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If you’re passionate about data and enjoy problem-solving, a data analyst role might be the perfect fit.
As a data analyst, you’ll be the driving force behind informed decision-making. By gathering, cleaning, and analyzing data, you’ll help businesses uncover trends, identify opportunities, and optimize their strategies. Let’s explore one potential path to becoming a data analyst.
You can build a strong portfolio, master key data analysis techniques, and launch your career in data with Torilo Academy’s beginner-friendly Data Analyst Professional Certificate Training. It is designed to equip you with the essential skills for an entry-level role. Under the guidance of experienced tutors. And the best part? You can complete this comprehensive program in just 8 weeks!
Accelerate your career in data, and earn a data analysis certification teaching high-demand skills used by data analysts.
Next Start date
11th September, 2024
Extended registrations ends Sept 4th
Duration
12 weeks
Schedule
Twice Weekdays 10am - 2pm
or
Saturdays 10am - 5pm
Format
Physical or Online
Now, let’s delve deeper into each of these seven steps.
Data analysts are in high demand across industries, and there are multiple paths to breaking into this exciting field. Whether you’re a recent graduate or looking to switch careers, here’s how to get started.
New to the world of data analysis? The first step is to build a strong foundation. A comprehensive overview can help you determine if this career path is right for you and equip you with practical skills.
Traditionally, a bachelor’s degree was a prerequisite for most entry-level data analyst roles. This is now less common place, as the landscape is evolving. Alternative pathways are becoming increasingly the route to a Data Analytics career. Explore professional certificate programs, bootcamps, or self-study courses to acquire the necessary skills to help you start.
Landing a data analyst job often hinges on possessing specific technical skills. Whether you’re pursuing a bootcamp, training centre, or self-study, here are the essentials:
To tailor your learning, review job listings in your desired industry and focus on the specific extraction, manipulation or visualization tools listed as requirements.
Beyond technical skills, hiring managers also value workplace competencies. Strong communication skills, especially the ability to explain complex findings to non-technical audiences, are essential. Problem-solving skills and domain knowledge in your target industry can also set you apart.
Accelerate your career in data, and earn a data analysis certification teaching high-demand skills used by data analysts.
Next Start date
11th September, 2024
Extended registrations ends Sept 4th
Duration
12 weeks
Schedule
Twice Weekdays 10am - 2pm
or
Saturdays 10am - 5pm
Format
Physical or Online
As you delve into data projects, save your best work for your portfolio. This collection will demonstrate your skills to potential employers and can significantly boost your job prospects.
When curating your portfolio, focus on projects that showcase your ability to:
If you’ve collaborated on group projects, include one to highlight your teamwork skills.
Need inspiration? Browse other data analyst portfolios to see what types of projects are valued by employers.
While technical skills are essential, effective communication is equally crucial for data analysts. Your ability to present findings to decision-makers and stakeholders will significantly impact your success. By telling a compelling story with data, you can guide your organization toward data-driven decisions.
As you work on your portfolio projects, practice presenting your findings. Consider the key message you want to convey and the visuals that will best support your narrative. Remember to speak clearly, maintain eye contact, and use gestures to emphasize your points. Rehearse in front of a mirror, classmates, or even record yourself to identify areas for improvement.
With experience in data analysis and strong communication skills, you’re ready to take the next step: securing an entry-level data analyst job.
Don’t be afraid to apply for positions that might seem slightly beyond your current skill set. Your enthusiasm, portfolio, and overall fit can often outweigh a few missing qualifications.
If you’re still in school, explore internship opportunities through your university’s career services office. Internships offer invaluable hands-on experience and can help you apply your classroom knowledge in a real-world setting.
As you progress in your data analyst career, consider your goals and explore opportunities for advancement. Certifications and advanced degrees can enhance your qualifications and open doors to higher-paying roles.
Certifications like the Certified Analytics Professional or Cloudera Certified Associate Data Analyst can validate your skills and make you a more attractive candidate for advanced positions.
If you aspire to become a data scientist, a master’s degree in data science or a related field can be beneficial. While not always mandatory, an advanced degree can expand your career horizons and provide a competitive edge.
Many employers seek data analyst candidates with experience. However, you don’t need to wait for a formal job to start building your skills. Data is everywhere!
If you’re transitioning from another field, leverage opportunities to work with data. Many degree programs, certificates, and online courses include hands-on projects with real datasets. Additionally, you can find free datasets online or even collect your own to practice data collection, cleaning, analysis, and visualization.
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Contact Us:
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