Certificate Course in
Big Data for Managers
- 16 Hours Classroom & Online Sessions
- 40+ Hours Assignments & eLearning
- 100% Job Assistance
- Webinars Access

2334 Learners
Academic Partners & International Accreditations
"In the Asia-Pacific region, the revenues for Big Data and Business Analytics solutions reach $27 billion in 2022 with a CAGR of 15.1% for the period 2017-2022." - (Source). As per reports of IBM, there would be 2.72 million data science jobs by 2020. The constant use of Big data will certainly impact the organization which perceives and uses business intelligence. Big data trends involve new technologies, merge different technologies that are related to big data. Like, Machine learning is being merged with analytics and voice responses, while working in real-time, merging blockchain with the internet of things (IoT). Big Data is changing the Malaysian government’s service delivery into effective and innovative ways. MIMOS can map public health patterns, embrace safety, and make travelers’ journeys easy by analyzing and utilizing massive amounts of data generated by people’s daily activities. Big Data will play crucial for Malaysia to achieve the digital economy and it will add value to the business.
Big Data for Managers

Total Duration
1 Month

Prerequisites
- Computer Skills.
- Basic Math Knowledge.
Big Data Certification Course Programme Overview
Team leaders and Managers with no prior knowledge or experience of working with unstructured data can hugely benefit from the course, Big Data for Managers. The two-day Big Data Analytics course in Malaysia provides professionals with the essential know-how to lead projects that are getting increasingly data-driven. They will receive an introduction to the Hadoop framework and how to glean insights from an unstructured data environment. They can comprehend the various stages of a Big Data Analytics life cycle and its application in a daily business environment.
Big Data Training Learning Outcomes
360DigiTMG offers an in-depth experience education to the students. It emphasizes on delivering quality training to its aspiring students. Businesses across the globe are increasingly focusing on taking advantage of deriving answers from the past. By Big data analytics, managers will be able to make use of various data generation sources. Learn to extract data from a traditional data system. Managers with no prior knowledge of data analytics will be able to understand the Big Data and its applications from fundamentals. They will learn about the various layers of Big Data Architecture. They will learn and be able to differentiate structured data and unstructured data and glean insights about the advantages of Big Data. They will learn about the stages of Big Data Analytics and data flow in the tech stack. Malaysia is emerging in the field of Big Data and many industries are hiring Big Data professionals.
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Who Should Sign Up?
- IT heads
- Decision-makers
- Analytics Managers/Professionals
- Business Analysts
- Software Developers
- Individuals interested to learn Big Data Analytics
- Professionals interested in mid-career change to Big Data Analytics
Big Data Predictive Analytics Modules
The modules of Big Data for Managers are exclusively designed for the Managers or team leads who have no prior knowledge of Analytics. This course introduces the importance of Big Data and its tools for decision making, its vital role for business development. I will learn how to implement this technology as per business requirements. By this course, managers will learn about the Hadoop framework and its applications. Hadoop framework makes the developer’s job easy by managing the resources and the data in the cluster automatically. Hadoop is required for the business which deals with massive amounts of data. Along with Hadoop, managers will gain insights into another tool called Apache Spark. It is known for its speed. It is also called a Unified stack and has language flexibility. Learn in detail about the functions of Spark components: Spark Core, Spark SQL, Spark Streaming, Graphix, and MLlib. Learn about the unique data abstraction of Spark known as RDD and Spark operations on RDD’s. The majority of these tools are open source and free to explore by any individuals. Understanding the Big Data tools and technology will help you in taking necessary steps when required to assist the business take advantage of the humongous amount of data available. Learn more about cloud computing technology and cloud services.
Businesses across the globe are increasingly focusing on taking advantage of deriving answers from the past. Big data analytics projects are initiated to solve business problems. Trying to dig into huge amounts of organization data to find patterns or hidden anomalies will give actionable insights. Analyzing Big data can boost enterprise sales, increase their efficiency, and improve operations, customer service, customer satisfaction, customer retention, and risk management. This will help enterprises to gain a competitive advantage over others. Learn about applications of Big Data Analytics in various sectors which give a huge commercial benefit to the businesses.
Introduction to Big Data and its tools is mandatory for decision-makers. Understanding the needs and challenges of Big Data technology, during implementation and the know-how of moving the organization from traditional data storage sources to big data is pivotal for business success.
