How can you turn a data visualization internship into a full-time job?

While setting clear goals is necessary and ideal, the step one is to get an understanding of the opportunities the internship offers and what do they expect from you. Considering this, you should set what your internship goals are, what are you delivering, timelines and your learning that you’ll gain.

As an intern, what is most important thing to display is the attitude and not the skill. Don’t kill yourself trying to be the best at data visualisation because you have only just started and you are still learning. However if you have the passion to learn and you are open to learning new concept and ideas, and this comes through in your interactions and output, you will get noticed.

1. Offer to tackle complex challenges, analyze new datasets, or propose innovative visualizations. 2. Show how your work improved decision-making, increased engagement, or saved money.

A few pointers to get clarity on your work during your internship: -Understand the business, why it exists, what problem it is trying to solve, and what the challenges various stakeholders face. -Observe how your work adds value to their day-to-day operations or their working in general - Foresee if you will find the work interesting and aligned to your future goals. Upskill and work on yourself for the skills that you will need to succeed in the role

1. Focus on honing your technical skills in data analysis and visualization tools like Tableau, Python, and R. 2. Build strong relationships with your colleagues and supervisors and engage in team projects and show your collaborative spirit. 3. Take initiative in your role, for instance propose new ideas or improvements in data visualization practices that can benefit the company.

Shadowing experienced colleagues can give you invaluable insights into the daily grind of the industry. Also Remember, curiosity is key! The more you ask and observe, the more you'll grow

1. Observe their workflow, learn best practices, and ask insightful questions. 2. Take online courses, attend workshops, and experiment with new data visualization tools and techniques

Like any field, you rise to the level of exposure you have. Take the initiative to do a lot of research and find out what other professionals have done or are doing; This may entail joining some communities or forums where information is readily available. Take learning a notch higher and apply what you’ve learnt to several use cases so that you build the much-needed proficiency

In my experience, people won’t seek you out to provide advice. However, if you go up to them they will be super excited to share their own experiences and try to help you. Learning should not be passive.

1. Know the best practices, compare your code with others to learn more. 2. Connect with people learn from them . 3. If stuck feel free to seek help from other don't work in isolation.

1. Don't just throw all projects. Choose your strongest 3-5 projects that showcase diverse skills and problem-solving approaches. 2. Choose a platform that matches your style and goals. Dedicated portfolio websites like Behance or Carbonmade offer templates and customization options. 3. Interactive elements like hover effects, filters, and drill-downs adds depth into the Viz. Consider platforms like Tableau Public & Qlikview. 4. Don't just show the data, tell story. Briefly explain the context, challenge, and insights. Use clear, concise language. 5. Share your portfolio with mentors or online communities for constructive feedback.

Building your portfolio is extremely crucial. This will not only increase your chances of converting your internship into a full time position at the current organization but also give other job recruiters a clear picture of why they should invest in you. One great way to start could be tableau public if you are building a data portfolio. It is easy and accessible.

Collect Your Work: Gather your data visualization projects from your internship to include in your portfolio. These projects will demonstrate your skills, style, and experience. Regular Updates: Keep your portfolio up-to-date by adding your best work from your internship. Regular updates ensure it accurately reflects your capabilities. Professional Presentation: Organize your portfolio professionally and make it accessible. This showcase of your work can impress your supervisor, colleagues, and future employers as it highlights your achievements and expertise.

Eis a grande ferramenta para você que deseja se aprimorar ou encontrar uma oportunidade. Tenha um portfólio. Todo projeto que realizar, compartilhe e disponibilize em um portfólio. Muito importante deixar em seu portfólio os seus principais projetos, mas também colocar os primeiros projeto feitos. Isto vai facilitar e muito observar o quão você evoluiu. Saindo do primeiro projeto e visões simples, para análises mais complexas e robustas. É um diferencial que você traz no currículo, para um bate papo com recrutador.

