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Beijing Digital Building

2 south street, Beijing, China, 100000

Zhongguancun South Street, Haidian District, Beijing, close to the North Third Ring Road, facing the Friendship Hotel. The location is in the Zhongguancun office building. It is a popular landmark office building with convenient transportation. There are many bus lines in front of the door to the major cities. The building is divided into two bases. Block A is the tallest commercial building in the west of the central axis. It adopts a pillarless large-open design and is suitable for large enterprises. The office space of Block B is flexible and suitable for small and medium-sized office enterprises. There are various restaurants, hotels, shopping malls, supermarkets, entertainment venues and other supporting facilities.

Subcategories (3)

Explore Our Courses

Design for Six Sigma (DFSS)

21 Hours

Six Sigma DMAIC Black Belt

21 Hours

R Markdown for Dynamic Documents and Reproducible Reporting

14 Hours

Six Sigma DMAIC Green Belt

21 Hours

Six Sigma LEAN Yellow Belt

14 Hours

Six Sigma LEAN Green Belt

21 Hours

Data Analytics with Tableau, Python, R, and SQL

35 Hours

Data Analysis with Python, R, Power Query, and Power BI

21 Hours

Six Sigma LEAN Black Belt

21 Hours

Six Sigma Yellow Belt

14 Hours

Shiny App Web Development with R

14 Hours

Six Sigma White Belt

14 Hours

Design of Experiments (DoE)

7 Hours

Econometrics: Eviews and Risk Simulator

21 Hours

Statistical Analysis with Stata and Integration with R

35 Hours

Data Analytics With R

21 Hours

Data and Analytics - from the ground up

42 Hours

Analysing Financial Data in Excel

14 Hours

Advanced R

14 Hours

Programming with Big Data in R

21 Hours

Introductory R (Basic to Intermediate)

14 Hours

Statistics and Probabilistic Programming in Julia

21 Hours

KNIME with Python and R for Machine Learning

14 Hours

Minitab for Statistical Data Analysis

14 Hours

Practical Six Sigma and BPM Process Improvement for Operations Teams

21 Hours

Statistics Level 1

14 Hours

Statistical Analysis with Stata and R

35 Hours

Data Science with Tableau and R Programming

14 Hours

Tableau Advanced

14 Hours

Building Web Applications in R with Shiny

7 Hours

Forecasting with R

14 Hours

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Upcoming Courses

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