Data Analyst Level 4 apprenticeship for retailers
Our levy-funded Data Analyst Apprenticeship (L4) equips learners with an advanced skill set to empower them to extract, manipulate and visualise data, enabling organisations to answer complex questions and drive strategic value. Across 14 months, learners will undertake 10 expert designed modules. Consisting of a blend of in-person and remotely taught modules, whilst receiving 1:1 coaching, attending check-ins and submitting assignments to K.A.T.E.® (Knowledge Assessment Teaching Engine) a unique AI-powered learning and assessment platform developed by Cambridge Spark for upskilling in Data Science. Then finally preparing for and undertaking their end point assessment and certification exams.
Benefits of the course:
- Python Proficiency Gain the ability to write in the programming language Python and use advanced data analysis tools such as Pandas and NumPy. As well as work with different data formats, types and databases such a SQL.
- Gain Tools and Techniques Develop a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data.
- Data Visualisation Learn how to summarise, present and make recommendations from the results of data analysis.
- Collaborative Mindset Gain the ability to work efficiently in any Data Analytics team. Learn how to quickly test and prototype code in a production environment, follow industry best practices, and use collaborative workflows.
- Data Collection & Extraction Identify, collect and migrate data to/from a range of internal and external systems. Perform database queries across multiple tables to extract data for analysis.
- Develop Strong Analytical Skills Gain an understanding of the architecture and engineering constraints of big data systems, and how to apply tools such as Hadoop and Spark, to gather, process and analyse large amounts of data.
Duration: 14 months
Cost: £15,000
Qualification gained: BCS Data Analyst (level 4) Apprenticeship Certificate
Data Analyst Level 4 apprenticeship for retailers
Our levy-funded Data Analyst Apprenticeship (L4) equips learners with an advanced skill set to empower them to extract, manipulate and visualise data, enabling organisations to answer complex questions and drive strategic value. Across 14 months, learners will undertake 10 expert designed modules. Consisting of a blend of in-person and remotely taught modules, whilst receiving 1:1 coaching, attending check-ins and submitting assignments to K.A.T.E.® (Knowledge Assessment Teaching Engine) a unique AI-powered learning and assessment platform developed by Cambridge Spark for upskilling in Data Science. Then finally preparing for and undertaking their end point assessment and certification exams.
Benefits of the course:
- Python Proficiency Gain the ability to write in the programming language Python and use advanced data analysis tools such as Pandas and NumPy. As well as work with different data formats, types and databases such a SQL.
- Gain Tools and Techniques Develop a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data.
- Data Visualisation Learn how to summarise, present and make recommendations from the results of data analysis.
- Collaborative Mindset Gain the ability to work efficiently in any Data Analytics team. Learn how to quickly test and prototype code in a production environment, follow industry best practices, and use collaborative workflows.
- Data Collection & Extraction Identify, collect and migrate data to/from a range of internal and external systems. Perform database queries across multiple tables to extract data for analysis.
- Develop Strong Analytical Skills Gain an understanding of the architecture and engineering constraints of big data systems, and how to apply tools such as Hadoop and Spark, to gather, process and analyse large amounts of data.
Duration: 14 months
Cost: £15,000
Qualification gained: BCS Data Analyst (level 4) Apprenticeship Certificate