The Complete Introduction to Basic Data Analytics Course Singapore
With the increasing competitiveness in Singapore, it is not enough to have a diploma or degree. Employers are increasingly looking for candidates with practical experiences and certifications that can support their skills. Therefore, many institutions have started Basic Data Analytics Course from organizing detailed workshops too.
Fun fact- Data analytics has also been listed as one of the highest-paid industries.
What is data science and why is it important?
Data science is a field of study that uses various strategies, processes, and systems to organize and analyze data in many ways, whether structured or unstructured. With more data, comes more knowledge.
Being competent in data science would mean that you can better understand your consumers to create more personalized products and services to meet their diverse needs.
Course details
· Award: Certificate of participation
Duration: 36 hours
Course
Schedule: twice a week for 6 weeks
Topics covered
-Virtual reality ecosystem: present and Future
-Virtual reality tools and techniques
-File formats for an immersive experience
-Creating worlds for virtual reality
-Export the immersive experience and Playtests
-Creating immersive and interactive Systems
-UI local and global space
-Criteria for selecting a virtual Reality pipeline
-Virtual Reality Prototyping: Story, UX Journey
Creation, Experience Creation
-Export the interactive experience and Playtests
Software Taught
- Unity
- C #
What our course has to offer:
· Technical skills
Data Analytics Courses in Singapore gives you a foundational understanding of all the skills we discussed above, as well as hands-on experience with them. For example, you must be able to write SQL functions for query-based structured analysis such as aggregation functions, extreme value identification, data division and limiting, etc.
·
· Interpersonal skills
If you're thinking that you can always take a soft skills course outdoors, think again. While you can become a better communicator with it, the soft skills for data analysis are different.
It offers tools and templates that you can use both now and in the future.
It allows you to practice communication skills in different ways and styles.
Important Hard and Soft Skills Learned from Basic Data Analytics Course
· Hard skill:
-Fundamentals of Excel Analytical Functions and Conditional Formatting
-Understand the tools and techniques used in planning and monitoring business analytics.
-Mastering the concepts of requirements lifecycle management
-Gain insight into the agile perspective
-Learn to analyze data with Tableau and create interactive dashboards
-Master the Agile Scrum project management approach
-Gain expertise in Agile Scrum methodologies and applications, daily scrum synchronization, sprint planning and review
-Understand the key concepts of business analysis and the Business Analysis Core Concept Model (BACCM)
-Gain advanced knowledge to identify, define, evaluate, and complete various elements of business analysis tasks.
-Mastering SQL UQT and SQL concepts
-Plan, execute, monitor and track Scrum projects
-Absorb the agile philosophy and gain a deep understanding of scrum
-Apply Scrum effectively in your organizations
· Soft skills:
-Time management
-Ability to understand objectives
-Effective verbal communication
-Good listening skills
-Be able to hold meetings with stakeholders.
-Technical writing skills
Conclusion
Education in data science is in its formative stages of development; it is evolving towards a self-sufficient discipline and producing professionals. Data Analytics Courses in Singapore drives growth in students and increases industry demand.
Thanks for your valuable information.
ReplyDeleteI am from the background of Data Analytics Company in Singapore. This information helped me to understand better about Robotic Process Automation (RPA).
Thanks for your valuable information.
ReplyDeleteI am from the background of data analytics company in singapore. This information helped me to understand better about Basic Data Analytics.