According to a study by IBM, there will be over 2.7 million data science job openings by 2020. The same study cited machine learning as the second-fasting growing analytical skill within two years at a growth of 56 percent. It’s clear that these two are a top priority in the marketplace today, and as such is a top priority for Simplilearn and it’s future students.
Through this partnership with IBM, our members can access live virtual classrooms and self-paced video courses that combine Simplilearn’s seamless training experience and world-class instructors with IBM’s state-of-the-art labs and course content.
Key features of the Master's Programs include portfolio-worthy Capstone Projects that demonstrate applied skills, hands-on exposure to today’s most-used tools, 24/7 access to teaching assistants, and industry-recognized certificates.
“We are delighted to partner with IBM to bring our students the most comprehensive training programs available,” said Krishna Kumar, CEO, and founder of Simplilearn. “IBM is known not just for its innovation in the world of science, but for it’s a dedication to client success. Together with IBM, we’re confident these Master’s Programs will provide everything our students need to launch new careers in data science and AI.”
The four courses are:
- The Data Scientist Master’s Program
- AI Engineer Master’s Program
- Data Analyst Master’s Program
- Data Engineer Master’s Program
The Data Science Master’s Program covers R, SAS, Python, Tableau, Hadoop, and Spark in addition to supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline.
The AI Master’s Program covers Python libraries like NumPY, SciPy, Scikit and essential Machine Learning techniques such as supervised and unsupervised learning, and advanced concepts covering artificial neural networks and layers of data abstraction, and TensorFlow.
The Data Analyst Master’s Program covers foundational to advanced analytics tools including Power BI, Tableau, and Excel, in addition to Python, and R, with a heavy focus on data visualization.
The Data Engineer Master’s Program covers today's most coveted data tools, such as Scala, Hadoop, Spark Developer, PySpark, MongoDB, Apache Cassandra, and much more.
Learn what other tools and projects are covered in these courses by viewing the syllabus for each above.
All course content will be accessible on Simplilearn’s learning management system and will follow Simplilearn’s unique blended learning structure, providing learners with expertly-crafted content that’s delivered live and via pre-recorded video to meet the needs of every student’s preference and schedule, followed by quizzes and projects to enforce the retention of each lesson. Teaching assistants and forums provide a collaborative environment to nurture students from foundational concepts all the way through completion.
Upon completion of each program, learners will receive industry-recognized certificates from Simplilearn and IBM to indicate the user has successfully completed all requirements.