At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a supportive programme with job guarantee and expert tutor guidance.
- Benefits: Flexible payment plans, certifications, and dedicated job placement support.
- Why this job: Launch your career in data analysis with real-world projects and industry-standard tools.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates secure jobs within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 Β£ per year.
Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month.
The Programme
Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.
The Outcome
93% of graduates secure data analyst roles within 3 months. Starting salaries: 28,000 - 38,000.
Who This Is For
The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only.
Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
Data Analysis Starter Course (Southwark) in London employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Analysis Starter Course (Southwark) in London
β¨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals on LinkedIn. Building connections can lead to job opportunities that arenβt even advertised yet.
β¨Tip Number 2
Practice makes perfect! Use your newly acquired skills in Excel, SQL, Python, and Power BI to work on real-world projects. This will not only boost your confidence but also give you something impressive to showcase in interviews.
β¨Tip Number 3
Donβt underestimate the power of a tailored CV! Make sure to highlight your skills and projects relevant to the data analyst role. We can help you polish it up during our dedicated job placement support sessions.
β¨Tip Number 4
Prepare for interviews by practising common data analyst questions. Weβve got your back with interview prep resources, so take advantage of them! The more prepared you are, the more confident youβll feel.
We think you need these skills to ace Data Analysis Starter Course (Southwark) in London
Some tips for your application π«‘
Show Your Enthusiasm: When you're writing your application, let your passion for data analysis shine through! We want to see that you're excited about learning and ready to dive into the world of data. A bit of personality goes a long way!
Tailor Your CV: Make sure your CV is tailored to highlight any relevant skills or experiences, even if they're not directly related to data analysis. We love seeing transferable skills, so donβt hesitate to showcase what youβve got!
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible and avoid jargon unless itβs necessary. We want to understand your journey without getting lost in the details.
Apply Through Our Website: Donβt forget to apply through our website! Itβs the easiest way for us to receive your application and ensures youβre considered for the programme. Plus, youβll get all the latest updates directly from us!
How to prepare for a job interview at ITonlinelearning Recruitment
β¨Know Your Tools
Make sure youβre familiar with the industry-standard tools mentioned in the job description, like Excel, SQL, Python, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in your projects or coursework.
β¨Showcase Your Portfolio
Prepare to present your professional portfolio during the interview. Highlight specific projects that demonstrate your analytical skills and problem-solving abilities. Be ready to explain your thought process and the impact of your work.
β¨Practice Common Questions
Anticipate common interview questions for data analyst roles, such as those about data interpretation, problem-solving scenarios, and your experience with data tools. Practising your responses will help you feel more confident and articulate during the interview.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask thoughtful questions about the companyβs data practices or team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.