Microsoft Professional Program Certificate in Data Science

分享一下一個edX和Microsoft共同提供的 Certificate in Data Science
沒法發鏈接,大家自己Google吧。

這個課程内容主要對於新手。需要完成一下的課程,一門課大約29到99美元。全部一共五百塊美元。當然不想拿證也可以免費學習。
 
選修可以選擇R或者Python。
 
1.Data Science Orientation

Data Science Orientation

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Get started on your data science journey, as you learn what it takes to become a Data Scientist. Learn to work with and explore data using a variety of visualization, analytical, and statistical techniques.

2.Query Relational Data

Querying Data with Transact-SQL

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Explore Transact-SQL, an essential skill for database professionals and developers working with SQL databases. Go from your first SELECT statement through to implementing transactional programmatic logic. Focus on querying and modifying data in Microsoft SQL Server or Azure SQL Database.

3. Analyze and Visualize Data 2 TRAINING OPTIONS AVAILABLE

Option 1
Analyzing and Visualizing Data with Excel

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis.

Option 2
Analyzing and Visualizing Data with Power BI

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn how to connect and visualize your data with Microsoft Power BI. Find out how to import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Create dashboards and share with business users—on the web and on mobile devices.

4.Understand Statistics

Statistical Thinking for Data Science and Analytics

Delivered by Columbia

Course session: Now -through 10 March 2017(Enrollment open: Now -through 02 March 2017)

Learn how statistics plays a central role in the data science approach and how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions, and construct models for predicting future trends.

5. Explore Data with Code 2 TRAINING OPTIONS AVAILABLE

Option 1
Introduction to R for Data Science

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn the R statistical programming language, the tool of choice for data science professionals. Discover its basic syntax, starting with variables and basic operations, and then learn how to handle data structures, such as vectors, matrices, data frames, and lists.

Option 2
Introduction to Python for Data Science

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn the basics of Python, including simple arithmetic operations, variables, and data structures. Explore Python functions and control flow, and create your own visualizations based on real data.

6.Understand Core Data Science Concepts

Data Science Essentials

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn key concepts and techniques used to perform data science; including statistical analysis, data cleansing and transformation, and data visualization with R, Python, and Microsoft Azure Machine Learning.

7.Understand Machine Learning

Principles of Machine Learning

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn how to build, evaluate, and optimize machine learning models; including classification, regression, clustering, and recommendation.

8.Use Code to Manipulate and Model Data 2 TRAINING OPTIONS AVAILABLE

Option 1
Programming with R for Data Science

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs.

Option 2
Programming with Python for Data Science

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn to use Python to apply efficient, well-known mining models to unearth useful intelligence. Explore data visualization, feature importance and selection, dimensionality reduction, clustering, classification, and more.

9. Develop Intelligent Solutions 3 TRAINING OPTIONS AVAILABLE

Option 1
Applied Machine Learning

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn how to apply machine learning to solve common predictive problems, including text analytics, spatial data analysis, image processing, and time series forecasting.

Option 2
Implementing Predictive Solutions with Spark in HDInsight

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Find out how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python, Scala, and R with Apache Spark.

Option 3
Developing Intelligent Applications

Delivered by Microsoft

Course session: Now -through 31 March 2017(Enrollment open: Now -through 24 March 2017)

Course session: 01 April 2017 -through 30 June 2017(Enrollment open: 24 March 2017 -through 23 June 2017)

Learn how to develop smart applications that use machine learning to engage intelligently with users in imaginative ways.

10.Final Project

Data Science Challenge

Delivered by Microsoft

Course session: Now -through 28 January 2017(Enrollment open: Now -through 14 January 2017)

Course session: 15 March 2017 -through 28 April 2017(Enrollment open: 08 March 2017 -through 14 April 2017)

Put everything you've learned into practice by participating in a data science challenge and competing with your fellow students. Take on a challenge on the Cortana Intelligence platform, where you develop and deploy a solution that is tested and scored to determine your grade.

FINALLY - Microsoft Professional Program Certificate in Data Science

還有一個選擇就是Coursera。論壇裏有了。
友情鏈接
Coursera's John Hopkin University 10-Course Data Science Specialisation - www.itbang.com.au/?/article/8
已邀请:

路达 - David XU | IBM | PM | Melbourne

赞同来自: SimonLiu

谢谢分享!

要回复问题请先登录注册