Full Stack Data Scientist Executive Program Training Malaysia
Learn Industry specific Data Science concepts designed in
collaboration with Industry partners which will guarantee you
to stand out from the competition and recession.
Hours Live Sessions
Skills & Tools
Upto RM 4600
11 Mar, 2023
Easy Payment Option
Starts at RM 2334 per month
Online & Classroom
The Executive Programme for Full Stack Data Scientist equips data professionals in Malaysia with deep conceptual understanding and hands-on training in all the advanced tools and techniques needed to make data-driven business decisions.
The core course modules of the data scientist certification course have been designed to suit different job profiles data administrators, business analytics, data analysts, data engineers, data architects and data scientists. Students also have a wide choice of electric modules for various industry and function-specific data analytics roles.
Introductory session to the Executive Program for Full Stack Data Scientist
Participants will gain expertise in handling big & Analytics projects that include Scrum of Scrums and be able to utilize the latest project management tools effectively in the wake of emerging technologies.
The course will help participants prepare for (PMI-ACP)® exam. We impart the theoretical concepts of Agile Methodology to our students along with hands-on exercises. On completion of the PMI-ACP certificate training program, students can confidently lead large scale project teams in the capacity of an Agile coach.
Data Science project or IoT Project or Cloud Computing Project or Artificial Intelligence project, no matter which domain the project is from, we apply project management methodology. All the best practices of CAPM will be applied while doing the live projects.
SQL for structure database and NoSQL for unstructured database. Create tables to store data and extract specific information for data analysis for SQL and understand how to leverage the capabilities of NoSQL alongside SQL.
Participants will be storing the data in relational database management system & will be able to query the data appropriately. Also participants will be able to store & retrieve the unstructured data from NoSQL databases such as MongoDB.
Core skills needed to design and deploy devices and communication interfaces for IoT-driven architectures.
Participants shall be able to suggest on the best combination of IoT sensors suite so as to collect the data from the defined source & transport the data to cloud and/or on-premise infrastructure.
Comprehensive module that covers all the essentials about building infrastructure on the AWS Cloud
Participants shall be able to make use of the majority of cloud components and migrate the data from existing on-premise environment to cloud environment via batch processing as well as real time streaming data flow.
Develop an in-depth understanding of the two most popular programming languages for data science.
Students will be able to perform predictive analytics on structured data. Use supervised and unsupervised learning techniques to derive insights on data for data driven decisions. Students will solve problems like identifying insider trading, cardiovascular risk detection models, crime rate predictions etc., by using cocktail models.
Students will be able to build classification models using Video & Image datasets, which includes behavioural analytics, autonomous vehicles, etc. Students will also be able to build AI-driven chatbot with both NLP capabilities as well as speech recognition capabilities.
Master Big Data frameworks and understand how to process and analyse large datasets.
Students will be able to store big data using the Hadoop open source framework. They will be able to extract the data & process using Spark. Generate & publish reports using Tableau by establishing connection between Hadoop & Tableau.
Combine storytelling with data analytics to transform raw data into meaningful business insights.
Students will be directly connecting Tableau to various databases including streaming data. They will be using data blending by using multiple such data sources and generate meaningful dashboards & publish the same to stakeholders automatically.
Learn how to apply the most optimal solution for the purpose of Predictive Analysis.
Operations Research is applied on top of the regular predictive modelling performed using machine learning algorithms. This field predominantly includes two subjects of study - Data Optimization & Data Simulation. Data Optimization involves providing the best solution from the available pool of many solutions and most importantly when business constraints are levied on the problem at hand. Data Simulation is a technique used when data available is very limited and we want to artificially generate more data, given the small data. This is also used to perform what-if analysis so that managers may evaluate the various scenarios by changing the key parameters in a simulated environment. These two combined form the broad study of operations research.
Students will be working on projects, which includes the business problem, which involves finding the best solution given the business limitations or constraints. They will also be working on a project, which takes predictive models to the next level by providing provisions for decision makers to change the scenarios virtually & then take an action which best suits them.
