Data Analytics Fully Funded by West Mids Combined Authority

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About the course

What is Data Analytics?
The science of data analytics involves analysing raw data to draw conclusions. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that operate on raw data for human consumption.

What new skills will you acquire in data analytics?
Students will gain the understanding and apply specific measures of data analytics needed for corporations and individuals such as:

  • Data and the Internet of Things
  • Fundamentals of Data Analysis
  • Advanced Data Analysis and Machine
  • Learning 
  • Architecture for Big Data and Data
  • Engineering

What career opportunities does this course provide?
Completing the course leads you to many possibilities, you will be able to enter the data industry with the knowledge, skills, and understanding needed for roles such as:

  • Data Associate
  • Junior Data Analyst
  • Data Scientist
  • Operations Analyst

Key Information
Start date: 9th January 2023
Duration: 12 Weeks
Course type: Part-time
Timetable: Monday to Thursday, 2.00pm to 5.00pm
Delivery: Online (tutor-led classes)
Level: 3
Funding: FREE as it is funded by West Midlands Combined Authority
Certificates: Certificate of completion

Eligibility
– Live in the West Midlands
– Living in the UK for a minimum of 3 years
– You must be over 19
– Level 2 English and Maths required or studying towards

  • Career Advice
  • Student and Tutor Support

Progression
By completing the course, you will have access to many opportunities. Having the knowledge and skills will enable you to enter the data science industry.

Curriculum

  • Basics of Business Analysis
  • What is business analysis
  • The competencies of a business analyst
  • The strategic context for business analysis
  • The business analysis service framework
  • Investigating the business situations
  • Analysing and managing stakeholders
  • Improving business services and processes
  • Defining the solution
  • Establishing the requirements
  • Validating and managing requirements
  • Delivering the requirements
  • Delivering the business solutions
  • Introduction to Data Analysis & Big Data
  • Data and the Internet of Things
  • Fundamentals of Data Analysis
  • Data Analysis
  • Advanced Data Analysis and Machine
  • Learning
  • Storytelling with Data
  • Architecture for Big Data and Data
  • Engineering

 

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