Compare courses from top Australian unis, TAFEs and other training organisations.

Location
Online
Study Mode
Online

Outcomes
Data Analyst, Data Scientist
View All
QualificationShort Courses

Awarded ByLearning People
Duration
120 Hours (2 months full time; 4 months part time)

Start Date
Start Anytime
Payment Option
Payment plan, Upfront payment

How Much Will It Cost?

Please enquire for further details.

Flexible payment plans are available for this course, making it easier to invest in your future. Enquire now to find out more!

Course Rundown

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 the data field. This comprehensive training programme covers essential skills and knowledge areas, including statistical modelling, machine learning, and programming, which are crucial for developing advanced solutions and predictive models. Participants will engage with four key tracks: Data Analyst, Data Wrangler, Data Ops, and Data Scientist, ensuring a well-rounded understanding of the data landscape.

Throughout the course, learners will delve into practical topics such as Python and R for Data Science, data wrangling techniques, and the architecture of data pipelines. The curriculum is structured to provide 120 guided learning hours, with assessments designed to reinforce knowledge and skills. Upon successful completion, participants will receive a digital certificate, signifying their competence in the field and enhancing their employability in a rapidly evolving job market.

With a focus on flexible, self-paced learning, this course empowers individuals to take control of their educational journey while receiving support from industry experts. The Data Analyst to Data Scientist course not only equips learners with the latest tools and techniques but also prepares them for the exciting opportunities that await in the data science domain. Enquire to learn more.

Eligibility

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.

FAQS