At a Glance
- Tasks: Learn data analysis skills and gain hands-on experience in a structured programme.
- Company: Join a leading training provider dedicated to your career success.
- Benefits: Marketable qualifications, job placement support, and potential salaries up to £80,000.
- Other info: Guaranteed job placement support or your fees back within a year.
- Why this job: Kickstart your career in data analysis with expert training and recruitment support.
- Qualifications: No prior experience needed; just a passion for data and learning.
The predicted salary is between 30000 - 50000 £ per year.
Training Course Overview
Our specialized Data Analyst career programme assists entry‑level individuals with limited or no experience in achieving a Data Analyst role.
The programme comprises four steps leading to a marketable qualification and job placement support.
- Step 1 – Comp TIA Data+ Qualification
- Learn data mining, manipulation, visualization and reporting.
- Study time approximately 30 hours.
- Pass a 1‑hour multiple‑choice exam.
- Step 2 – Data Administration Training
- Microsoft Excel – expert level.
- SQL – database extraction.
- Python 3 – data analysis.
- Tableau – dashboard creation.
Study time 30–60 hours, no exam required.
- Step 3 – Business Analysis Foundation
- BCS accredited Certificate.
- Study time approximately 15 hours.
- Validate via online exam.
- Step 4 – Recruitment Support
Upon completion, a recruitment support team assists with job applications, interview preparation and CV tailoring for entry‑level Data Analyst positions.
Qualifications and Pay Range
- Junior Data Analyst – £30,000
- Data Analyst – £50,000
- Business Data Analyst – £67,500
- Data Analytics Analyst – £80,000
- Business Analysts – £60,000
- Guarantee
If a suitable role is not secured within one year of qualification, study fees (excluding exam costs) are refunded.
#J-18808-Ljbffr
We think you need these skills to ace Data Analyst Placement Programme in Frimley
Data Mining
Data Manipulation
Data Visualization
Data Reporting
Microsoft Excel (Expert Level)
SQL (Database Extraction)
Python 3 (Data Analysis)