Data Science and Analytics Boot Camp
The Data Science and Analytics Boot Camp is a job-ready training program that helps you truly master the data science and data analytics field within 28 weeks. This boot camp is designed to be rigorous and packed with challenges covering data science and analytics concepts, theories, and projects to strengthen your capacities in diversified data analytics tools and coding languages. Throughout your training, you will acquire the skills and knowledge to achieve your data analyst certification or...
Data Science and Analytics Boot Camp
Details + Objectives
Course code: GES3046
What you will learn
- Go into the history of data science and its uses
- Comprehend key concepts such as accuracy, precision, confidence correlation, and causation
- Review the history of machine learning, current applications, and basic models the students should know
- Acquire the essential mathematical concepts required for machine learning.
- Learn how to visualize data using Power BI
- Visualize data with Microsoft Excel
- Learn how to use Python, NumPy, Matplotlib, Seaborn, and Pandas
- Go over the concepts around Querying Data with SQL
- Discover best practices around storytelling and data presentations
How you will benefit
- Be able to apply various data science and data analytics concepts in real-life situations/projects
- Prepare for in-demand job roles within the data analytics industry
- Receive 10 30-minute online coaching sessions with your instructor
- Possess the knowledge to pass the Microsoft PL-300 exam, which is a requirement to work as a Microsoft Certified Data Analyst
- Have the opportunity to complete the provided bonus courses that help you prepare for the Microsoft Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900), and Azure Data Scientist (DP-100) exams
How the course is taught
- Self-paced, online course
- 7 Months to complete
- Open enrollment, begin anytime
- 533 course hours
Instructors & Support
Felix Quinque
Felix Quinque has a Ph.D. in Quantum Computing from the University of Portsmouth and a B.S. degree in Artificial Intelligence and Physics from Maastricht University. He is the Co-Founder & Director of OctoShrew, a machine learning consultancy, and software development firm.
Requirements
Prerequisites:
- Experience working in Analyst Roles (Business Analyst, Financial Analyst etc.)
- Good understanding of Mathematics and/or Statistics.
- Some Basic Programming Knowledge
Requirements:
Hardware Requirements:
- This course must be taken on a PC. Macs and Chromebooks are not compatible.
Software Requirements:
- PC: Windows 8 or later. However, it is recommended to have Windows 10 to avoid compatibility issues.
- Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
- Adobe Acrobat Reader
- Software must be installed and fully operational before the course begins.
Other:
- Email capabilities and access to a personal email account.
Instructional Material Requirements:
The instructional materials required for this course are included in enrollment and will be available online.