Detailed Course Information |
May 08, 2024
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| CDAV 101 - Data analysis & Visualization |
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Course Description: (Stand-Alone Course) Data analysis is the process of extracting information from data. It involves multiple stages including establishing a data set, preparing the data for processing, applying models, identifying key findings and creating reports. The goal of data analysis is to find actionable insights that can inform decision making. This course teaches you essential statistical knowledge and how to apply it to different business questions. After completing this course, you will be able to analyze your data quickly and visualize your results using SPSS and Python. You don’t need any prior knowledge to enroll in this course. You will learn how to use Python to analyze and visualize your data using different libraries. You’ll explore the four crucial steps for any data analysis project: reading, describing, cleaning, and visualizing data. In each step, you will work with the most common and popular tools that data analysts use every day. By the end of the course, you will be able to confidently extract knowledge and answers from data.. Part of the:Stand Alone Course-Data Analysis and Visualization Learning Outcomes: By the end of this course, learners will be able to: 1. Utilize statistical tools for working with data sets. 2. Practice SPSS data entry, editing and organizing datasets and carrying out inferential statistical analysis. 3. Use Python to solve tasks. 4. Practice using NumPy for data analysis 5. Manage pandas in data analysis context. 6. Manage data import and cleaning for different types of data. 7. Practice using different data visualization libraries and extracting insights from them. 8. Analyze machine learning algorithms for working with datasets. Admission Requirements for the above certificate(s): 1. Applicants must pass the Standardized English Proficiency Test (SEPT/OEPT) and score level ENGG B1A. Term duration: 6 Weeks Schedule: 2 Sessions/week - 2.5 Hrs/Session Assessments and Attendance: Learners are assessed throughout the term by case studies, quizzes, assignments, activities, discussions, reflection essays, projects, or other means of evaluation. End-of-term achievement tests measure learners’ overall performance in the course. The final grade in each course is based on learners’ performance on continual assessment measures and the final project or test. All assessments must be submitted as per the scheduled deadline announced in each course. 3.000 Continuing Education Units 3.000 Lecture hours Levels: Continuing Education Schedule Types: Lecture SCE Career Development Department Restrictions: Must be enrolled in one of the following Programs: Data Analysis & Visualization Must be enrolled in one of the following Departments: SCE Career Development Prerequisites: SCE Standrdzd Engl Prof.Test 052 or SCE Day Stand Engl Prof. Test 052 or SCE Test-Online Eng.Placement 5 or Continuing Education level ENGG A2D Minimum Grade of D |
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