Everybody wants to make a career in Data Analytics in this age and the main reason behind it is the fact that data analytics is in high demand with a very competitive salary in today’s digital landscape. There is also a lot of scope to move up the ladder of the Data Analytics industry which makes it a very lucrative career option for new jobseekers. However, to make a career in Data Analytics, choosing the right data analytics courses in Hing Kong becomes of utmost importance.
There are hundreds of such courses in the market offering all sorts of promises and that makes our selection process more difficult. Therefore, to help you have a smooth and enjoyable experience while searching for a suitable course, we have scavenged the internet, hand-picked the best out of them, and compiled the top 5 data analytics courses in Hong Kong.
But before we go through our list of the top 5 data analytics courses in Hong Kong, there are a few things that you need to know to get a proper understanding of the data analytics industry.
What is Data Analytics and What Are the Different Types of Data Analytics
The process of gathering, organizing, and transforming data to support inferences, forecasts, and well-informed decision-making is known as data analytics.
Data analysis and data analytics are sometimes conflated. Data analysis is a subfield of data analytics that focuses on deriving meaning from data. As a whole, data analytics encompasses activities beyond analysis, such as data engineering (creating data systems) and data science (using data to forecast and theorize).
To extract insights from data sets, data analytics is a multidisciplinary field that uses a wide range of analysis tools, including mathematics, statistics, and computer science.
The phrase “data analytics” is broad and encompasses everything from basic data analysis to speculating about methods of data collection and building the frameworks required for data storage.
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Prescriptive, diagnostic, predictive, and descriptive data analytics are the four main categories. When combined, these four categories of data analytics can support an organization’s decision-making process with data. Each of these quickly provides the following information:
Descriptive Analytics –
The interpretation of past data to gain a deeper understanding of business changes is known as descriptive analytics. Using a variety of historical data sets to compare one company’s quarterly or annual reporting periods to those of other companies in the same industry is known as descriptive analytics.
Descriptive analytics produces the majority of frequently reported financial data, like year-over-year (YOY) price fluctuations, month-over-month sales growth, user count, or total revenue per subscriber. Each of these metrics explains what has happened in a company over a specific time frame.
Descriptive analytics can provide businesses with important performance insights. A company can use it to compare its performance and position in the market with its competitors by looking at its historical performance, such as an increase in revenue and sales, as it is typically an industry-specific tool.
Determining the company’s current financial trends and individual employees’ ambitions is also helpful.
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Diagnostic Analytics –
A subfield of analytics called “diagnostic analytics” looks for causes for events. Businesses can learn more about the root causes of patterns they’ve noticed in their data by utilizing diagnostic analytics.
Several strategies can be used in diagnostic analytics, such as data mining and data drilling. Businesses might need to look into other data sources, possibly even external data, to look into the underlying causes of trends.
To duplicate its success and address any issues, any organization can profit from improving its comprehension of its business performance.
Companies can gain a better understanding of the internal and external elements influencing their outcomes by utilizing diagnostic analytics. It provides a more thorough view of every circumstance, assisting firms in making wiser decisions.
Beyond merely highlighting significant trends and patterns, diagnostic analytics looks for the root causes of these phenomena. Diagnostic analytics helps businesses better understand variances in consumer behavior and business performance by identifying the variables that cause patterns.
For instance, diagnostic analytics can assist businesses in comprehending the reasons behind customers’ product purchases. Businesses can tailor their marketing campaigns to those clients by using this information.
Predictive Analytics –
Predictive analytics is the phrase used to describe the application of modeling and statistical methods to forecast performance and future results. To ascertain if past and present data patterns are likely to recur, predictive analytics examines them.
This enables companies and investors to reallocate their resources to capitalize on potential future developments. Reducing risk and increasing operational efficiency are two further uses for predictive analysis.
The application of predictive analysis has many advantages. As previously stated, when there are no other (and clear) options available, doing this kind of research can help make predictions.
Models are a useful tool for corporate executives, investors, and financial experts to assist in lowering risk. For example, by taking into account certain criteria like age, capital, and goals, an investor and their adviser can utilize specific models to assist create an investment portfolio with the least amount of risk for the investor.
When models are employed, cost savings are greatly impacted. Before a product emerges, businesses can assess its chances of success or failure. Alternatively, before the manufacturing process starts, they can use predictive approaches to set aside funds for production enhancements.
The data analysis process, which entails defining the question, gathering raw data, cleaning data, analyzing data, and interpreting the results, is normally used by those who deal with data analytics to investigate each of these four areas.
Prescriptive Analytics –
Prescriptive analytics makes recommendations for a plan of action based on data on potential circumstances or scenarios, resources that are available, historical performance, and present performance.
