In an era dominated by data, the ability to derive and decipher meaningful insights from it has become a cornerstone of success across industries. Now, more than ever, data analytics plays a pivotal role in guiding decisions.
Data Analytics in the Real-World
Data Analytics in Decision-Making
Rather than relying on intuition, organisations are now empowered by data analytics to make well-informed decisions based on evidence. By looking at past patterns, trends and correlations, organisations will be equipped to prepare for the future through projection, risk management, and strategy development.
Data Analytics in Different Industries
The application of data analytics spans diverse fields. In healthcare, it optimises patient care by predicting disease outbreaks and improving treatment protocols. In financial institutions, data analytics is used for risk assessment as well as fraud detection. In retail, it is used for inventory management and customer behaviour analysis.
In addition to these sectors, data analytics is also prominent in fields like education, hospitality and tourism, marketing and advertising, etc. – the list goes on, literally.
The Growing Job Market for Data Analysts
As the demand for data-driven insights continues to increase, so does the need for skilled professionals. In other words, the job market is flourishing, with countless opportunities across various industries, making data analytics a lucrative and stable career path.
SQL: The Language of Databases
SQL and Its Significance in Data Analytics
Structured Query Language (SQL) serves as the universal language for databases, facilitating the management and retrieval of data. It plays an essential role in data analytics as it allows analysts to extract, manipulate and manage data efficiently. To find out what functions and techniques to explore in SQL, check out our previous article.
Integration with Modern Database Technologies
As for its integration with modern database technologies, SQL does so seamlessly. This enables interaction with various database management systems (DBMS) like MySQL, PostgreSQL, and Oracle, making it a must-have skill for data analysts.
Tableau: Transforming Data into Visual Insights
If you haven’t noticed from our frequent shoutouts, we love Tableau here at Heicoders Academy. Tableau is a popular (rightfully so!) and powerful data visualisation tool that allows users to create interactive and engaging visualisations.
Check out our previous write-up, where we took a deep dive into the world of Tableau, and explored features that make it a cut above its competitors. See below for a sneak-peak of how your visualisations can look like with Tableau:
Combining SQL and Tableau for Comprehensive Data Analysis
The integration of SQL and Tableau is a powerhouse in data analysis. SQL first extracts and refines data, which Tableau then visualises, providing a comprehensive analytical workflow. This partnership has been instrumental in various industries. For instance, in the retail industry, analysts can first use SQL queries to retrieve specific data, then create an interactive dashboard on Tableau for sales analysis or customer behavioural insights.
DA100: Data Analytics with SQL and Tableau
Introducing our DA100: Data Analytics with SQL and Tableau course, which is designed for beginners and professionals seeking to upskill in data analytics. This course covers SQL fundamentals, Tableau basics, and their integration for comprehensive data analysis. Learners will also gain hands-on experience in extracting and visualising data, equipping them for real-world applications.
Not convinced? Check out what our past students have to say about DA100:
That’s not all! After students have completed their course, they will continue to have access to an extensive alumni network, which provides ongoing support and networking opportunities.
What are you waiting for? This is a sign to take a leap into the DA100 course and equip yourself with these in-demand skills to embark on this transformative learning journey!