Data Analytics Certificate Course
- 64 Hours Classroom, Virtual or Self-paced Sessions
- 40 Hours Streaming Hours & Coursework
- 20 Hours Real-Time Industry Project
- 100% Job Assistance
- Industry Placement Training
- 100% HRD Corp Claimable!
14673 Learners
Calendar-for-Virtual Interactive Classes
Start Date
Data Analytics Course
Total Duration
3 Months
Prerequisites
- Computer Skills
- Basic Mathematical Concepts
- Analytical Mindset
- Basic Excel Knowledge
Data Analytics Training Overview
This certificate program on Data Analytics makes you an expert by introducing you to the most influential Data processing, analyzing, and storing tools and techniques. In this course, students will be introduced to Power BI, Advanced Excel, and SQL/No SQL. Students can learn important skills in Data Analytics like- My SQL, DBMS Language, SQL operators, SQL joins, SQL triggers, data modeling, and DAX, data visualization, learning advanced excel functions for storing and sorting data.
What is Data Analytics?
Data Analytics is the process of delivering valuable insights from data through quantitative and qualitative approaches. The process consists of extracting data and categorising it into various forms, to make it resourceful and valuable. At present many Data Analytics techniques use software combined with Machine Learning algorithms, Artificial Intelligence, and other specific features.
The various types of Data Analytics are Prescriptive Analytics, Predictive Analytics, Diagnostic Analytics, and Descriptive Analytics. Every organisation is getting morphed to a data-driven industry. It has to depend on categorising and analysing data for making productive decisions. Globally in many companies, Data Analytics is used to deliver operational efficiencies and unprecedented opportunities.
What is Data Analyst?
A Data Analyst has to explore or fetch data from various sources and design it to maintain resourceful databases and data systems. Data visualization, Data mining, Data cleaning are part of the roles of Data Analyst. A skilled Data Analyst should have statistical and domain knowledge. There are other roles of Data Analyst in various fields such as Marketing Analyst, Operation Analyst, Financial Analyst, Digital Analyst, etc. There is substantial demand for Data Analysts but there is a lack of supply. There is a huge requirement of skilled Data Analysts and people who love analytics can undoubtedly opt for this Career. Apart from the lucrative income, there are excellent perks and a lot of liberties. In every sector Data Analysts are necessary to analyze data, they are not limited to specific terrain.
Data Analytics Course Outcomes in Malaysia
The main aim of the course is to give you an outlook towards the various techniques used in handling vast data sets via Data Analytics that are currently trending in Malaysia. Learners get to assess and apply technologies used for storing and processing vast amounts of data. Each module is planned in a way that it will instruct students on various techniques used in analyzing structured and unstructured data. This is the ideal course for professionals who want to acquire in-depth knowledge of daily used data frameworks.
The three- month Data Analytics training will cover the essential tools like SQL, NoSQL, Power BI, and Advanced Excel concepts. Students will learn to store, retrieve, manipulate, and analyze large datasets stored in Database management systems like relational database management systems or document-based database systems. They will also be introduced to various concepts to represent the data on the serving layer to show results in easier and readily consumable visual formats. The course contains multiple applied case studies that enable the participants to solve complex business problems improving profitability in their companies.
Block Your Time
64 hours
Classroom, Virtual, or Self-paced Sessions
40 hours
Streaming Hours &
Coursework
20 hours
Real-Time Industry Project
Who Should Sign Up?
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Data Analytics Modules in Malaysia
With this course, students will learn all the trending 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. Each module is designed to give a profound understanding of the tools like SQL, NoSQL, Power BI, and Advanced Excel. SQL and No SQL module will introduce you to the fundamentals of SQL with all the important functions needed to analyze and grade data. The Power BI module completely concentrates on data visualization and data insights. The Advanced Excel module will take you through the simpler and complex formulas of Excel that will help you in processing data and storing it. And many other important concepts are explained in the Data Analysis course in Malaysia.
Tools Covered
Data Analytics Trends in Malaysia
Malaysia has been actively using technology post digitization for business practices. After the Covid-19 pandemic hit it has forced the majority of organizations to move online. IoT, data storage and management, Big Data, data governance are the most popular tech domains running the show now. Here are some of the interesting trends for Data Analytics in 2022.
- A survey noted that 75 percent of organizations will start operationalizing AI in 2025. Many government and private organizations are running pilot programs in AI that are ready to operationalize on a large scale.
