This is an example page. It’s different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this:

Hi there! I’m a bike messenger by day, aspiring actor by night, and this is my website. I live in Los Angeles, have a great dog named Jack, and I like piña coladas. (And gettin’ caught in the rain.)

…or something like this:

The XYZ Doohickey Company was founded in 1971, and has been providing quality doohickeys to the public ever since. Located in Gotham City, XYZ employs over 2,000 people and does all kinds of awesome things for the Gotham community.

As a new WordPress user, you should go to your dashboard to delete this page and create new pages for your content. Have fun!

Jul
21
Sat
2018
Machine Learning for Beginners (in R!) @ City University of Hong Kong, Room LT18, City University of Hong Kong, Kowloon Tong
Jul 21 @ 10:00 am – 1:00 pm
Machine Learning for Beginners (in R!) @ City University of Hong Kong, Room LT18, City University of Hong Kong, Kowloon Tong

In this 3-hour intensive workshop, you will learn the basic of machine learning in R. This would be a taster session to walkthrough some of the basics of regression and classification and how to create models in R. The materials of this class would be based loosely on the classes done in 2017 https://github.com/hkrusers/hkrugml4b . Although we would not spend too much time on the basics, the workshop would be self-contained and R beginners are welcome. R beginners would receive an instruction how to setup the R environment and some materials to get you started in advance of the workshop.

In this session, Chris Choy (10+ years using R) would be teaching the workshop. He is a data scientist with experience in developing data mining solutions for clients in manufacturing, banking and retail industry. Prior to joining the business world in 2014, he earned his Dphil in Oxford with a research focus in high dimensional statistics.

Co-Organisers: Hong Kong R User Group, Open Source Hong Kong.

Venue Sponsor: CityU App Lab and City University of Hong Kong.

Jul
23
Mon
2018
Big Data Analytics with Excel and Power BI Workshop (Cantonese Speaker)
Jul 23 @ 7:00 pm – 10:00 pm


全民大數據行動正式開始!

隨著互聯網的急速發展與普及,網路上的數據每年將增長超過 50%,每兩年便將翻一番,而目前世界上90%以上的數據是最近 2 年才產生的,這就是我們當前所處的「大數據」時代!

「大數據」這個科技名詞在各種媒體上頻繁出現,毫無疑問已經成為當今科技界的熱點了。

其實業界提出的「大數據」概念,不僅告訴我們的是它的數量,更重要的是數據的分析利用,如何讓這樣海量的數據轉換為對企業更有價值的業務分析信息。

利用熟悉的 Excel 對數據進行分析

說到數據分析和商業智能,人們更多的會想到專業的數據平台和業界幾大軟體廠商,覺得這是專業人員的工作。

其實 Excel 就是一個強大的「自助式商業智能」解決方案工具,他可以更加輕鬆、簡單的完成數據的整合、分析和展示。

但只有數據分析並不足以快速了解公司發展,如果能夠配合圖表則事半功倍,Power BI 正正為此而生。

利用 Power BI 來分析資料及共用深入資訊

Power BI 儀表板可為商務使用者提供全方位的觀點,將所關注的重要計量全部集中在一處並即時更新,讓使用者隨時都能從其裝置存取這些資料。只要按一下,使用者就能透過操作簡便的工具探索儀表板中潛藏的資訊,迅速獲得所需要的答案。

Power BI 連接了超過 50 項以上的熱門商務應用程式,讓您很快就能上手使用。無論身在何處,都能透過 Power BI Mobile 應用程式存取您的資料及報表,而且應用程式還會隨著資料變更而自動更新。

您若是資料分析師,需要將報表與分析提供給您的組織,Power BI 能讓您的工作更有效率,資料內容更豐富。

FevaWorks 為香港微軟認可培訓方案合作伙伴

由2017年11月1 日起,學員出席及完成工作坊可申請出席證明書,有關申請費用及詳情可致電 3106 8211查詢。

Jul
26
Thu
2018
#SheMensBusiness Workshop |||: Growing Your Audience with Insights @ Facebook Hong Kong 66/F, One Island Est, 18 Westlands Road, Quarry Bay, Hong Kong
Jul 26 @ 7:00 pm – 10:00 pm
#SheMensBusiness Workshop |||: Growing Your Audience with Insights @ Facebook Hong Kong 66/F, One Island Est, 18 Westlands Road, Quarry Bay, Hong Kong

Official Page : https://shemeansbusiness.fb.com/zh/

In hope of providing women with the resources, knowledge and networks they need to succeed in business, Facebook and Jervois One Network joined hands to organize a series of workshops and forums on topics such as online marketing, facebook and instagram management, insights, mobile management of social network and content rules.

Guest Speaker

• Rebecca Leung, Regional Executive Director of KKDay

Programme Rundown

1830 – 1900 Mingling

1900 – 1910 Welcoming Speech

1910 – 2000 Facebook Module : Growing Young Audience withInsights – by Facebook instructor

2000 – 2010 Break

2010 – 2030 Guest Speaker Sharing: Rebecca Leung

2030 – 2050 Q&A

2050 – 2115 Mingling

Target Audience

• Startup people

• People interested in digital marketing