Overview
Our Data Science Certification Course is designed to equip individuals with the necessary skills and knowledge to excel in a career in the field of Data Science. This course is intended for individuals who are interested in acquiring skills in data analysis, machine learning, data visualization, and predictive modeling.
One of the main advantages of pursuing our Data Science Certification Course is that it can open a wide range of career opportunities. As companies become more data-driven, there is an increasing demand for professionals who can extract valuable insights from data. Data Scientists are highly sought-after in industries such as finance, healthcare, e-commerce, and marketing.
Whether you are a beginner or an experienced professional, our Data Science training program will equip you with the knowledge and skills needed to succeed in this field. You can take this course online from anywhere, allowing you to fit your learning around your schedule.
Course Description & Learning Outcomes
In our Data Science course, students typically learn a variety of skills, including programming languages such as Python, data manipulation and cleaning, data visualization, statistical analysis, machine learning algorithms, and more. The course also includes real-world projects that allow students to apply their skills to real-world problems. Earning our Data Science certification can be a valuable asset when seeking employment in this field. Many employers prefer candidates who have demonstrated their knowledge and skills by obtaining a recognized certification. Additionally, our Data Science certification can often lead to higher salaries and increased opportunities for career advancement.
Recommended Prerequisites
There are no pre-requisites for this program. You just need motivation to learn and hunger for knowledge.
Schedule
End Date: 18 May 2025, Sunday
Occurs every Saturday and Sunday from 4PM-7PM Singapore Time
Location: OnlinePricing
Course fees: $699
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Data Visualisation (Proficiency level: Proficient)
- Python (Proficiency level: Proficient)
- Structured Query Language (SQL) (Proficiency level: Proficient)
- Excel (Proficiency level: Proficient)
- Machine Learning (Proficiency level: Proficient)
- Data Analytics (Proficiency level: Proficient)
- Communication Skills (Proficiency level: Beginner)
