This 6 months University certified Diploma program in Data Analytics makes you an expert by introducing you to the most influential Data processing, EDA, Descriptive analytics, analysing data to solve complex business problems, pulling the data, and storing reports & dashboards in the required format. In this course, students will be get introduced to BI tools like Power BI, Tableau, Advanced Excel, SQL/NoSQL, and Statistical programming tools Python and R programming. One will learn to deliver valuable insights from data through quantitative and qualitative approaches. Integrating the various disparate systems is at the heart of the training program.
Finally, participants can confidently face the customers and document the project solution in a manner that will help align all the business & technical stakeholders into solving the complex business problems.
360DigiTMG aims to train you with the best data analytics skills, help you gain rich-industry work experience, and get placed in world-class organisations. We aim to shape your career with industry-relevant knowledge so that you get the desired pay packages you truly deserve. 360DigiTMG is considered to be one of the best training institutes in the field of data analytics.
Chart your career with 9 hybrid modules and 5 industry projects designed for expanding job roles which includes fundamentals to advanced analytics and BI concepts.
EDA & Descriptive Analytics
Python Programming
24 Hours
Objectives
This module on Python programming course is your first step towards learning the fundamentals of Python programming. In these modules, you will learn about the various components of programming which are vital concepts in computer programming. This module will teach you the fundamentals of data structures and you will learn how to create algorithms and how to test and debug Python code.
Key Modules
Database Management System (SQL)
12 Hours
Objectives
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
Key Modules
CRISP-ML(Q) & Descriptive Analytics
20 Hours
Objectives
This module the student will learn all about CRISP - ML(Q) the perfect project management methodology used for handling data analytics projects. Understand the entire process flow including business problem definition, data collection, data cleansing, feature engineering, feature selection, model building, deployment and maintenance. Learn to Articulate the business problem by understanding the client/customer requirements.
Key Modules
Business Intelligence & Visualization
Business Intelligence with Power BI
24 Hours
Objectives
This module will teach how to bring data alive through data dashboards, graphs, charts, interactive reports, and visual representations with the help of Power BI. Participants will process unrelated sources of data into coherent, interactive, and visually immersive insights. And master storyteller with the data visualisation using Power BI training.
Key Modules
Data Visualization Using Tableau
24 Hours
Objectives
This module on Data Viz focuses on a toolTableau that has been in the Leader’s Quadrant in Gartner’s Magic Quadrant for many years. In this module, the participants will also learn how to discover patterns in data, create stories, dashboards, and workbooks, and optimise database queries. The course will also expose students to the analytical capabilities of Tableau Desktop that is used to create and share views.
Key Modules
Data Visualization Google Studio
4 Hours
Objectives
This is a beginner level course which will teach the participants to create an account, implement tracking code, reports etc. Learner will be able to navigate the analytics data report, dashboards and shortcuts. Will teaches you to analyse your customer behaviour, patterns, set up goals and campaign tracking.
Key Modules
Data Analytics on Cloud
Data Analytics using Excel
16 Hours
Objectives
This Data Analytics using Excel module will take you through the simpler and complex formulas of Excel that will help you in processing data and storing it. Data Analytics tools needed for solving complex problems in the work atmosphere. Students get a good understanding of predictive and descriptive analysis with a deeper knowledge of how to perform data cleansing and categorization.
Key Modules
Cloud Data Analytics using AWS
20 Hours
Objectives
In this module participants will learn to adopt a digital-based business approach leading to productivity and sustainability of the business using cloud services like AWS. Learn to establish scalable infrastructure on the AWS cloud platform, and develop live reports from streaming data to take proactive business decisions.
Key Modules
Big Data & Analytics using Pyspark
12 Hours
Objectives
This Big Data & Analytics using Pyspark module will teach participants how to derive insights from the big data using the distributed framework 'Apache Spark. They will be able to extract the data & preprocess it using Spark to generate & publish reports using BI.
Key Modules
Final Examination
Exam Preparation for Diploma in Data Analytics (Self-Paced modules from State University of New York, USA)
50+ Hour
Objectives
Design an Entity Relation Ship Diagram for Database creation for a Logistics Company.
Integration between the tools is covered in detail.
Our program advisors shall help you save more
To suit all fields of the data analytics spectrum
To learn to customise your profile for 5 different domains
Module-level simulation of an actual job interview with industry experts
Up to RM 1500 per month paid internship upon successful completion of training
The prime advantage of a program is the ability to complete 10 courses each of 1-2 months duration in 6 months. The cost of the program is far lower than that of a university Masters Program. Also since you are specialising 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.