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Data Analytics Course Overview – Eligibility Criteria, Syllabus, Duration, Fee
The eligibility criteria, syllabus, duration, and fees for data analytics courses can vary depending on the type of course you are availing. However, this compilation may give you a basic idea of what you can expect in a typical data analytics course.
The eligibility criteria for a typical data analytics course are:
- Bachelor’s degree in any relevant field such as mathematics, statistics, computer science, engineering, etc.
- Few years of professional experience in any related field.
The syllabus for a typical data analytics course is:
- Data Structures and Algorithms
- Probability and Statistics
- Relational Database Management Systems
- Business Fundamentals
- Data Collection and Visualisation
- Statistical Analysis
- Social Network Analysis
- Machine Learning
- Data Ethics and Privacy
The duration of a data analytics course depends on the type of course you are enrolled in. While a full-time Master’s program takes around 1 to 2 years, online certification courses may take around 6 months.
The average fee of a Data Analytics course is around 10,000 dollars for a full-fledged Master’s program and short-term certification courses, cost around 3,000 dollars.
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Data Analytics Career in Hong Kong After You Complete The Data Analytics Courses in Hong Kong
Data Analytics is one of the most sought-after courses in the world due to its massive demand and opportunities provided to students who like to meddle in data interpretation and analysis.
Hong Kong is not an exception. Due to the country’s demand and limited supply of data analytics professionals, there is a great possibility to make a career in data analytics there.
Just like every other part of the world, data analysts are paid very well and it is recorded that the average salary of a data analyst in Hong Kong is around 45,000 dollars per month.
If this is not incentive enough, huge companies like Moody’s, Sun Life, and so on are actively hiring data analytics graduates even in this age of artificial intelligence so you may have no fear of losing your job to AI.
Apart from that, data analytics courses in Hong Kong are readily available at affordable prices for those who want to earn a degree in the subject. These degrees help students kick-start their journey as a data analyst and give them an edge over other job seekers.
Top 5 Data Analytics Courses in Hong Kong With Placements
Now that we have relayed all the information needed for you to have an understanding of the data analytics industry, here are the top 5 data analytics courses in Hong Kong:
1. Data Analytics Master Course – IIM SKILLS
The Data Analytics Master Course by IIM SKILLS is considered one of the top-ranked data analytics courses in Hong Kong. Headquartered in New Delhi, India IIM SKILLS is present in 23 Asian cities, including Singapore and Dubai, and offers services in the fields of finance, marketing, data, and education.
The Data Analytics Course from IIM SKILLS is a globally recognized online certification that makes you a master in data analytics with hands-on tool-based learning.
They not only teach you how to use 7+ data analytics tools but also make you participate in 7+ live projects, and 5+ case studies, and give you guaranteed internship opportunities and interview prep assistance.
On completion, you will earn the industry’s most trusted Master’s certification in data analytics and the best part is you will have lifetime access to all the sessions, resources, and tools via LMS.
Round-the-clock support will be given to you by the IIM SKILLS team and you will be prepared in such a way that you become industry-ready by the end of the course. All these perks have taken this data analytics course from IIM SKILLS to the top of our list of data analytics courses in Hong Kong.
Duration – 6 months live class + 2 months non-paid internship
Class mode – Online
Fee – $602.35
Placement – IBM, Adobe, Microsoft, etc.
Next intake – 28th January 2024 (Weekend batch)
- 160 hours of live lectures, 100+ hours of practical assignments
- Master Analytics tools such as Python, SQL, etc.
- Group discount of 10% on 3 or more registrations.
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2. Executive Diploma in Big Data, Data Analytics & AI – The Hong Kong Management Association
Next on our list of top 5 data analytics courses in Hong Kong is the executive diploma in big data, data analytics, and AI from The Hong Kong Management Association.
Businesses now have access to more data and information about their business environments than ever before, thanks to the Big Data and Data Analytics age. These businesses are becoming more aware of how data science can be used to leverage past and present data and outsmart rivals.
Executives with advanced Big Data, Data Analytics, and AI abilities and the capacity to make wise decisions that propel organizational success are therefore in more demand.
These fundamental tools and methods for big data and data analytics will be covered in this course. Additionally, advanced subjects like AI and machine learning will be covered.
Executives and staff will undoubtedly benefit from the course’s theories, case studies, exercises, and experience sharing as they hone and expand their Big Data Analytics skills in the dynamic business world. The newest Big Data and Analytics tools, such as Python, Power BI, Azure AI, and AWS AI cloud technologies, are also available for students to study.
This course is intended for employees and executives who work with data and information, those who aspire to work in AI, data analytics, and big data, and anyone curious about AI, data analytics, and big data approaches and implementation strategies that can support them in their day-to-day operations.
Course Details Of Data Analytics Courses In Hong Kong :
Duration – Not specified
Class mode – Offline
Fee – HK 10,200
Medium of instruction – Cantonese.
