack you’ll need to understand both Python programming language and Business Statistics.
Statistics (https://en.wikipedia.org/wiki/Statistics) is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as “all people living in a country” or “every atom composing a crystal”. Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.
Business Statistics (https://en.wikipedia.org/wiki/Business_statistics) is the science of good decision making in the face of uncertainty and is used in many disciplines such as financial analysis, econometrics, auditing, production and operations including services improvement, and marketing research.
15 IT Resource has prepared a unique high-level Business Statistics course using pure Python programming language. This course was designed specific for Python programmers to quick learn Business Statistics for company Data Science needs.
What do we do different?
- Corporate/in-person/hands-on training.
- Direct business data analysis for your company needs.
- Own and use the Ernest’s Python Data Science libraries which offer full proof programming recipes.
Information about this course is shown below.
Course Instructor: Ernest Bonat, Ph.D., Senior Software Engineer and Senior Data Scientist
Course Description: The course presents business statistics concepts and fundamental mathematical calculations to ensure that Python programmers can apply them for Data Science projects today. A unique Python Data Science libraries developed by Ernest with many of best proof programming recipes will be provided to the students.
Course Text Book: Basic Business Statistics: Concepts and Applications, 12th Edition. Mark L. Berenson, David M. Levine and Timothy C. Krehbiel, ISBN-13: 978-0132168380, ISBN-10: 0132168383. This text book is included in the course cost.
Course Duration: 12 weeks duration course (3 months), 6:00 – 9:00 pm.
- Organizing and Visualizing Data
- Numerical Descriptive Measures
- Basic Probability
- The Normal Distribution and Other Continuous Distributions
- Confidence Interval Estimation
- Fundamentals of Hypothesis Testing: One-Sample Tests
- Two-Sample Tests
- Analysis of Variance
- Chi-Square Tests and Nonparametric Tests
- Simple Linear Regression
- Introduction to Multiple Regression
- Time-Series Forecasting
Course Assignments: Programming assignments will be given every week. All the assignments must be done by the students to pass this course.
Course Certification: A course certificate document will be provided to student passing this course successfully.
Course Cost: $ 5,000.00 per students. Group cost available at 10% – 15% off.
Ernest Bonat, Ph.D. Short Bio
I was born and raised in Havana, Cuba. When I was 19 years old the Cuban Government sent me to study to Kiev, Ukraine for 9 years. I have finished the following degrees at National Technical University of Ukraine: BS, MS in Electrical Engineering and Ph.D. in Computer Sciences and Engineering. Came to Portland, OR USA on Aug/1996.
My educational certifications and degrees includes: Certified Online Instructor from Argosy University Online, Certified Online Instructor from Concordia University, Certified Online Instructor, University of Phoenix; Ph.D. Equivalent Certificate in Computer Sciences and Engineering from University of Phoenix, Ph.D. Equivalent Certificate in Computer Sciences and Engineering from University of Toronto, Ph.D. Equivalent Certificate in Computer Sciences and Engineering from Superior Polytechnic Institute of Havana, Ph.D. in Computer Sciences and Engineering, B.S. and M.S. in Electrical Engineering from National Technical University of Ukraine and Instructor of Russian Language.
From 2001, I have taught many Information Technologies and Business Statistics courses (onground and online) for University of Phoenix, Portland Community College and Mount Hood Community College, Oregon, USA. I have provided Microsoft enterprise application development training for companies like Hewlett-Packard, Medford School District, Doncasters Medical Technologies, Kroger-Fred Meyer and Manpower Inc. of Southern Nevada. Currently I teach online Python Programming Language for University of the People and Lead Instructor for Business Statistics courses at Concordia University – Portland.
My Scientific-Technical background includes: 5 Practical Methods of Teaching Laboratory and Researching, 5 User Manuals of Computer Interactive Programs, 44 Scientific-Technical Articles, 2 Technical Books, 17 Articles on Visual Basic Windows Programming and GUI Guides Design, 5 Articles on MySQL/VB.NET Windows Applications Programming, 17 Scientific-Technical Conferences and Seminars, 3 Tutored Ph.D. Thesis, 1 Tutored M.S. Thesis and 2 Tutored Microelectronic Thesis Specialists.
In the last four years I have been specialized in the following technologies: WCF SOAP and RESTful API Web Services using ASP.NET/C#, Web Services using Python Flask Microframework; Mobile applications development using Xamarin Platform and Visual Studio .NET for Android, iOS and Windows Phone devices; Data Analytics and Intelligence Report Generation using Python, Eclipse IDE, PyDev Plug-in, PyUnit with Python Data Stack (Pandas, NumPy, SciPy, Statsmodels, Keras, Theano, Matplotlib, scikit-learn Machine Learning, Seaborn, ReportLab, etc.).
I’m the organizer/presenter of the Hillsboro Python Machine Learning Meetup. This group was created for pure Machine Learning using Python Ecosystem for Data Science. I’m the designer and Instructor of the Python Data Science Bootcamp for PDX Code Guild.
I speak Spanish, Russian, Ukraine and English. I’m working for 15 IT Resources company as a consulting Senior Software Engineer and Senior Data Scientist now.