Skills Bootcamp in Data Analytics and Machine Learning

Program Overview

Skills Bootcamp in Data Analytics and Machine Learning

Overview

This Skills Bootcamp in Data Analytics and Machine Learning is a free, eight-week Level 3 course that teaches you to understand and analyze data, and communicate insights visually. You'll learn to work with data and derive valuable insights to make smarter data-driven decisions.

What You'll Learn

• Introduction to data analysis and databases
• Data analysis in Excel
• Power BI visualization with Power Query
• SQL, Excel, and Power BI project
• Introduction to Python
• Advanced Python
• Introduction to Python Pandas
• Data wrangling and mining with Python Pandas
• Data visualization with Python Matplotlib and Seaborn
• Python visualization with Pandas, Matplotlib, and Seaborn project
• The Data Place workshop (in-person)
• Introduction to machine learning with Python and Scikit-learn
• Supervised and unsupervised learning algorithm fundamentals
• Introduction to neural networks
• Recurrent neural networks for natural language processing
• Cloud services and deploying models to production
• Project presentations

Course Structure

Week One:

• Introduction to data analysis and databases
• Installation of required tools
• Exploring data with SQL databases

Week Two:

• Data analysis in Excel
• Power BI visualization with Power Query
• SQL, Excel, and Power BI project

Week Three:

• Introduction to Python
• Advanced Python

Week Four:

• Introduction to Python Pandas
• Data wrangling and mining with Python Pandas

Week Five:

• Data visualization with Python Matplotlib and Seaborn
• Python visualization with Pandas, Matplotlib, and Seaborn project
• The Data Place workshop (in-person)

Week Six:

• Introduction to machine learning with Python and Scikit-learn
• Supervised and unsupervised learning algorithm fundamentals

Week Seven:

• Introduction to neural networks
• Recurrent neural networks for natural language processing

Week Eight:

• Cloud services and deploying models to production
• Project presentations

Eligibility Requirements

• Be aged 19+
• Be living in Bath and North East Somerset, North Somerset, Bristol, or South Gloucestershire
• Have the right to live and work in the UK
• Agree to provide mandatory personal data and supplementary information on your career outcomes for up to eight months following completion of the Skills Bootcamp
• Not have completed a Skills Bootcamp funded by the Department for Education (DfE) in the last 12 months
• Have an interest in starting your own business

Required Equipment

• A personal Windows device or a work device with full admin rights and enough RAM and memory to support your studies
• A working microphone, speakers, and web camera
• A Github account created via a browser prior to starting the course

Cost

• Free, funded by the Department for Education (DfE)

Dates and Times

• This course is now full. Please register your interest to hear about upcoming courses.

How to Apply

1. Complete the application form
2. If you meet the basic eligibility criteria, a member of our team will have a short phone call with you to ensure your suitability for the course
3. If you are suitable for the course, our team will contact you to offer you a place on the course and provide you with the enrollment forms that you must fill out
4. Once you’ve returned your enrollment forms, you’ll be successfully enrolled on the course

Career Support

• After completing your Skills Bootcamp, you’ll be supported by your Career Development Coach for six months
• You’ll have access to additional training, such as our Entrepreneurship for Beginners short course
• 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 be sent a monthly newsletter with the latest job vacancies and networking events

Skills Bootcamps Outcomes

• As our Skills Bootcamps are fully funded by the Department for Education, there is an expectation that you'll keep in touch with us to let us know about any career progression opportunities you receive after completing the short course
• You’ll be provided with a short declaration form to fill out once you've secured new work

Further Learning

• Your lecturers will provide a list of further learning opportunities to expand your knowledge in topics learned within the course and new topic areas to explore
• 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

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.