Data Science Tools
Data Science
| Beginner
- 13 videos | 47m 15s
- Includes Assessment
- Earns a Badge
Explore a variety of new data science tools available today; the different uses for these tools; and the benefits and challenges in deploying them in this 12-video course. First, examine a data science platform, the nucleus of technologies used to perform data science tasks. You will then explore the analysis process to inspect, clean, transform, and model data. Next, the course surveys integrating and exploring data, coding, and building models using that data, deploying the models to production, and delivering results through applications or by generating reports. You will see how a great data science platform should be flexible and scalable, and it should combine multiple features and capabilities that effectively centralize data science efforts. You will learn the six sequential steps of a typical data science workflow, from defining the objective for the project to reporting the results. Finally, explore DevOps, resources that allow developers and IT to work together in harmony which includes people, processes, and infrastructure; and its typical functionalities including integration, testing, packaging, as well as deployment.
WHAT YOU WILL LEARN
-
Describe what a data science platform is
Describe the challenges of deploying data science tools
Identify some considerations for data science tools
Identify and describe each step of a data science workflow
Describe different uses for data science analytic tools
Describe different uses for data science visualization tools -
Describe different uses for data science database tools
List the benefits of deploying cloud-based tools
List the challenges of deploying cloud-based tools
Describe what devops is and some of the common functionalities
Describe devops for data science
Identify different uses of data science tools
IN THIS COURSE
-
1m 26s
-
4m 10sAfter watching this video, you will be able to describe what a data science platform is. FREE ACCESS
-
3. Challenges of Deploying Data Science Tools3m 41sAfter completing this video, you will be able to describe the challenges of deploying data science tools. FREE ACCESS
-
4. Considerations for Data Science Tools4m 58sDuring this video, you will learn how to identify some considerations for data science tools. FREE ACCESS
-
5. Data Science Workflow5m 28sLearn how to identify and describe each step of a data science workflow. FREE ACCESS
-
6. Data Science Analytic Tools3m 21sUpon completion of this video, you will be able to describe different uses for data science analytic tools. FREE ACCESS
-
7. Data Science Visualization Tools2m 28sAfter completing this video, you will be able to describe different uses for data science visualization tools. FREE ACCESS
-
8. Data Science Database Tools2m 53sAfter completing this video, you will be able to describe different uses for data science database tools. FREE ACCESS
-
9. Benefits of Deploying Cloud-Based Tools3m 40sUpon completion of this video, you will be able to list the benefits of deploying cloud-based tools. FREE ACCESS
-
10. Challenges of Deploying Cloud-Based Tools3m 20sUpon completion of this video, you will be able to list the challenges of deploying cloud-based tools. FREE ACCESS
-
11. What is DevOps2m 21sAfter completing this video, you will be able to describe what DevOps is and some of the common features. FREE ACCESS
-
12. DevOps for Data Science3m 33sUpon completion of this video, you will be able to describe DevOps for data science. FREE ACCESS
-
13. Exercise: Identifying Uses of Data Science Tools5m 56sLearn how to identify different uses for data science tools. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