- Dashboards that are famous today are predicted to lose their relevance to Data Stories, which will become the most extensive way of consuming analytics by 2025.
- Many organizations have been already taking data-driven insights, leading to a new role of Decision Intelligence analyst, more than 33 percent of major organizations are already practicing decision intelligence and it is expected to flourish by 2023.
- Augmented Data Management is another new trend that we will be seeing where organizations will be using metadata, data fabrics, and Machine Learning to connect and manage data efficiently.
- Public cloud services will become the norm by 2024.
- The majority of organizations will either be data sellers or receivers. A data marketplace will be established online. Malaysia with its peninsular mainland in the South - Eastern part of Asia is rich in Flora & Fauna. It is one of the fastest-growing economies and has embraced emerging technologies from around the globe. Many industries in the federal capital region of Kuala Lumpur are now using advanced Data Analytics for their business operations. Petronas, the leading company in Kuala Lumpur has been using Data Analytics for quite some time. Analytics professionals with knowledge for SQL, No SQL, Power BI and Advanced Excel are now very much in demand because businesses are obsessed with Data Analytics is driven decision making.
Course Fee Details
Online Interactive Sessions
Mode of training: Live Online
- 10+ hours of live online doubt clarification sessions
- Free access to USD 500 worth study materials - mindmaps, digital book on Data Science & many more
- Blockchain security enabled tamper-proof certificate(s)
- Real-life industry-based projects with AiSPRY
- 100% HRD Corp-claimable courses
- Free Learning Management System Access
Next Batch: 30th November 2024
MYR 3,300
Minimum instalments cost starting from: MYR 1,188
15872 Learners
1742 Reviews
Employee Upskilling
Mode of training: Onsite or Live Online
- Minimum 10 participants per batch for Onsite training
- Pre & Post Assessment Services
- Blockchain security enabled tamper-proof certificate(s)
- Customised Curriculum with industry-relevant use cases
- 100% HRD Corp-claimable courses
- Free Learning Management System Access
Next Batch: 30th November 2024
Corporate Group DiscountsUp to 30% for 3 participants & above
15872 Learners
1742 Reviews
Payment Accepted
All prices are applicable with 8% taxes.
Practical Data Analytics: Work-Integrated Learning Course
Dive deep into analytics and transform your career in just 6 months.
Elevate your data insights and seamlessly transition from learning to working.
- Work-Integrated Learning: Transition from learning to working in 6 Months - 30 days
- Tackle 3 Industry-specific real-time projects to refine and showcase your skills
- Secure 100 hours of credible working experience in data analytics
- HRDC claimable and 6 months instalments available
Offer ends:15th Jan,2025
How We Prepare You
- Additional Assignments of over 60-80 hours
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- 6 Months Access to LMS
- Job Assistance in Data Analytics Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in a Live Project
- Life Time Free Access to Industry Webinars
Call us Today!
Data Analytics Panel of Coaches
Bharani Kumar Depuru
- Professional Experience: Over 18+ years in data analytics, digital transformation, and Industrial Revolution 4.0.
- Expertise: Specializes in data analytics and digital transformation.
- Corporate Clients: Worked with Deloitte, HPE, Amazon, Tech Mahindra, Cummins, Accenture, and IBM.
- Certifications: PMP, PMI-ACP, PMI-RMP, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner.
Bhargavi Kandukuri
- Professional Experience: Over 19+ years in electronics and communications engineering.
- Expertise: Specializes in business analytics, quality management, and data visualization with Tableau.
- Experience: Worked with Infosys Technologies, iGate, Patni Global Solutions as a technology analyst.
- Certifications: Tableau Desktop 10 Qualified Associate.
Sreeja Depuru
- Professional Experience: 10 years in cloud computing and Internet of Things (IoT).
- Expertise: Specializes in data analytics, solution architecture, and IoT.
- Experience: Worked with Innodatatics and 360DigiTMG.
- Certifications: AWS Certified Solutions Architect - Associate.
Data Analytics Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Analytics Certificate is your passport to an accelerated career path.
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Alumni Speak
"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'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
"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. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
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FAQs for Data Analytics Course
Different organisations use different terms for Data Professionals, you will sometimes find these terms being used interchangeably, though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.
Yes, of course after finishing the data analytics sessions, tasks are given to reinforce learning and practical data analytics abilities. These assignments let students apply theoretical information to real-world settings, which fosters a deeper comprehension of the subject. They also act as examinations of skill and preparation for data analytics positions.
