10 Essential Data Analytics Skills You Need to Succeed in 2025

The digital economy of Singapore is growing at a rapid rate, and every year, its share of contribution to the national GDP continues to increase, a clear sign of its progress. The market value of the data science industry in the country is also growing rapidly. The driving forces behind this growth are enterprises across various sectors, including manufacturing, retail, and finance that are adopting digital techniques at a rapid rate.

Data-driven decision-making has become an indispensable part of existence for all organisations, and the ones best placed to help them in this regard are data analysts. There is a tremendous demand for skilled data analysts, which also explains why these professionals receive competitive monthly average base pay in the region of SGD 5,000.

This blog will discuss the top 10 data analytics basics and skills that candidates must have to achieve success in the domain in 2025. It will also highlight the benefits of learning data analytics as a career move in this timeframe.

Source: Glassdoor

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Data Analytics Basics: Top 10 Skills You Need to Succeed in 2025

Candidates seeking to work as a successful data analyst in 2025 must have a strong foundation in data manipulation, programming, and statistical analysis. They also need to master specific skills, such as SQL, data visualisation, Python/R, and statistics.

Technical Skills	Data Management and Data Cleaning	Analytical and Soft Skills
SQL Programming Data Visualisation Statistics and Probability Excel	Data Wrangling Data Management	Critical Thinking Communication Problem-Solving

Also Read: Top Python & R Courses for Data Science Beginners in Singapore

SQL

Candidates need to master SQL so that they can interact with databases and extract data from them. It’s a foundational skill for querying structured data, a daily task in most data science roles.

Programming

Programming languages like R and Python are fundamental prerequisites for data manipulation, building predictive models, and data analysis.

Also Read: Predictive Analytics: Future Trends and Patterns

Data Visualisation

Data visualisation helps candidates communicate the insights they have uncovered effectively through the likes of charts, dashboards, and graphs – this is a key skill in this context.

Statistics and Probability

Students must understand the concepts of statistics so that they can analyse data and draw meaningful conclusions from it.

Also Read: How to Become a Freelance Data Analyst Using Skills from Online Courses

Excel

Even in this day and age, students must be familiar with Excel so that they can perform data reporting and manipulation tasks effectively.

Data Wrangling

Data wrangling involves cleaning and organizing raw data – an essential step in the data analysis process.

It ensures the data is accurate, consistent, and ready for modeling and insights.

Data Management

Students looking to acquire the best skills required for data analysts must understand methods of storing and retrieving data – it is crucial in their line of work.

Also Read: How to Use AI & Machine Learning to Automate Data Analysis

Critical Thinking

Students must be able to identify patterns, interpret data effectively, and ask insightful questions – all of which are essential for data analysis work.

Communication

Students also need to be able to clearly convey their insights and findings to non-technical stakeholders. Such communication is an integral part of their work.

Problem-Solving

Students need to possess the ability to identify challenges in the data analysis process and address them adequately – this is a valuable skill to have in the context of data analytics basics.

Also Read: The Ultimate Guide to Harnessing the Power of Data Analytics

Why Learning Data Analytics is a Smart Career Move in 2025

Acquiring data analyst skills is an excellent decision for one’s career in 2025 because there is a high demand for skilled professionals in this domain in Singapore, and industries over here, too, are becoming increasingly dependent on data to make their decisions. Specialising in data analytics helps candidates choose diverse career paths after graduation, and this can boost their earning potential significantly as well. These skills and knowledge also help them stay relevant in the rapidly evolving job market.

Also Read: Trending Online Courses for Upskilling in Singapore

How upGrad Helps You Master Data Analytics from Basics to be Job-Ready

The online data science and analytics courses offered through upGrad offer students the best skills for data analytics. They help students develop themselves with real-world case studies and projects. They also impart the best training in the various languages and tools used in both machine learning and data science.

For more information on these programs, please call +65-6232-6730 or email query@upgrad.com.

FAQs On Basics of Data Analytics

Q: How do I start learning data analytics with no experience?
Ans: Students looking to learn data analytics without any experience need to build a foundation in mathematics and statistics, explore data visualisation tools, and learn programming languages.

Q: Which programming languages should I learn for data analytics?
Ans: R and Python are the most versatile and popular programming languages that students must know for data analytics work.

Q: Is Excel still relevant for data analytics in 2025?
Ans: Yes, Excel is still a relevant tool for data analytics in 2025 because it is simple, accessible, and has robust capabilities as well.

Q: Can I learn data analytics for free online?
Ans: Yes, one can always learn data analytics for free online as there are plenty of online educational resources and platforms that offer free tutorials, courses, and certifications as well!

Q: Is data analytics a good career choice in Singapore?
Ans: Yes, data analytics is a good career choice here in Singapore – one that promises good growth both in terms of salaries and job prospects for capable candidates.