Learn how to secure customer data using data security protocols, policies and procedures.
With the emergence of data & with research organizations razor sharp focus on data generation, it is becoming extremely clear that data will be the guiding force for all the organizations. At the same time, miscreants getting their hands onto the precious data of organizations would mean loss of business & loss of reputation for companies. Hence securing the data via Data Security protocols, policies, procedures is imperative. Alongside understanding the difference between data security & data privacy will help organizations decide on what warrants to qualify data as PII or PHI so that one may uphold the protection of customer data. Securing the organization data as well as respecting the data privacy of customers are pivotal for success of organizations dealing with data.
There will be a simulated environment in which students have to don the hat of data security specialist & data privacy ninja. They will be scored based on the preventive as well as corrective measures taken to secure data to protect the customers data.
Develop domain specific understanding of data analytics to boost your job skills
While understanding the generic data analysis techniques is very valid, even more valid will be to understand the finer nuances of the analytics performed in specific industries, sectors & domains. With analytics programs launched in the space of 56 different domains, 360DigiTMG commands a leader position in the education technology knowledge imparting segment. A few of the industry specific programs include Financial Analytics, Marketing Analytics, Supply Chain Analytics, Cyber Security Analytics, HR Analytics, etc.
Projects will be very focused based on the industry, sector or domain that students opt for. It could range from predicting employee sickness absence in HR analytics to capital asset pricing model in Financial analytics.
Data Analytics, Machine Learning, Python Programming, R Programming, AI, Deep Learning, Internet of Things, Cloud Computing, SQL/MySQL, Big Data, Hadoop, Spark.
College Degree in STEM related fields -Science. Statistics / Mathematics / IT / Physics / Software technology and Business. No Programming Knowledge needed.
Data Scientist, Data Analyst, Data Engineer, AI Expert, ML Expert, Analytics Modeler, Decision Analyst, Business Analyst, AWS Developer, Product Analyst, Database.
Candidates aspiring to get into Big Data Analytics. Analytics professionals, Business Analysts, Software Developers. Graduates looking for a career in Data Science.
Director - Innodatatics Inc USA
Industrial Revolution 40 Implementer
360DigiTMG & Innodatatics Inc , USA
Data Scientist - Research in Analytics,
Big Data & Deep Learning
Chief Data Scientist, Innodatatics Inc., USA
Change Management Expert
Senior Tableau Developer
Innodatatics Inc., USA
Director - 360DigiTMG, USA
Data Science | Artificial Intelligence
Learn through the "20 Most Promising Data Analytics Solution Provider of 2018".
Innodatatics provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. 360DigiTMG in collaboration with Innodatatics offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.
Design Database for Agriculture Industry
Design Database Architecture for Agro-based Industry keeping the current and future trends. A database having support for Cloud deployment and Machine Learning and AI application.
Machine Maintenance Automation using IoT
IR 4.0 enables machine to machine communication without human intervention. Setup a Automatic mechanism for Preventive maintenance of machines to ensure zero downtime of production.
IoT based Greenhouse Automation
IoT based Greenhouse Automation Alerting System to keep track and monitor the Soil moisture levels from Ground, Temperature, Humidity from the atmosphere.
Cost Effective Data Platform for e-Groceries
Given the large-scale scope of operations on daily basis, physical servers for this enormous data can be dampening for the data management and Analytics. Set up cloud platform for transactions data management to enhance the efficiency of e-commerce and reduce operational costs.
3D Image Processing for Autonomous Vehicles
Self-driving cars fueled by deep learning algorithms. Understand 3D data processing and develop a model using ChafferNet.
Cancer Prediction using DICOM Images
Understand Transfer Learning and Fine Tune CNN on DICOM images.
Real Time Behavioral Analytics
Capture various moods of staff from the real time CCTV footage videos.
News & Media
Generative Content Creation
Text generation using Deep Multilayer LSTM for content creation.