Learn about the open-source distributed computing framework developed to handle Big data. Hadoop framework makes the developer’s job very easy by managing the resources & the data in the cluster automatically. This gives the developers the freedom to focus on the business rather than the infrastructure. Hadoop is a very easy plug & play architecture that can be scaled up as the requirement increases. There are a lot of High- level projects developed on top of Hadoop to take advantage of the distributed framework of Hadoop. Learn about these features & the tools used predominantly in the industry to handle huge amounts of complex data.
If businesses have to survive and excel then they have to adopt technology & leverage on Big data. Analytics is a study to process the data & derive hidden truths/insights to provide the management a chance to mitigate the risk by predicting these risks upfront & also enhance customer satisfaction and retention. In order to churn a huge amount of complex data generated by enterprises, specialized tools are required. Tools which are capable to handle the real-time data which can be of any form structured or unstructured and of huge size.
Apache Spark is a new age tool that is a distributed computing framework designed to attain speeds that are lacking in MapReduce framework tools. Spark achieves the speed by keeping the data in-memory as much as possible on the cluster nodes. Spark is also known as a Unified stack and it has language flexibility. Learn about the libraries used for using Spark with Python (PySpark) and R (Spark). Understand the detailed functionality of Spark components: Spark Core, Spark SQL, Spark Streaming, Graphix, and MLlib. Learn about the unique data abstraction of Spark known as RDD and Spark operations on RDD’s.
Big data is a word that describes the sheer size of the data and the complexity of handling the data. It can be described using 4 Vs: volume, variety, velocity, and veracity. The traditional tools and techniques are not sufficient to deal with the complex huge and varied types of data in real-time. We need specialized tools designed to handle Big data for enterprises. The majority of these tools are open source and free to explore by any individuals. Understanding the Big Data tools and technology will help you in taking necessary steps when required to assist the business take advantage of the humongous amount of data available.
Cloud service is one of the hottest trends which has many advantages compared to traditional in house servers. Cloud computing is a technology to share unlimited computer resources over the internet instead of maintaining personal resources or in-house servers to run services. Cloud computing can be explained as service to store, process and access data through the internet. Cloud platforms have many advantages like cost Savings, high Speed, back-up and restore data, automatic software integration, reliability, and the most important for Big data is unlimited storage capacity. Cloud Infrastructure is the perfect fit for the requirements of Big data.
Businesses across the globe are increasingly focusing on taking advantage of deriving answers from the past. Big data analytics projects are initiated to solve business problems. Trying to dig into huge amounts of organization data to find patterns or hidden anomalies will give actionable insights. Analyzing Big data can boost enterprise sales, increase their efficiency, and improve operations, customer service, customer satisfaction, customer retention, and risk management. This will help enterprises to gain a competitive advantage over others. Learn about applications of Big Data Analytics in various sectors which give a huge commercial benefit to the businesses.
Big Data Trends in Malaysia
After real-time speech analytics, customer journey analytics will rise significantly with the vision to improve customer experience and productivity. In-memory computing is the latest technology which is gaining popularity because of the dropping of cost for memory. It is helping businesses like banks, retailers, etc to detect patterns and analyze the huge amounts of data effortlessly. As per the Analytics insight predictions, IoT will be merged with Data Analytics. There will be a 21% rise in the IoT market that will expand to 5.8 billion endpoints in the year 2020. The objective of merging IoT with data analytics and Machine learning is to enhance the outcomes of Machine learning. This combination boosts efficiency and delivers quick results and this trend will continue to evolve. This was predicted by IDC before. Another trend would be Augmented Analytics.
In 2020, it will become the first choice for the business to purchase which deals with analytics and business intelligence. Augmented Analytics with artificial intelligence and machine learning automates the process for business insights. It retrieves data, cleans, and analyzes the data. This will be user friendly for small businesses. Continuous Intelligence is a new technology with real-time analytics and business operations. Its results depend upon historical data and current data. This technology has the potential to drive business related to airlines, railroads, etc. It provides effective customer support. According to Gartner, by 2022 above 50 percent of the upcoming businesses will adopt continuous intelligence to gain a competitive edge. Continuous Intelligence technology will be leading among other technologies like Machine learning, Augmented analytics, event stream processing, etc.
How We Prepare You
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Additional Assignments of over 60-80 hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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6 Months Access to LMS
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Job Assistance in Big Data for Managers Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in a Live Project
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Life Time Free Access to Industry Webinars
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