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For Corporate and in-house training
There is a massive demand for data scientists who can reinvent business models using Python, as the current industries are only capturing a small fraction of the potential contained. The rapid technological advancements in Data Science have restructured global organizations and enhanced their performance to new heights in Melbourne.
.....This Python programming course of Data Science is an umbrella course that includes major Data Science concepts like statistics fundamentals, hypothesis testing, regression classification modeling techniques, and machine learning algorithms.
Extensive hands-on labs and interview prep will help you land lucrative jobs.
42 Hours of Live Instructor-Led Sessions
60 Hours of Assignments and MCQs
36 Hours of Hands-On Practice
6 Real-World Live Projects
Fundamentals to an Advanced Level
Code Reviews by Professionals
There are thousands of companies that need team members who can transform data sets into strategic forecasts. You will learn how to use data science methods and techniques through Python training. This course will help you acquire in-demand jobs in Melbourne as Data Science has bagged the top spot in LinkedIn’s Emerging Jobs Report for the last three years.
.....The requirement for data engineers has gone up by 50% and for data scientists by 32% in the year 2020. As the post-COVID world has realized the potential of the tools and aids that can be offered to brands through AI and Data Science, it has taken the center stage. The average salary for Data Scientists is A$1,05,300 per year in Melbourne, and the demand for data scientists is pegged to grow by 16% between 2020 and 2028, a rate that is faster than the average for all occupations (PayScale).
Not sure how to get started? Let our Learning Advisor help you.
Our immersive learning approach lets you learn by doing and acquire immediately applicable skills hands-on.
Learn theory backed by real-world practical case studies and exercises. Skill up and get productive from the get-go.
Get trained by leading practitioners who share best practices from their experience across industries.
Our Data Science advisory board regularly curates best practices to emphasize real-world relevance.
Webinars, e-books, tutorials, articles, and interview questions - we're right by you in your learning journey!
Six months of post-training mentor guidance to overcome challenges in your Data Science career.