Flexibility | - |
---|---|
Full-time coding courses | Up to 400 hours |
Time commitment | 6 to 12 months |
Coursework (practical) | |
Pre & Post course support | |
Industry Specific Curriculum | |
Exposure to Domain Skills | |
Team studies | |
Life time learning support | - |
1-1 mentoring | |
Cost of Investment | - |
Flexibility | |
---|---|
Full-time coding courses | >600 hours |
Time commitment | 2-4 years |
Coursework (practical) | |
Pre & Post course support | - |
Industry Specific Curriculum | Upto 50% |
Exposure to Domain Skills | |
Team studies | - |
Life time learning support | |
1-1 mentoring | |
Cost of Investment | Up to RM 50,000 |
Flexibility | Live, self-paced learning |
---|---|
Full-time coding courses | 120 hours |
Time commitment | 6 Months |
Coursework (practical) | |
Pre & Post Couse support | |
Industry Specific Curriculum | |
Exposure to Domain Skills | Up to 20 Domain Analytics Use cases |
Team studies | |
Life time learning support | |
1-1 mentoring | |
Cost of Investment | < RM 3500(earn back RM 3000 through internships) |
Online Courses | Academic Degree | 360DigiTMG 3D program | |
---|---|---|---|
Flexibility | - | Live, self-paced learning | |
Full-time coding courses | Up to 400 hours | >600 hours | 120 hours |
Time commitment | 6-12 Months | 2-4 years | 6 Months |
Coursework (practical) | |||
Pre & Post course support | - | ||
Industry Specific Curriculum | Upto 50% | ||
Exposure to Domain Skills | Up to 20 Domain Analytics Use cases | ||
Team studies | - | ||
Life time learning support | - | ||
1-1 mentoring | |||
Cost of Investment | - | Up to RM 50,000 | < RM 3500(earn back RM 3000 through internships) |
Learn through the "20 Most Promising Data Analytics Solution Providers of 2018".
Innodatatics provide customised and innovative solutions for clients. The organisation is keen to support and encourage upcoming data professionals, and they believe that the need for skilled data scientists is only going to 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.
Analysis and Visualization of Employee Attrition Rate
Learn more >Analyse the employee records in the company to understand possible factors for employee attrition and retention, & thereby significantly reducing the recruitment cost and increasing employee productivity.
Machine Performance Monitoring
Learn more >The Tableau dashboard on Time series data of a Bottling plant is to capture the machine's performance and the anomalies to ensure a smooth production cycle. In addition, the MIS reports a real-time capture of the information to allow for predictive maintenance on the machine.
Hospital Patient
Analytics
The analysis of the Patients' experience, starting from admittance through the end of the treatment helps the management make better decisions. As a result, the reports help improve the quality of medical care and reduce patient costs.
eGrocery Analytics Dashboards
Learn more >The primary objective of the eCommerce dashboard is to give business owners a quick way to monitor the overall operations of the online store. The dashboards help to optimise the operations and make data-driven decisions, Monitor the KPIs and other metrics for decision making. The Analytics project provides the online store with the information to identify daily operations trends, opportunities, and potential challenges.
Job Consulting
Dashboard
The job consulting firm wants to streamline the hiring efforts by filling in the position with the best-qualified candidate. The recruitment dashboard captures a variety of KPIs to evaluate the factors that will help in the hiring process. By leveraging the power of recruitment analysis with an interactive dashboard, the firm can streamline the challenges in areas like candidate initial screening and shortlisting, vacancy fill times, and recruiting value.
EV Battery Component Dashboards
Learn more >The tremendous increase in Electric Vehicles in the automobile industry has induced a new trend in the electrification of transport. The analysis of fuel components of Electric vehicles with an accurate prediction of the breakdown is a critical aspect of EVs. A dashboard to analyse all the unique features and the relationships between all possible combinations among them will help in providing meaningful insights and understanding the root causes to help build preventive strategies.
Server Analysis Dashboards for VM's
Learn more >The analysis of the consumption of computing resources is an essential task of any organisation. The system and network administration teams are responsible for ensuring the availability of these resources for all the teams across the organisation. The real-time dashboard highlights the actual consumption of hardware resources like CPU, Memory, Disk storage, etc., to effectively manage the virtual machines and streamline the utilisation of the server.
Visualisations and Dashboards for Airport Baggage surveillance Analysis
Learn more >GIS solutions capture and display a consolidated view of every asset in real-time and provide status updates. Baggage Tracking Dashboards aim to improve efficiencies in baggage handling operations by providing visualisations of the baggage journey. Baggage Tracking Dashboards highlight the reports on the baggage journey at four key points. This project's primary goal is to analyse the baggage scanning machines and their operator's performance.
Analysis and Visualization of Employee Attrition Rate
Learn more >Analyse the employee records in the company to understand possible factors for employee attrition and retention, & thereby significantly reducing the recruitment cost and increasing employee productivity.
Machine Performance Monitoring
Learn more >The Tableau dashboard on Time series data of a Bottling plant is to capture the machine's performance and the anomalies to ensure a smooth production cycle. In addition, the MIS reports a real-time capture of the information to allow for predictive maintenance on the machine.
