Skills Bootcamp in Data Analytics and Machine Learning

Program Overview

This Skills Bootcamp in Data Analytics and Machine Learning equips you with the abilities to analyze data, generate insights, and make data-driven decisions. Through hands-on exercises, guest lectures, and projects, you'll develop proficiency in tools like SQL, Python, and Power BI. Upon completion, you'll be prepared for careers as a Data Analyst, Data Scientist, or other data-driven roles. Support during and after the course, including coaching and job search assistance, will enhance your employability.

Program Outline

• Course Structure:
• Week 1:
Introduction to data analysis and databases, installation of required tools, exploring data with SQL databases.
• Week 2: Data analysis in Excel, Power BI visualization with Power Query, SQL, Excel and Power BI project.
• Week 3: Introduction to Python, advanced Python.
• Week 4: Introduction to Python Pandas, data wrangling and mining with Python Pandas.
• Week 5: Data visualization with Python Matplotlib and Seaborn, Python visualization with Pandas, Matplotlib and Seaborn project, The Data Place workshop (in-person).
• Week 6: Introduction to machine learning with Python and Scikit-learn, supervised and unsupervised learning algorithm fundamentals.
• Week 7: Introduction to neural networks, recurrent neural networks for natural language processing.
• Week 8: Cloud services and deploying models to production, project presentations.
• Teaching Methods: You'll be taught by highly experienced lecturers and will benefit from guest speakers, independent and group exercises, and online learning.
You'll attend one in-person session in Bath in week five.

Assessment:

• Assessment Methods: Your progress will be reviewed in multiple formats, including verbal and written feedback, peer feedback, formal assessments, and 1-2-1 progress reviews with a Skills Bootcamp team member.
You'll also create and deliver a course project where you'll have the opportunity to showcase the skills you've learned.
• Formal Assessments: Formal assessments will happen at key points during the course but are not pass-or-fail.
They are a tool to identify your strengths and weaknesses to help you reach your goals during the Skills Bootcamp.

Careers:

• Potential Career Paths: After completing the Skills Bootcamp in Data Analytics and Machine Learning, you'll possess the skills needed to pursue an entry-level role as a:
• Data Scientist
• Data Analyst
• Data Engineer
• Business Analyst
• Data and Analytics Manager
• Python Software Developer
• Other Opportunities: You could also use the skills learned to set up as a freelancer, self-employed, or to help you secure new work.

Other:

• Employer Involvement: The Data Place will deliver guest lectures, give you feedback on your final presentation, and offer interviews to all students, giving you real-world experience and potential job offers.
They inspect services providing education and skills for learners of all ages. They also inspect and regulate services that care for children and young people. This means that all Skills Bootcamp providers must meet Ofsted’s framework regulations, ensuring you have a good experience on your learning journey.
• Wellbeing, Employability and Careers Programme: This programme focuses on an evidence-based approach, integrating a positive psychological and coaching approach with employability and career skills.
The goal is to empower you with the knowledge, skills, and experience needed to navigate the job market, portfolio careers, and self-employment successfully and to thrive in your career.
• Support During the Course: You'll have access to one-to-one wellbeing and careers coaching, workshop sessions and learning huddles, wellbeing, careers, and creativity immersions, and networking events with local employers, Skills Bootcamp alumni, and fellow learners.
This includes help with putting together a business plan. You'll be invited to a Skills Bootcamps students and alumni LinkedIn group to network and celebrate your career success with your fellow learners. You'll also receive a monthly newsletter with the latest job vacancies and networking events. You'll be provided with a short declaration form to fill out once you've secured new work. Several formats will be included, such as tutorials created by your lecturers, suggestions on topics to study, and suggestions for other free online courses or video series.