Self-Paced LearningLearning Style
24 HoursCourse Duration
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About this course:
In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.
In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems. This course also helps the students in the preparation for the Microsoft 70-774: Perform Cloud Data Science with Azure Machine Learning certification exam.
The average salary for Data Analyst is $135,000 per year.
After completing this course, students will be able to:
- Explore analysis of time series and forecasting
- Take a look at spatial data analysis
- Learn about text analytics
- Review analysis of images
This course is intended for
- Anyone who is interested in Machine Learning
- Big Data Professionals
- There are no prerequisites for this course, just high school level mathematics would be beneficial.
Suggested prerequisites courses:
Self-Paced Learning Outline
- Before You Start
Module 1: Time Series and Forecasting
- Lesson 1: Introduction to Time Series
- Lesson 2: Working with Time Series
- Lesson 3: Forecasting in Context
- Lab: Time Series and Forecasting
Module 2: Spatial Data Analysis
- Lesson 1: Introduction to Spatial Data
- Lesson 2: Working with Spatial Data
- Lesson 3: Spatial Data in Context
- Lab: Spatial Data Analysis
Module 3: Text Analytics
- Lesson 1: Introduction to Text Analytics
- Lesson 2: Working with Text
- Lesson 3: Text Analytics in Context
- Lab: Text Analytics
Module 4: Image Analysis
- Lesson 1: Introduction to Image Analysis
- Lesson 2: Working with Images
- Lesson 3: Image Analysis In Context
- Lab: Image Analysis
Final Exam and Survey
- Final Exam
- Post-course Survey
Get Microsoft Course Completion Certificate
|Learning Style||Self-Paced Learning|
|Course Duration||24 Hours|
|VPA Discount||VPA Discount|
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