1.build your portfolio and showcase your skills on professional platform with tagging industries based companies manager from your related domain 2. take business insights from your project that help real time problem solving

1. Attend workshops, and meetups. Actively connect with data visualization professionals, both online and offline. Share your work, ask questions, and build relationships. 2. Join relevant LinkedIn groups, follow data viz influencers on it. Share your knowledge, engage in discussions, and build your digital presence. 3. Partner with other data professionals on projects. This expands your network, broadens your skillset, and leads to innovative creations.

LinkedIn is a great place to network. But also, taking the time to say hello to coworkers and being curious about what they do in their tasks makes one more informative about the company's evolution. Who knows, maybe there's a new opening expected in another department across your team?

I don’t t recommend remote internships. While convenient, it adds a barrier to networking, collaboration and communication. Most people will make the best impression in person.

Data teams hire people not only for their hard skills and tool kits they use. They also are looking for a team mate that fits their team environment. In your internship period show your ability to be a team member. Try to understand the culture of your data team and be collaborative.

Use LinkedIn to build your network: Connect with colleagues and fellow students and share your progress on becoming a data champion to broaden your network with relevant people.

Pour passer de stagiaire à une embauche à temps plein en visualisation des données : - Choisis l’un des outils les plus utilisés : Tableau ou Power BI - Append à te familiariser avec l’interface, les fonctionnalités, le processus de travail - Apprend des experts via des tutoriels, des articles de blog, des publications LinkedIn… - Pratique ce que tu as appri en travaillant sur des projets de bout en bout. - Apprend les best practises. - Continue de te perfectionner et développe ton expertise dans l’outil. Cela te permettra d’être prisé sur le marché de l’emploi dans des rôles tels que Consultant BI, Consultant Dataviz…

From Mech Engineer to Data Viz Intern to SQL Pro: A Quick, Fun Guide 1. Career Pivot: Mech engineer to data via data viz. The easy entry. 2. Viz Whiz: Made numbers look pretty, got a front-row seat to decision-making. 3. SQL: The Turning Point: Overcame my SQL aversion. Game. Changed. 4. Info Sherlock: Mastered SQL, became the go-to data detective. 5. Big Bucks: From intern to SQL savvy = 300% salary hike! 6. Lesson: Start with what you love, push towards what you fear, end up where you're valued! In short: Viz your way in, SQL your way up!

The job market is changing. Fewer roles are purely "data visualization" related. You need to be a "full-stack" data analyst instead. You will be indispensable this way; and all the more reason for the company to offer you a permanent role. How do you be a full-stack data analyst? ✅ M𝐚𝐭𝐡𝐬 𝐚𝐧𝐝 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 1/ Descriptive statistics 2/ Outliers, anomaly detection ✅ 𝐅𝐫𝐨𝐧𝐭-𝐞𝐧𝐝 1/ Excel 2/ Tableau, Power BI 3/ PowerPoint Slides ✅ 𝐁𝐚𝐜𝐤-𝐞𝐧𝐝 1/ SQL 2/ EDA, fixing data quality issues 3/ Data wrangling ✅ 𝐒𝐨𝐟𝐭 𝐒𝐤𝐢𝐥𝐥s 1/ Requirements gathering 2/ Iterate through analyses 3/ Presentation ✅ 𝐃𝐨𝐦𝐚𝐢𝐧 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠e 1/ Customer analysis 2/ Marketing & social media 3/ Operations 4/ Financial & Risk

To convert data visualization internship into a full time job, here are the few things to consider in your resume: 1. Get a good hands on with a scripting language( I recommend Python programming as it is widely used for Data analytics) 2. Practice lots and lots of SQL scripting. This is the most desired skill in Data Visualization roles. 3. Get certified for the data visualization tools in the market.

never treat data visualisation work as traditional UI/UX work, in such solution need is insights and business outcome than how it looks and feel. The adoption of your work is dependent on what value it brings on the table than how it looks. While showcasing your work to your recruiter\Interviewer ensure to emphasise on the solution that you brng through data visualisation by answering questions like this - 1. Does your solution help them take day to day decision 2. Was this helping in saving some cost or gives different prospectives of customer or business 3. How you ensure data accuracy, applying some complex business logics Do not only learn data visualisation tool but try learning ETL, data modelling, scripting etc.