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For Corporate and in-house training
Machine Learning with Python training will give you a well-rounded introduction into the various methodologies that come under data science. Certified industry experts with rich experience will ensure that you understand the purpose and real-world implications of Machine Learning with Topics like supervised learning, and Machine Learning algorithms.
.....The training will teach you to build practical solutions for businesses using Python solutions. Through case studies and assignments, you will learn to manipulate, process, analyze, and clean data with the required tools and rich Python libraries like Pandas, Matplotlib and Scikit. You will also master topics like regression, classification, clustering and sci-kit learn.
48 Hours of Live Instructor-Led Sessions
80 Hours of Assignments and MCQs
45 Hours of Hands-On Practice
10 Real-World Live Projects
Fundamentals to an Advanced Level
Code Reviews by Professionals
Machine Learning jobs requirements are rising in Austin and all over the world. Skilled data scientists and data engineers are in demand across various industries including aerospace, finance, banking, healthcare, travel, tourism, manufacturing, gaming, and more. Acquire in-demand machine learning and Python skills and meet that need.
.....The average salary for a data scientist in Washington is US$1,09,257 per year and according to the Bureau of Labor Statistics, the demand for data scientists is pegged to grow by 16% between 2020 and 2028, a rate that’s faster than the average for all occupations.
Capitalize on the demand for the ‘hottest job of the 21st century’ with a program carefully curated for industry relevance
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.