1 - Addressing Business Issues with Data Science
Topic A: Initiate a Data Science ProjectTopic B: Formulate a Data Science Problem
2 - Extracting, Transforming, and Loading Data
Topic A: Extract DataTopic B: Transform DataTopic C: Load Data
3 - Analyzing Data
Topic A: Examine DataTopic B: Explore the Underlying Distribution of DataTopic C: Use Visualizations to Analyze DataTopic D: Preprocess Data
4 - Designing a Machine Learning Approach
Topic A: Identify Machine Learning ConceptsTopic B: Test a Hypothesis
5 - Developing Classification Models
Topic A: Train and Tune Classification ModelsTopic B: Evaluate Classification Models
6 - Developing Regression Models
Topic A: Train and Tune Regression ModelsTopic B: Evaluate Regression Models
7 - Developing Clustering Models
Topic A: Train and Tune Clustering ModelsTopic B: Evaluate Clustering Models
8 - Finalizing a Data Science Project
Topic A: Communicate Results to StakeholdersTopic B: Demonstrate Models in a Web AppTopic C: Implement and Test Production Pipelines
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Who is it For?
This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.
To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course. You should also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended. You can obtain this level of skills and knowledge by taking the New Horizons course Using Data Science Tools in Python