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- ITIL 4 Foundation
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- ITIL 4 Foundation
A complete breakdown of technicalities, functionalities and concepts of Data Science to build your expertise in using tools and converting raw data into actionable insights. When we say in-depth program, we mean something like this:
Study Plan (in Weeks) | Course Name |
---|---|
Week 1 | Course 1: Introduction to Data Science |
Week 2 | Course 2: Analyzing and Visualizing Data with Excel |
Week 3 | Course 3: Analyzing and Visualizing Data with Power BI |
Week 4 | Course 4: Analytics Storytelling for Impact |
Week 5 – 6 | Project 1: Exploratory Data Analysis |
Week 6 – 7 | Course 5: Ethics and Law in Data and Analytics |
Week 8 – 9 | Course 6: Querying Data with Transact SQL |
Week 10 | Course 7: Introduction to Python for Data Science |
Week 11 -12 | Project 2: Data Querying and Cleaning |
Week 13 – 14 | Course 8: Data Science Research Methods: Python Edition |
Week 15 – 16 | Project 3: Data Science Research Methods |
Week 17 | Course 9: Essential Math for Machine Learning: Python Edition |
Week 18 – 19 | Course 10: Principles of Machine Learning: Python Edition |
Week 20 – 21 | Project 4: Machine Learning |
Week 22 | Course 11: Developing Big Data Solutions with Azure Machine Learning |
Week 23 | Course 12: Analyzing Big Data with Microsoft R |
Week 24 | Course 13: Implementing Predictive Analytics with Spark in Azure HDInsight |
Week 25 – 26 | Capstone Project |
Bonus Courses To Be Added After Bootcamp | |
Week 27-28 | Course 14: Introduction to R for Data Science Course 15: Essential Math for Machine Learning: R Edition Course 16: Data Science Research Methods: R Edition Course 17: Principles of Machine Learning: R Edition |
NOTE: Windows Operating System would be required to use some of the tools included in the Program.
It’s a 4-months long bootcamp. You can talk to one of our admission advisors for enrollment. In the bootcamp you’ll learn from a number of Self-paced courses, Instructor led training, one-on-one mentor sessions and adaptive learning methodologies.
You can earn as much as 30% off on the tuition fee as a scholarship. There is no minimum eligibility requirement and each application will be treated and reviewed independently by our admissions committee. Scholarship is not a part of Hofstra Continuing Education.
Graduates can choose from a Job Assistance or IT consultation training once they successfully complete their bootcamp.
You can start working as a;
With salaries between $60,000 to $140,000 annually, according to Payscale.
The bootcamp is for everyone interested in starting a career in Data Science. It could be a fresh graduate looking to acquire skills and certification in Data Science, an experienced professional planning to start a new career, or an expert who wants to upskill for new opportunities in the field.