Predict Future Trends with Data Analytics
Data Analytics for Practitioners (DAP)
Once submitted, you will receive the course syllabus via email
3 days, including
examination
Vendor
Neutral
Industry
Validated
Internationally Recognised
Digital Credential
Certification Exam
Pass the 2-hour exam consisting of 50 Online Multiple Choice Questions with the score of 70% to earn this certification
Vendor-neutral
“Vendor-neutral” certifications refer to any certifications that are not directly associated with specific IT vendors. These certifications tend to develop a knowledge and skill base that is universally applicable and individual with skills that are more conceptual, setting you up to work with a greater range of products / tools.
Industry Validated
One of the most industry validated digital skills certification in Asia. Course and exams is taken by the industries / academia / governments from 26 countries in Asia via 30+ Authorised Training Partners (ATP) and 50+ Authorised Academy Partners (AAP) within iTrain Asia Global Partner Network.
Internationally Recognized Digital Credential
iTrain Asia has partnered with Credly USA (Acclaim) – the International Digital Credentialing Provider to award digital badges for your iTrain Asia Digital Skills credentials. You can share your qualifications on social media, and keep your digital credentials for life. Employers can also easily validate the certification via blockchain enabled digital credentials 
UPCOMING TRAINING DATES
16 – 18 Aug 2023
Course Overview
Data analyst has just been rated one of the most demanding jobs of today, with companies rewarding skilled assets handsomely.
Our Data Analytics for Practitioner (DAP) course offers a full understanding of how data-driven models can improve your ability to make decisions in a fast-paced and uncertain world, and the ability to use modelling to predict future trends.
In our 3-days instructor-led course, you will be equipped with the right expertise to optimize the efficiency of any business, from operations to end-consumer goals, all with the data-driven insights you are entrained to obtain.
What you will gain:
- Incorporate text analytics over corresponding areas of commercial and retail production.
- Enhance the efficiency of customer behavioural modeling.
- Strengthen understanding in Text Analytics and Data Science.
- Grow the value-add of operations for higher management.
The Business Case for Data Analytics
- Predicting Customer Behavior With Greater Accuracy and Precision
- Cost Improvements By Avoiding Manual Data Processing
- Innovation Improvements
- Analytics Maturity Curve
Data Analytics
- Introduction to Data Analysis
- Data Processing
- Data Quality
- Working With SQL vs NoSQL
Case Study
- Product Recommendation and Churn Modeling Cases Will Be Discussed
Hands-on Exercise
- Participants Will Be Asked to Assess Their Analytics Maturity
- Participants Will Be Asked to Define Their Problem Statements for Their Business Segments
- Participants Will Be Asked to Discuss Organizational and Cultural Limitations Within Their Companies to Broad Analytics Adoption
Exploratory Data Analysis
- Distributions – Binomial, Power Law (Benford’s Law and Zipf’s Law), Normal, Etc.
- Descriptive Statistics
- Fitting Linear Models With lm
- Fitting Linear Mdels With Multiple Predictors
- Overfitting
Predictive Analytics With Python & R
- What is a Prediction?
- Sampling, Training, and Test Sets
- Constructing a Decision Tree for Purchasing Decision
- Collaborative Filtering for Recommendation Analysis
- Association Rule Mining for Recommendation Analysis
- Logistic Regression for Churn Modeling
- Neural Network for Churn Modeling
Customer Segmentation With Python and R
- Clustering Using K-means and Other Techniques
- Classification Using Naïve Bayesian and Random Forest
- Identifying Potential Customers
Hands-on Exercise
- Participants Will Be Asked to Perform Customer Segmentation on a Customer Data Set
- Participants Will Be Asked to Create a Recommender on a Customer/Product Data Set
Data Visualization With Tableau
- Presenting Data
- Creating Dashboards and Storyboards
- Identifying Measures
Setting Up a Data Architecture
- Data Ingestion Tools – Nifi, Kylo
- Data Lakes – Hadoop & S3
- Data Transformation and ELT
- Data Storage (SQL vs NoSQL)
- Message Storage (Redis Pub-Sub)
- Streaming Data Storage and Processing (Spark)
- Search Database (ElasticSearch)
- Graph Database (Neo4J)
Hands-on Exercise
- Participants Will Be Asked to Create a Simple Dashboard in Tableau
- Participants Will Be Asked to Identify Roles and Responsibilities That are Either Lacking or Not Adequately Skilled for Data Analytics
Exam
Don’t just take our word for it
Hear from our certified trainees
COMPANIES WHO LEARNED FROM US
Trusted By Public, Private & Education Sectors
Human Resources Development Corporation Approved Centre
All our certification training are HRD Corp claimable under the Skim Bantuan Latihan (SBL and SBL-Khas Scheme). For training under the SBL-Khas Program, no upfront payment is required. For more information, Click Learn More to Visit the site
Human Resources Development Corporation Approved Centre
A CERTIFICATION TRAINING THAT HELPS YOU STAND OUT
This Data Analytics For Practitioners (DAP) certification is awarded by iTrainAsia Singapore, the region’s top Tech Certification Provider. Be part of our expanding community of global tech experts, and gain the opportunity to:
Develop in-demand competencies and get acknowledged by key industry players & employers
Enjoy a leaner-mediated training experience that supports you from
start to end
Experience a structured and
hands-on approach to achieving your
credentials
Already a pro at this?
Explore other certifications instead
– Certified Python Programmer for Data Science (CPPDS)
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