Overview
Data, the ‘fuel’ of the digital era, is one of the core assets in every organisation. Leading-edge companies in all industries are using analytics to help them make more accurate decisions. Managers collect and analyse these enormous data sets to identify past trends, unveil new patterns and get insights to make sense of Big Data.
This 2-day workshop is suitable for professionals who have an intermediate understanding to Data Analytics. The workshop will equip participants with the knowledge of text analytics in business, give an overview of machine learning techniques and allow them to experience hands-on practice on predictive analytics using popular machine learning tools.
What You’ll Learn
Overview of Data Analytics- To acquire a general understanding and overview of data analytics knowledge in
business
Analytics Mindset- To apply analytics mindset to maximise the value from data analytics.
Data Literacy- To handle and manipulate multiple data sets, data preparation and cleansing.
Data Visualisation: Analysis to Insight- To grasp the concept of appropriate visual representation and to distinguish between
effective and ineffective visuals.
Who Should Attend
Business Professionals who are interested in data analytics
Professionals who wish to leverage on data analytics tools to champion data-driven decision making in their organisation
SITizens Learning Credits (SLC) - Eligible Course
SIT Alumni: Before registering for courses, please activate your
SITizens Learning Credits via the email sent by SIT Alumni Team, on behalf of SITLEARN Professional Development.
CLICK HERE TO APPLY (only for SIT Alumni)
Registration closes on 02/08/19
Certificate and Assessment
A Certificate of Participation will be issued to participants who
- Attend 75% of the workshop; and
- Sit for short quizzes during the workshop
Schedule
Day 1
| 8:30 am |
Registration and Introduction |
| 9:00 am |
Text Analytics in Practice |
| 10:00 am |
Teabreak and Networking |
| 10:30 am |
Text Analytics in Practice |
| 12:30 pm |
Lunch and Networking |
| 1:30 pm |
Machine Learning |
| 3:00 pm |
Teabreak |
| 3:30 pm |
Machine Learning |
| 5:30 pm |
End of Day 1 |
Day 2
| 8:30 am |
Registration and Recap |
| 9:00 am |
Predictive Analytics in Practice |
| 10:00 am |
Teabreak and Networking |
| 10:30 am |
Predictive Analytics in Practice |
| 12:30 pm |
Lunch and Networking |
| 1:30 pm |
Predictive Analytics in Practice |
| 3:00 pm |
Teabreak |
| 3:30 pm |
Predictive Analytics in Practice |
| 5:00 pm |
Assessment, Q&A, Summary |
| 5:30 pm |
End of Day 2 |
Fees
| Category |
Full Fee |
After SF Series Funding |
After SF Mid-Career
Enhanced Subsidy |
| Singapore Citizen (Below 40) / Singapore PR |
$1,391.00 |
$417.30 |
Not Eligible |
| Singapore Citizen (40 & above) |
$1,391.00 |
$417.30 |
$157.30 |
| Non-Singaporeans |
$1,391.00 |
Not Eligible |
Not Eligible |
Note:
- All figures include GST. GST applies to individuals and Singapore-registered companies.
- You can opt for either SF Series Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.
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Learn more about funding types available
Terms & Conditions:
SkillsFuture Series Course Funding
In order to be eligible for the 70% training grant awarded by SkillsFuture, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen or Singapore Permanent Resident
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SkillsFuture Mid-Career Enhanced Subsidy
To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen
- Be at least 40 years old
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.
SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.