Video Captioning using Deep Learning
Application of Deep Learning advanced architecture variants (CNN + LSTM) to generate captions based on the content in videos.
Early Autism Detection
Identify autism in the early stages of a kid’s development using Machine Learning and Deep Learning techniques.
Building AI Driven Chatbot
Build NLP pipeline and sequence to sequence models for developing chatbots.
Building Robot Control System
Understand the environment for controlling robot mobility using Keras DQNs and Reinforcement Learning.
Energy & Oil and Gas
Wind Turbine Failure Prediction
Forecast the overall performance of the power plant and Downtime of Turbine due to failure in any of the components.
Data Pipelining for Market Basket Analysis
Develop Bigdata System to perform real-time analytics on customer transactions. Make recommendations based on the association between products purchased by the customers.
Loyalty program & Customer Engagement Index for a Restaurant
Gather 360Degree data of the customers from various sources to generate loyalty program for existing customers. Understand the pattern of customer behavior to design appropriate strategies to improve engagement.
Business Intelligence Dashboards for Agro Industry
Generate dashboards for Quick analysis and informational awareness and to track metrics, KPIs, of employees.
Deep Learning Recommender System
Develop recommendation system using Auto-encoders and RBMs.
Real Time Performance Tracking
Tracking the performance of staff in an unorganized sector like construction is hard. Using wearable devices, it is easy to track the performance of staff. AI technology also aids in ensuring the safety of staff by live tracking.
Finance & Banking
Insider Trading Identification for Banks
A company's insiders like directors, officers, and employees share information against the securities laws and regulations. Identify the potential Insider who may practice these illegal activities upfront.
Server Log Analytics
Track the evidence that potentially malicious users leave behind by analyzing the server logs. Perform predictive analysis based on the event logs as soon as they occur.
Maximize Throughput for a Production Line
Given the constraints of resources improve the production for a manufacturing firm using IR 4.0 solutions. Use the latest of technologies like cloud computing, IoT devices, Artificial Intelligence to enable machine to machine communication to improve the production.
Increase Nautical Mile Profitability for Aviation
For a domestic LCC it is proposed to improve the revenue by increase the usage of the available aircrafts. For this it is proposed to conduct competitor analysis and use the existing flight schedule data and use applications like network analytics/optimization, A/B testing and various prediction modeling techniques.
Finance & Banking
Customer Churn for Group Insurance
Analyze the Employee benefit Insurance policy plans and identify the optimized plan from HR/Organization perspective.
The average starting salary for Freshers on "Data Sciences" Start from RM 48k* PA
Average Hike for "Data Scientist" stands at 34% to 50%
15+ Hiring Partners
Personalized Recommendations from Experienced Counsellors.
Upto 20% Scholarships for retrenched and performers in eligibility test.
You will be part of 10+ Virtual Internships, 20+ tools and demand job skills.
Internships to students where they can work on real world problems and solve real-world challenges.
Tableau Desktop Certified Specialist
AWS Cloud Practitioner
Lean Six Sigma Green Belt (TUV SUD)
CAPM® from PMI
CCA Spark & Hadoop Developer
Project Management Professional(PMP)®
CCA Data Analyst
AWS Solutions Architect
Tableau Desktop Certified Associate
ISO 27001 Lead Implementer
Cloud Compting, Internet of Things (IoT), SQL/NoSQL, Hadoop, Spark, Machine Learning, Data Analytics, Artificial Intelligence (AI), Deep Learning, Business Intelligence, Data Visualisation, Data Security and Data Privacy
Classroom Trainings, Virtual Sessions, Boot Camps, Workshops, Seminars and Webinars Flexible approach - access to recorded videos for self-paced learning
Training faculty with 15+ years of average experience and trained 20,000+ professionals and 10,000+ students from 8-12 countries. Corporate clients include many Fortune 500 companies
Carries a legacy of training 20,000+ professionals and 10,000+ students from across the globe.
Our program has been approved by 3 leading international universities/accreditation bodies.
Curriculum has been meticulously designed by industry experts by considering student communities as well as working professionals.
