Machine Learning 101 | Career in Machine Learning | Skills needed in Machine Learning
In this video on Machine Learning 101, Mani Kanteshwar, Sr Data Scientist, WalmartLabs, talks about Machine Learning basics, machine learning applications, types of analytics, prescriptive analytics, predictive analytics, descriptive analytics, Career Option in Machine Learning and AI and skills required to become a Machine Learning professional.
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About the course
Do you want to master the essential skills of Machine Learning and derive insights for making better business decisions? Machine Learning is the science of using computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends. And with the global Big Data market booming exponentially, there is a huge demand for skilled data scientists.
Key Features
In Collaboration with Gramener: The Data Science and Machine Learning certification course is designed in collaboration with the industry leader in Data Science - Gramener.
Manipal ProLearn Career Leap Assurance: Get exposure with 3 networking sessions with companies, 1 capstone project & lifetime alumni privileges.
Earn Course Credits: Earn 16 Credits from Manipal Academy of Higher Education from upon completion of the Machine Learning and Data Science certification.
What you Learn
After completing the Data Science and Machine Learning certification, you’ll be considered as a strong and competent data scientist. The course will help you to:
Perform data analysis, modeling, predictive analysis, and storytelling through data visualization which is crucial to business decision-making.
Apply the methods, tools, and techniques by leveraging technologies such as Excel, R, Python, SQL, NoSQL, Hadoop, Pig, Hive, Apache Spark and other open source and proprietary products as well.
Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems.
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