In this blended programme, you will be attending 48 hours of data analytics classroom sessions over six days on campus in Kuala Lumpur, Malaysia. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 40-60 hours. Besides this, you will be working on a live project for a month.
Seeking a career path to Become a Data Analyst, one should consider taking up Data Analytics Course from credible institutions such as 360DigiTMG. Prerequisite programs should include all basic analytical tools, statistical methods, and practical uses to be able to perform well in the field. Aim at attaining those certifications which are relevant in the Malaysian job market in order to get more career opportunities.
360DigiTMG provides internship opportunities through Innodatatics, our USA-based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practice.
While there are a number of roles pertaining to Data Professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles. As a Data Analyst, you will be dealing with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The functions pertain more to the use and analysis of historical data for understanding the current state.
As a Data Scientist, you will be building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. A Data Scientist also performs predictive modelling to facilitate proactive decision-making. Machine Learning algorithms are used to build predictive models using Regression Analysis. A Data Scientist has to develop expertise in Neural Networks and Feature Engineering.
A Data Engineer primarily does programming using Spark, Python, R etc. It often complements the role of a Data Scientist.
A Data Architect has a much broader role that involves establishing the hardware and software infrastructure needed for an organisation to perform Data Analysis. They help in selecting the right Database, Servers, Network Architecture, GPUs, Cores, Memory, Hard disk etc.
There are plenty of jobs available for Data Professionals. Once you complete the training, assignments and the live projects you can enroll for placement assistance. We help our students in resume preparation. Once the resume is ready we will float it organisations with whom we have formal agreements on job placements.
We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement. After placement, we provide technical assistance for the first project on the job.
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
No. The cost of the certificate is included in the programme package.
Yes, Data Analytics is very high in demand in Malaysia which covers many sectors. The rising use of data-driven decision making and the digital transformation of Malaysia are stimulating the demand for proficient professionals. For example, industries like finance, healthcare, and e-commerce are among the ones offering data analytics expertise for strategic purposes.
Jobs in the Field of Data Analytics in Malaysia
As Malaysia is emerging with many industries, the need for Data Analysts is high. The different job roles in Malaysia are Data Analyst, Data Engineer, Operations Analyst, Marketing Analyst, Financial Analyst, Digital Analyst, and so on.
Salaries for Data Analytics In Malaysia
In Malaysia, the average salary for a Data Analyst is RM 3,791. A fresher Data Analyst in an entry-level job can expect a pay of RM 2500-4500. The senior Data Analyst can expect pay in the range between RM 41k - RM 129k.
Data Analytics Projects in Malaysia
Big Data Analytics Digital government Lab was launched in Malaysia in 2015. So, expertise in Data Analytics is required to work for the following sectors: Agriculture, Finance, Health care, Biodiversity, Logistics, Legal, and many more. Data Analytics will become an essential feature for the industries and organizations to gain a competitive edge.
Role of Open Source Tools in Data Analytics
SQL, No SQL, Power BI, and Advanced Excel are the new generation analytics tool that is leading the Data Analytics domain. SQL and NO SQL make you a master in creating and altering databases while saving data. Power BI is a popular data visualization tool that visualizes data perfectly providing data insights. Advanced Excel knowledge will surely put you a step further than your peers as it makes data segregation and data processing painless.
Modes of Training for Data Analytics
The data analytics in Malaysia is designed to suit the needs of students as well as working professionals. 360DigiTMG Data Analytics offers students the option of both classroom and online learning. We also support e-learning as part of our curriculum. Individual attention is guaranteed to the participants.
Industry Application of Data Analytics
Data Analytics professionals in Malaysia are required for various streams of industries like Traffic and Transportation Management, Environmental monitoring, Financial Services. Telecommunications, Information Technology, Banks, Manufacturing, Education, and Healthcare.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Data Analytics in Other Locations - Data Analytics Course, Data Analytics Course Malaysia, Data Analytics Courses Malaysia, Data Analytics Courses, Data Analyst Course Malaysia, Data Analytics Trainings, Data Analytics Course in Bangalore, Data Analytics Course in Hyderabad, Data Analytics Training is the key to unlocking meaningful insights from massive databases. It serves as a conduit, facilitating the conveyance of critical data-driven insights to meet modern business requirements. Pursuing Data Analytics Certification guarantees experience in creating, deploying, and improving data solutions to meet shifting demands.