A coordinator will be assigned for you until you complete the program for smooth delivery of your training journey with 360DigiTMG.
Last date for the Application: 5 Mar, 2023
Cohort Start Date: 11 Mar, 2023
Get career advise from Industry experts and Program advisors. Chart out the best opportunities available for your profile suitable to your goals.
0% Interest Free Installment options available
There are numerous opportunities after completing the Full-Stack Data Science program in Malaysia. The job roles will be Full-Stack Data Scientist, Senior Data Scientist, Data & Advanced Analytics Architect, Senior Data Engineer, Data Analyst, and so on.
Data Science and AI technologies are emerging technologies that are being rapidly adopted in various business sectors to stay ahead of the curve. Its applications are vast that include Cancer prediction, Speech recognition, Robotics, and many more.
Full-Stack Data Science is a revolutionizing technology providing ample lucrative opportunities in various sectors. It is considered as one of the hottest jobs, provides high job satisfaction, and has a huge business impact with cutting edge applications.
The virtual internships program will enable students to hone their skills and become proficient in the applications of various technologies and tools. This gives students exposure to real-world challenges and trains them to build data-driven strategies and solutions. This kind of training approach helps students to harness their skills and knowledge in their jobs and perform well.
The prime advantage of a full-stack course is the ability to complete 12 courses each of 3 months duration in 9 months. The cost of a full-stack course is far lower than that of the 12 normal courses. Also since you are specializing in multiple domains you can apply for a variety of job roles in data science at the end of the course. Your employability and knowledge levels will be higher than the competition.
This course comprises of the following modules :
You can master twenty-plus tools and languages at the end of the course.
Around 540+ hours are devoted to an internship with INNODATATICS.
You can apply for the following certification examinations at the end of this course.
We offer a zero cost EMI scheme to all students who avail of this course.
This certification is valid lifelong. We offer you the opportunity to re-attend modules that you find difficult at no extra cost.
You will have the delightful opportunity to work on 10 + 1 capstone projects in this course. These are live projects with INNODATATICS.
We offer 14 Unique Domain Centric Electives. You can specialize in any one of them.
The minimum educational qualifications are an undergraduate degree in Mathematics/Statistics/Computer Science/ Data Science from a recognized University or a Bachelor's degree in Engineering ( any specialization).
Fresh graduates can join this course and avail of placement assistance. We offer $1000 worth of free foundation courses for beginners and students from non-IT backgrounds which would enable them to comprehend successive modules in our full-stack data scientist course.
We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
The course material can be downloaded from our online Learning Management System AISPRY.
AISPRY is our Learning Management System. It hosts the recorded videos of sessions along with Course Material, Quiz modules, Assignments, Program codes, practice Data Sets and other material required for your certification program.
We record all our classroom sessions and upload the videos in our Learning Management System AISPRY. Students can access these videos at their convenience, should they miss a session. This also helps in self-paced learning.
We enable virtual learning with our free webinars on different data science topics.
This course follows a blended learning approach in which 290 hours are devoted to theory sessions in the classroom, 600+ hours are devoted to assignments and e-learning, and 540+ hours are spent in live projects with INNODATATICS.
360DigiTMG provides 100% placement assistance to all students. Once you have completed all your live projects with INNODATATICs, you can register with our placement cell. Our placement assistance commences with resume preparation assistance. We also give you the opportunity to attend unlimited mock interviews. We also float your CV to placement consultants with whom we have had a long association with. Once placed we offer technical assistance on the first project on the job.
We will provide certification that recognizes you as a Full Stack Data Scientist at the end of this 9-month course.
360DigiTMG’s Full Stack Data Science program equips its graduates with the latest skillset and technology in becoming industry-ready Data Scientists. Thanks to this program, I have made a successful transition from a non-IT background into a career in Data Science and Analytics.
The courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science.
I joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand them. I would recommend others to join it.
I still remember going through websites for the Data Scientist course. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices.
I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting.