Step up your career in data science by becoming a full fledged developer today.
The Certified Data Science Developer Certification provided by IABAC has global recognition, and facilitates for value addition in landing an illustrious career in data science. It covers concepts such as basics of Data Science, Programing languages like Python and R, Statistics for Data Science, Data Science Deployment Models.
Duration
5 days / 40 hours
Level
Beginner to Intermediate
Delivery
100% Online - Instructor Led
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Key Features
- 40 hours of instructor led training
- Fully Online
- Class recording available
- Interactive Learning
- Additional Coaching Session
- 100% HRDF SBL-KHAS Claimable!
Pre-Requisites
- No mandatory prerequisites
- Recommended essential knowledge in :
a. Mathematics: Calculus, Statistics, Linear Algebra, Probability
b. Python/R Programming - Training: Though formal training is not mandatory; it is recommended to attend IABAC® registered course through Registered Education Partners
Who Should Join
- The professionals working in technology-enabled domains.
- The beginners and students, who aspire a career in data science
- The enthusiast, who wanted to acquire high-level knowledge in Data Science
Key Learning Outcomes
Upon completion, participants should be able to demonstrate each of the following outcome:-
- Develop real world data science projects
- Gain in depth understanding of data science field
- Be able to evaluate and apply deep learning concepts to projects
- Display a clear understanding of Python and its multiple libraries
IABAC Exam Information
Materials Permitted
- The examination is ‘closed book’
- No material permitted and No Internet Access
Exam duration & format
- The computer-based exam is timed for 60 mins. No breaks allowed.
- The exam consists of 25 Multiple-Choice Questions with three difficulty levels: easy, medium and difficult questions
- Each question carries 5 Marks / 10 Marks
- No Negative marking
Exam mode
- IABAC® certification exam is computer based and conducted through IABAC® Exam portal only
- Candidates require a computer with internet and webcam (video and audio) to take the exam
- Computer screen recording permission should be granted
Pass criteria
- The candidate needs to score assessment grade A+, A, B+, B, C+, C as a PASS Criteria
- The candidate needs to score 60% or higher in order to pass the examination
- The results will be declared after validation of the exam recording video session and identity proof verification.
Results timeline
- The preliminary results are usually released within 9 days of the exam date
- The official results are usually released within 15 days from the exam date
Certificate Issuance
- IABAC® e-certificate will be issued through the candidate’s registered email
- The e-certificate is digital verifiable at https://www.iabac.org/verify-certificate
- The candidate has license to share digital certificate validation in professional networking portals such as www.linkedin.com
- The candidate has a license to print physical copy (hardcopy) of the certificate
Course Modules Covered in the Certified Data Science Developer program
Module 1 - Software Engineering Practices
Software Engineering Practices
- Write clean, modular, and well-documented code
- Refactor code for efficiency
- Create unit tests to test programs
- Write useful programs in multiple scripts
- Track actions and results of processes with logging
- Conduct and receive code reviews
Module 2 - Object Oriented Programming
Object Oriented Programming
- Understand when to use object oriented programming
- Build and use classes
- Understand magic methods
- Write programs that include multiple classes, and follow good code structure
- Learn how large, modular Python packages, such as pandas and scikit-learn, use object oriented programming
- Portfolio Exercise: Build your own Python package
Module 3 - Web Development
Web Development
- Learn about the components of a web app
- Build a web application that uses Flask, Plotly, and the Bootstrap framework
- Portfolio Exercise: Build a data dashboard using a dataset of your choice and deploy it to a web application
Module 4 - ETL Pipelines
ETL Pipelines
- Understand what ETL pipelines are
- Access and combine data from CSV, JSON, logs, APIs, and databases
- Standardize encodings and columns
- Normalize data and create dummy variables
- Handle outliers, missing values, and duplicated data
- Engineer new features by running calculations
- Build a SQLite database to store cleaned data
Module 5 - Natural Language Processing
Natural Language Processing
- Prepare text data for analysis with tokenization, lemmatization, and removing stop words
- Use scikit-learn to transform and vectorize text data
- Build features with bag of words and tfidf
- Extract features with tools such as named entity recognition and part of speech tagging
- Build an NLP model to perform sentiment analysis
Module 6 - Machine Learning Pipelines
Machine Learning Pipelines
- Understand the advantages of using machine learning pipelines to streamline the data preparation and modelling process
- Use scikit-learn to transform and vectorize text data
- Use feature unions to perform steps in parallel and create more complex workflows
Module 7 - Experiment Design
Experiment Design
- Understand how to set up an experiment, and the ideas associated with experiments vs. observational studies
- Defining control and test conditions
- Choosing control and testing groups
Module 8 - Deployment and A/B Testing
Deployment and A/B Testing
- How it works and its limitations
- Sources of Bias: Novelty and Recency Effects
- Multiple Comparison Techniques (FDR, Bonferroni, Tukey)
- Portfolio Exercise: Using a technical screener from Starbucks to analyse the results of an experiment and write up your findings
Our Training Methodology
Practical Assignments
We provide hands-on assignments that requires practical implementation.
Virtual Coaching Sessions
Online coaching sessions that happen over the phone, via video, or on a web platform.
1 Year Access to LMS
Get access to learning resources upto 1 year of class completion.
Live Project Experience
Hands-on learning and training gives participants the opportunity to experience real world situations.
Online Assessments
Participants can assess reflect on their own learning and their level/skills.
Free Industry Webinars
Stay current on market research trends, learn best practices through our webinar sessions.
Program Key Highlights
40 hours of Remote Online Learning
Additional Coaching Hours
Live Hands-on Projects
Certified by International Body
Mentorship with Industry Experts
Designed for Beginners & Professionals
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Program Benefits
International Credential
IABAC® is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.
Global Opportunities
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
Specialization
IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.
Relevant and updated
IABAC® CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.
Higher Salaries
On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.
Summits & Webinars
In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.
Get Professionally Certified
Upon successfully completing this program, participants will be awarded the Data Science Developer Certification by International Association of Business Analytics Certification (IABAC).
This award is a validation to the efforts taken to master the domain expertise that will set you apart from your competition.
Be a part of the global network of data science professionals and join the community across sectors.
Get in Touch With Us Today!
This training program is suitable for anyone who intends to enter into the field of Data Science. This program is being conducted in Malaysia and can be joined by anyone, anywhere in the world remotely.
Program Fee
Funding price MYR 3700 per pax .
Funding Schemes for Companies who are claiming from their HRDF levy or from the MDEC MyWiT scheme.
Limited scholarships available for early self applying individual applicants.
Find out how you can qualify for a scholarship.
Enquire NOW on the various funding options available.
Limited scholarships available for early self applying individual applicants.
Find out how you can qualify for a scholarship.
Enquire NOW on the various funding options available.
One-time fee. One year access to course materials and resources.
Thulija Academy is a HRDF registered training provider. Our panel of expert trainers provide technology training for some of the biggest organizations in Asia.
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