Next intake – 17th January, 2024
- Advanced topics such as machine learning and AI are included
- Latest data analytics tools such as Python, Power BI, Azure AI, etc included
- Certificate of completion once all the modules are completed
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3. Executive Certificate in Big Data and Business Analytics – HKU SPACE
In third position on our list of top 5 data analytics courses in Hong Kong is HKU SPACE’s executive certificate in big data and business analytics. The goal of this degree is to provide students with business analytics and big data understanding for management decision-making.
It is expected of students to be conversant with various big data analyses, tools, and techniques. The training gives participants an understanding of how big data is being used by the corporate sector to enhance their business models.
After completing the course, students should be capable of independently investigating widely accessible off-the-shelf Big Data tools, algorithms, and techniques; make use of already-existing Big Data tools and algorithms that are made available online for predictive analysis; use incidental AI technologies and big data analytics to support management decision-making; create big data strategies and use predictive analytics to forecast outcomes; and assess big data handling procedures in light of business ethics regarding big data collection and privacy protection.
Duration – 1 to 2 months
Class mode – Offline, part-time
Fee – $9000
Next intake – April, 2024
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4. MSc Business and Data Analytics – City University of Hong Kong
The MSc degree in business and data analytics from the City University of Hong Kong is next on our list of top 5 data analytics courses in Hong Kong.
City Institution of Hong Kong (CityU) is a leading international institution that excels at professional education and research. There are currently about 23,000 students enrolled, including over 7,000 postgraduate students.
At CityU, the main goals of teaching and learning are career growth, exploration, and the acquisition of knowledge necessary to bring about constructive social change. Their wide range of courses foster critical thinking, hone professional and creative abilities, and pave the way for fulfilling employment.
Through active learning of the theories, methods, and supporting techniques across a wide range of knowledge areas such as applied statistics, big data management, data mining, and social media analytics, the MSc in Business and Data Analytics (MScBDA) program seeks to cultivate students with professional knowledge of business data analytics.
There are two streams in the MScBDA program. Either the Quantitative Analysis for Business (QAB) or Information Analytics Management (IAM) program will admit students.
Duration – 1 year full-time, 2 years part-time
Class mode – Offline
Fee – $8,900
Next intake – 30 April, 2024
- Flexible study period
- Recognized by CPA Australia
- Free exchange program
5. Master of Science (MSc) in Data Analytics and Business Economics – Hong Kong Baptist University – Graduate School
Ending our list of top 5 data analytics courses in Hong Kong is the MSc degree in data analytics and business economics from the Hong Kong Baptist University.
Hong Kong Baptist University (HKBU), which was established in 1956, is well known for its innovative teaching methods and high-caliber research.
HKBU strikes a balance between academic brilliance and the development of the full person, preparing students with the innovative impulse and creative thinking that the twenty-first-century demands.
The University has outlined a ten-year strategic plan aimed at propelling us to new heights as a globally significant liberal arts institution led by research. Success at the university is based on its compassionate, innovative, and international culture.
Their goal is to provide the greatest possible education to our students and encourage research excellence by providing innovative, research-rich curricula in which a diverse range of learners collaborate in state-of-the-art facilities.
The Master of Science in Data Analytics and Business Economics (MScDABE) program offers a strong foundation in data analytics and business economic analysis. In addition to the foundation courses, students will learn how to assess business economic challenges utilizing pertinent data by enrolling in a variety of applicable electives.
Duration – 1 year full-time, 2 years part-time
Class mode – Offline
Fee – $190,000
Next intake – 1 March, 2024
- Balanced training in business economic knowledge, statistical models, and programming skills.
- Competent analytics-enabled professionals
- Proficient data strategists
Q. Is the data analytics course worth it?
Data Analytics is one of the most sought-after skills with a competitive salary and a lot of opportunities to grow as a professional therefore enrolling in a data analytics course is worth it.
Q. What is the data analytics course syllabus?
The syllabus for a typical data analytics course includes: Data Structures and Algorithms, Probability and Statistics, Relational Database Management Systems, Business Fundamentals, Data Collection and Visualisation, Statistical Analysis, Social Network Analysis, Optimization, Machine Learning, Simulation, Data Ethics and Privacy, Python.
Q. Who can do a data analytics course?
Students who hold a Bachelor’s degree in statistics, information technology, economics, computer science, or mathematics with an aggregate score of 60% or equivalent are eligible to do a data analytics course. If you are someone who likes to work with data, interpretation, and analysis, a data analytics course is perfect for you.
Q. How will the data analytics courses in Hong Kong help you with your goals?
A data analytics course is the first step you can take to kick-start your career in data analysis. Earning a data analytics degree from a reputable institute can give you an edge in the market over other jobseekers and provide proof of your expertise in the subject.