Data Analytics for Practitioner: Certification by iTrain Malaysia
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Data Analytics For Practitioner

Duration: 3 Days | HRDF SBL Claimable!

Data Analytics For Practitioner Course Overview

Data analyst has just been rated one of the most demanding jobs of today, with companies rewarding skilled assets handsome pays. Major opportunities are emerging from the role technology plays in current businesses, and now is the perfect time to seize them.

This Data Analytics For Practitioner Course offers a comprehensive hands-on experience, exposing trainees to practical analytical perspectives and detailed methods of handling data using the ideal analytical tools.

Be prepared for a highly constructive 3-day course, designed to equip you 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.

Learning Outcomes

Upon completion of this course, you will be able to:

  • 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.

Who Should Attend

Product managers, Developers, Quantitative analysts, Digital marketers, Business Executives, and anyone else who works with Data.

Prerequisites

Candidates must have a background in databases and programming. Basic background in statistics, probability, linear algebra, and calculus would be helpful.

Course Outline

WHAT YOU’LL LEARN: DAILY SCHEDULE

Day 1

  • Predicting Customer Behavior With Greater Accuracy and Precision
  • Cost Improvements By Avoiding Manual Data Processing
  • Innovation Improvements
  • Analytics Maturity Curve

  • Introduction to Data Analysis
  • Data Processing
  • Data Quality
  • Working With SQL vs NoSQL

  • Product Recommendation and Churn Modeling Cases Will Be Discussed

  • 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

Day 2

  • 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

  • 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

  • Clustering Using K-means and Other Techniques
  • Classification Using Naïve Bayesian and Random Forest
  • Identifying Potential Customers

  • 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

Day 3

  • Presenting Data
  • Creating Dashboards and Storyboards
  • Identifying Measures

  • 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)

  • 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

FAQ

YOUR QUESTIONS, ANSWERED.

This workshop is intended for individuals who are interested in learning data analytics, or who want to begin their career as a data analyst.

Students will be given a Certificate of Attendance after successfully completing the course.

You bet it is! Our Certification Body for this course is iTrain Asia Pte Ltd, the region’s top Certifications Tech Provider headquartered in Singapore, with branch offices in Malaysia and Indonesia.

Upon completion of this course, you will be able to:

● 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.

This is a 3-day course at an instructor-led training centre.

Participants should use their own computers. However, no prior installations of applications would be required.

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