At a Glance
- Tasks: Complete a 10-week online training to become a data analyst.
- Company: Join a programme with a job guarantee and expert support.
- Benefits: Flexible payment plans, certifications, and dedicated job placement assistance.
- Why this job: Launch your career in data analysis with industry-standard tools and real projects.
- Qualifications: No experience needed; perfect for beginners and career changers.
- Other info: 93% of graduates secure roles within 3 months; limited spaces available.
The predicted salary is between 22400 - 32000 Β£ per year.
Job Description
Data Analyst Course Programme Job Guarantee Included
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 (Basildon) 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 (Basildon)
β¨Tip Number 1
Network like a pro! Reach out to fellow students, tutors, and industry professionals on LinkedIn. We can help you connect with potential employers who are looking for fresh talent.
β¨Tip Number 2
Practice your interview skills! We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform when it counts.
β¨Tip Number 3
Tailor your portfolio! Showcase projects that highlight your skills in Excel, SQL, Python, and Power BI. We suggest including real-world applications to impress potential employers.
β¨Tip Number 4
Apply through our website! Weβve got dedicated job placement support ready to help you land that first data analyst role. Donβt miss out on the chance to get direct introductions to employers!
We think you need these skills to ace Data Analysis Starter Course (Basildon)
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 growing in this field, so don't hold back on expressing why you want to join our programme.
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 if you've got experience with problem-solving or analytical thinking, make it pop!
Keep It Clear and Concise: We appreciate a straightforward application. Keep your language clear and to the point, and avoid jargon unless it's necessary. This helps us understand your background and motivations without getting lost in the details.
Apply Through Our Website: Don't forget to apply through our website! It's the easiest way for us to receive your application and ensures you get all the latest updates about the programme. Plus, we can't wait to see what you bring to the table!
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 and analysis techniques. Practising your responses will help you feel more confident and articulate during the actual interview.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask insightful 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.