Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: STAT-0011 Organization's ID: #556 Organization: Statistics.com Location: Online Length: 8 weeks (120 hours) Dates Offered: 10/1/2024 - 9/30/2027 6/1/2021 - 9/30/2024 3/1/2018 - 5/31/2021 11/1/2014 - 2/28/2018 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Upper-Division Baccalaureate 3 introduction to python for analytics Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to introduce basic Python skills and data structures, how to load data from different sources, rearrange and aggregate it, and finally how to analyze and visualize it to create high-quality products. Learning Outcomes: construct conditional statements and loops Work with strings, lists and dictionaries (in addition to variables) Read and write data Use Pandas for data analysis Group, aggregate, merge and join Handle time series and data frames Use matplotlib for visualization create, format, and output figures install Python and understand the basics of the Python language, and the steps and tools for reading text file Use visualization using Matplotlib and Pyplot Make charts, graphs, figures, and subplots to visualize data General Topics: Getting Started With Python Data Handling and Strings Python and Pandas Visualization Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Classroom Exercise Coaching/Mentoring Computer Based Training Discussion Practical Exercises Project-based Instruction Methods of Assessment: Other Quizzes Project Minimum Passing Score: 80% Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Other offerings from Statistics.com Biostatistics for Credit (STAT-0002) Calculus Review (STAT-0038) Categorical Data Analysis (STAT-0006) Customer Analytics in R (STAT-0031) Customer Analytics in R with Capstone (STAT-0053) Forecasting Analytics (STAT-0021) Forecasting Analytics with Capstone (STAT-0051) Integer & Nonlinear Programming and Network Flow (STAT-0019) Integer & Nonlinear Programming and Network Flow with Capstone (STAT-0050) Interactive Data Visualization (STAT-0028) View All Courses Page Content