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About the Course
Career Outcome
Fees
The Data Analyst to Data Scientist course offered by Learning People is designed to facilitate a seamless transition for professionals looking to advance their careers in data science. This comprehensive training programme covers essential topics such as statistical modelling, machine learning, and programming, equipping participants with the advanced skills necessary to develop predictive models and sophisticated data solutions. With a focus on practical applications, learners will engage with tools like Python, R, and MongoDB, ensuring they are well-prepared for the evolving demands of the data science field.
Throughout the course, participants will navigate four key tracks: Data Analyst, Data Wrangler, Data Ops, and Data Scientist. Each track is structured to build upon the previous one, allowing for a progressive learning experience that culminates in a certification of completion. The course is designed for individuals who are already comfortable working with data applications and possess a foundational knowledge of Python and cloud systems. With 120 guided learning hours, students can choose to study full-time or part-time, making it a flexible option for those balancing professional and personal commitments.
Learning People’s commitment to providing a supportive learning environment is evident through their tailored career services and ongoing student support. This ensures that participants not only gain the technical skills required for a successful career in data science but also receive guidance in navigating the job market. Enquire to learn more about how this course can help unlock new opportunities in the data science landscape.
There are no formal prerequisites for this course but it is ideal for those who are comfortable working with data applications and have a working knowledge of Python and Cloud systems.
In the Data Analyst to Data Scientist course, the subjects that may be studied include: