Microsoft Professional Program in Data Science
Price: 48,000 AMD
Date: On request
Category: Data Collection & Analytics
Accelerate your career in one of the hottest fields – data science. Learn data science fundamentals, key data science tools, and widely-used programming languages from industry and academic experts in this unique program created by Microsoft.
Built in collaboration with leading universities and employers, the Microsoft Professional Program Certificate in Data Science will develop the analytical and programming skills you need to take advantage of the 1.5 million career opportunities available now in data science.
You'll Learn To
- Use Microsoft Excel to explore data
- Use Transact-SQL to query a relational database
- Create data models and visualize data using Excel or Power BI
- Apply statistical methods to data
- Use R or Python to explore and transform data
- Follow a data science methodology
- Create and validate machine learning models with Azure Machine Learning
- Write R or Python code to build machine learning models
- Apply data science techniques to common scenarios
- Implement a machine learning solution for a given data problem
How It Works
Made up of three units and a final project, the Microsoft Professional Program Certificate in Data Science provides a comprehensive program of study in data science. Learners can choose from different courses within each unit of study. For example, in Unit 1 - Fundamentals you can choose between Analyzing and Visualizing Data with Excel or Analyzing and Visualizing Data with Power BI to satisfy the requirement.
Who is eligible:
Data Science Professional Program - Unit Overview
Unit 1 - Fundamentals
Learn data science basics. Explore topics like data queries, data analysis, data visualization and how statistics informs data science practices. Please choose from Course 3a or Course 3b to complete the unit.
Course 1: Introduction to Data Science
Course 2: Querying Data with Transact-SQL
Course 3a: Analyzing and Visualizing Data with Excel
Course 3b: Analyzing and Visualizing Data with Power BI
Course 4: Essential Statistics for Data Analysis using Excel
Unit 2 - Core Data Science
Learn essential programming languages to manipulate date and discover the fundamentals of machine learning. Please choose from Course 5a or Course 5b to complete the unit.
Course 5a: Introduction to R for Data Science
Course 5b: Introduction to Python for Data Science
Course 6: Data Science Essentials
Course 7: Principles of Machine Learning
Unit 3 - Applied Data Science
Dive deeper into data science programming languages and start leveraging data to develop intelligent solutions. Choose from Course 8a or Course 8b. Please continue with the programming language you selected in Unit 2. Select from one of Course 9a or 9b to complete the unit.
Course 8a: Programming with R for Data Science
Course 8b: Programming with Python for Data Science
Course 9a: Implementing Predictive Solutions with Spark in Azure HDInsight
Course 9b: Analyzing Big Data with Microsoft R
The Applied Machine Learning course is no longer part of the Data Science track. If you have enrolled in this course, successfully completed it and purchased the verified certificate by March 31, 2018, the coursework will count toward your Microsoft Professional Program Data Science Certificate.
If you have enrolled in the Data Science track at https://academy.microsoft.com/en-us/professional-program/ but have not enrolled or started a course for the Applied Data Science skill, please refer to and select one of the remaining courses to complete the unit.
Unit 4 - Capstone Project
Showcase your data science knowledge and skills, and solve a real-world data science problem in Microsoft Professional Capstone : Data Science. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.
9 courses + Final Project
16 - 32 hours per course
$99 per course / $990 for the entire program
ParticipationRegistration deadline: 10 April 2020
To participate in this training, you can Enroll now.
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