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For our Apr 2020 intake, click here.
For our May 2020 intake, click here.
As the saying goes, data is the new oil – valuable and, in many cases, just waiting to be discovered. But, just like oil, if it remains unrefined it cannot be used to power our companies’ decision-making engine.
The Mastering Data and Analytics for Marketers workshop aims to create a new generation of ‘data refiners’ who can extract, transform and analyse marketing data to draw valuable insights and help their companies improve marketing performance.
Starting on day one with the purpose, possibilities and limits of analytics, this course will quickly segue into hands-on data analysis using R notebooks to draw insights from digital marketing data. Day two, then, provides examples of how marketers can use visualizations, statistical tests and forecasts to help solve the marketing problems which companies face today.
Along the way, participants will learn how to operationalize everything they learn so that they will finish the course with a clear notion about how to apply analytics to their everyday work.
WHO SHOULD ATTEND
While the course has been written for professional marketers, it will benefit anyone who seeks to learn how to use analytics environments, gain new insights from data and provide recommendations which improve business performance.
WHAT WILL I LEARN
Introduction to Advanced Analytics
- What is analytics?
- Why marketing analytics needs to improve
- How marketing analytics helps the business overcome biases
- Probability and statistics overview
- Analytics technologies
- Jupyter notebooks vs. other analytics environments
- Creating an R notebook in Kaggle
- Data transformation with dplyr
- Viewing sample statistics in R
- Cross-tabulation to draw insights from marketing data
- Building meaningful reports with tabyl
- Introduction to time series analysis
- Choosing the right visualization for categorical and continuous data
- Creating beautiful, insightful charts in R
- Visualizing time series
- School statistics vs. marketing analytics
- Calculating confidence intervals of marketing data
- Comparing two data sets using statistical significance
- The statistics behind A/B testing
- Finding the ‘real’ A/B test winner with chi-square tests
- Issues with real-time A/B testing
- Measuring the correlation of marketing spend and performance
- Building a predictive linear model
- Time series forecasting including seasonality
- S$1,500 per participant (exclu GST)
- Up to 90% funding available!
IBF-STS Funding Support
- Only Singapore Citizens or Singapore Permanent Residents, physically based in Singapore are eligible.
Trainees under the programme will receive funding support as follows:
|Category||Singapore Citizens||Singapore Citizens||Singapore Permanent Resident|
|Age Group^||Below 40 years old||Above 40 years old||All ages|
|Sponsored by Financial Institutes*||Up to 70% of the direct training costs, capped at $7,000 per trainee||Up to 90% of the direct training costs, capped at $7,000 per trainee||Up to 70% of the direct training costs, capped at $7,000 per trainee|
|Self-Sponsored||Up to 70% of the direct training costs, capped at $7,000 per trainee||Up to 90% of the direct training costs, capped at $7,000 per trainee||Up to 70% of the direct training costs, capped at $7,000 per trainee|
*Refers to Financial Institutions regulated by MAS (either licensed or exempted from licensing). Entities that are significantly involved in supporting financial sector activities will be assessed for eligibility on a case-by-case basis. To clarify, please email email@example.com
^Age of the Singapore Citizen is determined at the point of his/her successful programme completion, based on his/her calendar year of birth.
Note: IBF funding does not support all ancillary expenses (e.g. freight/delivery costs, material costs, rental costs, food & refreshments, travel expenses including airfare, accommodation, cost of living allowance, etc.) and other charges (e.g. credit card charges, conversion charges, etc.)
- Attain a 100% attendance for 2-day training
- Achieve a passing rate of at least 70% for Mastering Data and Analytics for Marketing Assessment
For Company Sponsored Participants:
Company Sponsored participants will be paying FULL fee for the course. Claims will be submitted to IBF by the Financial Institute according to two half-yearly claim cycles, within three calendar months from the end of each qualifying period.
Kindly click here for more information for Company Sponsored claims by Financial Institutes (pg 5-7).
- SkillsFuture Credit (SFC) cannot be used to co-fund the programme fees of company-sponsored training programmes
For Self Sponsored Participants:
Claims for Non Company-Sponsored participants of IBF-STS programmes shall be submitted by the Financial Training Provider within 3 months from the participant’s date of programme completion.
Self Sponspored participants will be paying NETT fee (after deduction of funding amount).
- Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.
- All claim application must be submitted through the IBF Portal.
- Financial Institutes and Financial Training Providers will be required to create an IBF Portal account for this. Application for an IBF Portal account will require the appointment of Management Representatives to manage the account and verify the authenticity of the organisation and key persons. To apply for an IBF Portal account, please click here.
For more information on funding eligibility criteria, please visit IBF-STS Website here.
NTUC Members can claim 50% of unfunded course fees up to $250 a year through UTAP. More information can be found here.
Not an NTUC Member yet? Sign up here.
Click here to see our Refund Policy.
If you require any assistance, kindly call +65 6909 9150 or email TeamSG@clickacademyasia.com for more information.
- 23 Apr24 Apr
23 Apr - 24 Apr
Thursday - Friday
9am - 5pm daily