Course Overview
Additional information
| Length | 5.0 days (40.0 hours) |
|---|---|
| Level | Experienced |
| Prerequisites | To ensure your success in this course, you should be familiar with the concepts that are foundational to data science, including: The overall data science and machine learning process from end to end: formulating the problem; collecting and preparing data; analyzing data; engineering and preprocessing data; training, tuning, and evaluating a model; and finalizing a model. Statistical concepts such as sampling, hypothesis testing, probability distribution, randomness, etc. Summary statistics such as mean, median, mode, interquartile range (IQR), standard deviation, skewness, etc. Graphs, plots, charts, and other methods of visual data analysis. You can obtain this level of skills and knowledge by taking the CertNexus course Certified Data Science Practitioner (CDSP) (Exam DSP-110). You must also be comfortable writing code in the Python programming language, including the use of fundamental Python data science libraries like NumPy and pandas. The course: Using Data Science Tools in Python® teaches these skills. |
| Audience | The skills covered in this course converge on four areas?software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification |
Class Dates & Times