Hospital Patient
Analytics
The analysis of the Patients' experience, starting from admittance through the end of the treatment helps the management make better decisions. As a result, the reports help improve the quality of medical care and reduce patient costs.
eGrocery Analytics Dashboards
Learn more >The primary objective of the eCommerce dashboard is to give business owners a quick way to monitor the overall operations of the online store. The dashboards help to optimise the operations and make data-driven decisions, Monitor the KPIs and other metrics for decision making. The Analytics project provides the online store with the information to identify daily operations trends, opportunities, and potential challenges.
Job Consulting
Dashboard
The job consulting firm wants to streamline the hiring efforts by filling in the position with the best-qualified candidate. The recruitment dashboard captures a variety of KPIs to evaluate the factors that will help in the hiring process. By leveraging the power of recruitment analysis with an interactive dashboard, the firm can streamline the challenges in areas like candidate initial screening and shortlisting, vacancy fill times, and recruiting value.
EV Battery Component Dashboards
Learn more >The tremendous increase in Electric Vehicles in the automobile industry has induced a new trend in the electrification of transport. The analysis of fuel components of Electric vehicles with an accurate prediction of the breakdown is a critical aspect of EVs. A dashboard to analyse all the unique features and the relationships between all possible combinations among them will help in providing meaningful insights and understanding the root causes to help build preventive strategies.
Server Analysis Dashboards for VM's
Learn more >The analysis of the consumption of computing resources is an essential task of any organisation. The system and network administration teams are responsible for ensuring the availability of these resources for all the teams across the organisation. The real-time dashboard highlights the actual consumption of hardware resources like CPU, Memory, Disk storage, etc., to effectively manage the virtual machines and streamline the utilisation of the server.
Visualisations and Dashboards for Airport Baggage surveillance Analysis
Learn more >GIS solutions capture and display a consolidated view of every asset in real-time and provide status updates. Baggage Tracking Dashboards aim to improve efficiencies in baggage handling operations by providing visualisations of the baggage journey. Baggage Tracking Dashboards highlight the reports on the baggage journey at four key points. This project's primary goal is to analyse the baggage scanning machines and their operator's performance.
We have >78% placement success rate for our students across the globe,
According to the data from Malaysian payscale websites, the average monthly salary for the Data Analyst job in Malaysia ranges from RM 4,800 to 7,583 per month and is expected to grow by 28% in the next 5 years.
How much employees earn by their job title
Data Analyst
Senior Data Analyst
BI Consultant
BI Developer
The top 5 most asked skills for Data Analyst jobs in Malaysia?
Data Mining & modelling | Database management & reports | Tableau | Python | Big Data & Analytics using Pyspark
1000+ students per year trust our programs without conditional offer letters or paid internships and successfully completed the program and started working at their dream jobs. Now it's latched with 100% JOB ASSURANCE and RM 1,500/month Conditional JOB OFFER, What's stopping you?
The State University of New York, (in simple terms SUNY), which has 64 institutions, is the largest comprehensive university system in the (US) United States, including research universities, academic medical centers, liberal arts colleges, community colleges, colleges of technology and an online learning network.
A prestigious top ranked university certification with roots going back to the 1840s.
All samples shown are for illustration purposes only. Actually certificate might vary based on course enhancements and awarding body.
To be eligible for Practical Data Analytics Program, you should meet the following
Hold minimum Bachelors or Diploma from any accredited institution with minimum 60% academic score
College degree in STEM related fields. Science / Statistics / Mathematics / IT / Physics / Software Technology & Business
Knowledge on MS Office
To clear entrance exam with 360DigiTMG with 50% score
Good communication skills
Valid ID proof
All academic certificates
NO
programming
knowledge required
Internships are an ideal way to kick-start a career in any sector. However, for professionals to work in data-driven analytics, it is also beneficial to have relevant experience and knowledge of the domain. Therefore, an internship in analytics would be a potent add-on to starting a career in data analytics. You will get familiar with the latest data science tools and technologies and gain experience working on industry-level projects, which will ultimately help you advance in your career.
Salary for any field depends on your training, skills, and experience, and the same with the Data Analytics field. Freshers might have a basic pay of around RM 3,777 per month, and experienced will have a minimum salary of RM 6000 - 9000. The salary in Malaysia depends on your country and the training institute you have certified. Japanese or Indians get a handsome salary, the same for local Malaysians.
A data scientist's work is intellectually challenging, technologically advanced, and rewarding. Those considering data science for their career tune in to 360DigiTMG course training. All you need to do is start enroll in your subject, take classes, complete assignments, accomplish the final project, and get certification to build your resume. Then, start applying for the jobs with the skills gained by us. Therefore, the job is assured!
Becoming a data analyst is a stellar career option if you're looking for something stable and long-term. Depending on your goals and objectives, you could advance into data science, management, consulting, or a more specialized data career. As a data analyst, you can make a high salary and work in various areas, including food, technology, business, the environment, and the public sector. You can build a long and successful career in this field with the relevant skills and training.