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 certification.
You will learn fundamentals of data science, principles of machine learning, python programming, data analytics, and data visualization. In addition to preparing for Microsoft PL-300 (Power BI Data Analyst), you will have the option to take provided bonus courses that prepare you for other top industry certifications, such as Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900), and Azure Data Scientist (DP-100). No college degree or experience is needed.
Upon course completion, you will be prepared for the following roles that carry a U.S. average salary range of $70,000 - $150,000:
- Data Storyteller
- Data Scientist
- Data Analyst
- Machine Learning Engineer
Instructor(s):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:
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.
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Lesson 1
- Introduction to Data Science and Analytics
- Introduction to Mathematics for Data Science
- Analyzing and Visualizing Data with Microsoft Excel
- Analyzing and Visualizing Data with Microsoft Power BI
- Exploratory Data Analysis: 1st Data Science Project
- Introduction to Python for Data Science
- Essential Math for Machine Learning: Python Edition
- Data Science Research Methods: Python Edition
- Application of Machine Learning: Python Implementation
- Machine Learning: 2nd Data Science Project
- Querying Data with SQL
- Data Presentation and Visualization
- Data Querying and Cleaning: 3rd Data Science Project
- Ethics and Law in Data & Analytics
- Analytics Storytelling for Impact
- Capstone Project: Analyzing the COVID-19 Pandemic
- Bonus Course Microsoft Azure Fundamentals (AZ-900)
- Bonus Course Azure Data Fundamentals (DP-900)
- Bonus Course Azure Data Scientist (DP-100)
- Time to Dive In! – Resources to help you get hired
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