AWS Certified Machine Learning: Data Analysis Fundamentals
Amazon Web Services
| Intermediate
- 12 videos | 34m 2s
- Includes Assessment
- Earns a Badge
Data Analysis is a primary method for deriving valuable insight from raw and unstructured data. The appropriate application of data analysis techniques is vital in deriving only the relevant insight and factual knowledge from available data. Picking the correct data distribution or visualization technique can become critical to the overall data analysis results. Using this course, become familiar with the core foundations of data - the essential ground for any data analysis and machine learning operation. Examine the various types of data that exist, inherent data distributions, both traditional and modern methods of visualizing data, and how time series analysis works. When you've completed this course, you'll be able to describe the core concepts of data analysis and implement some valuable visualization and analysis techniques using Python. This course will prepare you for the AWS Certified Machine Learning - Specialty certification exam.
WHAT YOU WILL LEARN
-
Discover the key concepts covered in this courseDifferentiate between categorical and numerical data typesDefine bernoulli, uniform, and binomial data distributionsDefine normal, poisson, and exponential data distributionsDescribe the key role of visualization in communicating information from analyzed dataName and describe traditional graphic types used in data analysis
-
Name and describe modern graphic types used in data analysisWork with python toolkits to implement various types of data visualizationDescribe what's meant by time series analysis and define its role in data scienceRecognize what's meant by advanced time series analysis concepts, such as trends, seasonality, and autocorrelationWork with time series data in python, implementing data analysis pipelinesSummarize the key concepts covered in this course
IN THIS COURSE
-
1m 3s
-
2m 51sLearn how to differentiate between categorical and numerical data types. FREE ACCESS
-
2m 38sIn this video, you will learn how to define Bernoulli, uniform, and binomial data distributions. FREE ACCESS
-
3m 40sDuring this video, you will learn how to define normal, Poisson, and exponential data distributions. FREE ACCESS
-
2m 17sIn this video, discover how visualization can help communicate information from analyzed data. FREE ACCESS
-
2m 12sDiscover how to name and describe traditional types of graphics used in data analysis. FREE ACCESS
-
2m 14sIn this video, you will name and describe modern graphic types used in data analysis. FREE ACCESS
-
7m 33sAfter completing this video, you will be able to work with Python toolkits to implement various types of data visualization. FREE ACCESS
-
2m 25sIn this video, you will learn how to describe what is meant by time series analysis and its role in data science. FREE ACCESS
-
1m 52sUpon completion of this video, you will be able to recognize what is meant by advanced time series analysis concepts, such as trends, seasonality, and autocorrelation. FREE ACCESS
-
4m 25sDuring this video, you will learn how to work with time series data in Python by implementing data analysis pipelines. FREE ACCESS
-
53sIn this video, we will summarize the key concepts covered in this course. 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.